AI Distilled

Google announces Veo and Imagen 3: new video and image generation modelsAI_Distilled #79: Sam Altman announces "12 days of OpenAI"Learn Million Dollar AI Strategies & Tools in this 3 hour AI Training for Free.If you are not an AI-powered professional today, you will either:-Get replaced by a person who uses AI-Face a slow career growth & lower salary-Keep spending 10s of hours on tasks that can be done in 10 minutes.Best thing? We’re running the Black Friday Sale so you can get it for absolutely free (for the first 100 readers).Save your seat now (Offer valid for 24 hours only)Welcome to AI_Distilled. Today, we’ll talk about:TechwaveSam Altman announces "12 days of OpenAI"Google announces Veo and Imagen 3: new video and image generation modelsDeepMind Genie 2: generate interactive worlds that look like video gamesIntel data scientist's survival guide to GenAINvidia launches Ingest: Multimodal PDF Data ExtractionAwesome AI:Polymet - Idea to prototype within secondsClipAnything - Choppityfal.aiEarkick - Your Personal AI ChatbotOuterbase | The interface for your databaseMasterclass:Voice Trigger System for SiriAlign Meta Llama 3 to human preferences with DPOAn Intuitive Intro to RLEnhancing LLMs with Structured Outputs and Function CallingSafely repairing broken builds with MLHackHub:Agents for software developmentOpen-source LLM app development platformbuild, manage & run useful autonomous agentsUnderstand Human Behavior to Align True NeedsGenerative models for conditional audio generationCheers!Shreyans SinghEditor-in-Chief, Packt⚡ TechWave: AI/GPT News & AnalysisSam Altman announces "12 days of OpenAI"OpenAI is celebrating with a special event called "12 Days of OpenAI," where, for twelve days, the company will reveal new models, features, and updates via livestreams. Anticipated reveals include full release of its o1 reasoning model, updates on its voice modes, including a festive Santa voice, a new AI agent called Operator, a web browser, a desktop app update, and advancements in AI-generated music and vision fine-tuning. Notably, OpenAI may also introduce new AI chips and even GPT-5, which promises improved reasoning and customization.Google announces Veo and Imagen 3: new video and image generation modelsGoogle Cloud has introduced two advanced generative AI models, Veo and Imagen 3, on its Vertex AI platform. Veo allows businesses to generate high-quality videos from simple text or image prompts, transforming creative assets into dynamic visuals quickly and affordably. Imagen 3, launching next week, creates highly realistic images from text prompts, offering more detail and fewer visual artifacts than previous models. Both models are built with safety features, such as digital watermarking and safety filters, to ensure responsible use.DeepMind Genie 2: generate interactive worlds that look like video gamesDeepMind has introduced Genie 2, an advanced AI model capable of generating interactive 3D worlds that resemble video games. Unlike previous models, Genie 2 can create dynamic environments from just a single image and a text description, allowing users to interact with the scene, like jumping or swimming. The model simulates object interactions, physics, and animations, and can remember parts of the world even when they’re not visible, offering a more consistent and realistic experience. While not designed for full gaming experiences, Genie 2 is a tool for research, creative prototyping, and evaluating AI agents.Intel data scientist's survival guide to GenAIWhile GenAI tools can produce impressive results, they heavily rely on clean, well-structured data and insightful interpretation—areas where data scientists excel. Your expertise in data analysis, modeling, and statistical methods ensures that these models can make accurate, actionable predictions. GenAI platforms need data scientists to optimize and evaluate models, enhance their performance, and ensure their deployment is successful. Tools like Modin, Intel-optimized frameworks, and MLflow help streamline the process, making data preparation, model training, and deployment more efficient, particularly when working on Intel hardware.Nvidia launches Ingest: Multimodal PDF Data ExtractionNVIDIA-Ingest is a powerful microservice for extracting and processing content from documents like PDFs, Word, and PowerPoint files. It can analyze and separate text, images, tables, and charts, delivering them in a structured JSON format. Using NVIDIA's advanced tools, including OCR and AI-driven parsing, it enables efficient data processing for downstream applications like generative AI or embedding storage in vector databases like Milvus. It supports flexible workflows and can handle tasks like splitting documents, generating embeddings, and transforming data💻 Awesome AI: Tools for WorkPolymet - Idea to prototype within secondsPolymet is an AI-powered tool that helps users quickly turn ideas into prototypes by generating designs and production-ready code in seconds. Users can describe what they need, iterate on the design with their team, and then export the code and designs, which can easily integrate with tools like Figma and existing codebases.ClipAnything - ChoppityChoppity is an AI-powered video editing tool that allows users to quickly find and clip moments from any video using visual, audio, and sentiment analysis. With its "ClipAnything" feature, users can search for specific parts of a video, such as key events, people, or emotions, without having to manually review hours of footage.fal.aiFal.ai is a generative media platform designed for developers to create and deploy AI-powered applications, particularly focused on text-to-image models. It offers fast, cost-effective inference with models like FLUX.1 and Stable Diffusion, optimized for various creative tasks.Earkick - Your Personal AI ChatbotEarkick is an AI-powered mental health app that helps users track and improve their emotional well-being in real time through a personal chatbot named Panda. Earkick tracks mental readiness, mood, and calmness, while providing daily insights, breathing techniques, and guided self-care sessions.Outerbase | The interface for your databaseOuterbase is an AI-powered platform that simplifies working with databases for engineers, researchers, and analysts. It supports SQL and NoSQL databases, allowing users to manage data securely while using AI tools to write queries, fix mistakes, and generate charts and visualizations instantly. Outerbase's table editor, dashboards, and data catalog help users organize, analyze, and share insights efficiently.🔛 Masterclass: AI/LLM TutorialsVoice Trigger System for SiriApple's voice trigger system for Siri includes a first-stage low-power detector to identify potential triggers, and a second-stage, high-precision model to confirm the trigger. It also incorporates speaker identification to ensure the device responds only to its primary user. This sophisticated setup addresses challenges like background noise and phonetically similar words while maintaining power efficiency and privacy.Align Meta Llama 3 to human preferences with DPODPO involves fine-tuning a large language model (LLM) based on feedback from human annotators who rate or rank the model's responses according to desired values, such as helpfulness and honesty. SageMaker Studio provides the computational environment to fine-tune the model using Jupyter notebooks with powerful GPU instances, while SageMaker Ground Truth simplifies the process of gathering human feedback by managing workflows for data annotation. Together, they allow you to align the Llama 3 model’s responses with specific organizational values efficiently.An Intuitive Intro to RLReinforcement learning (RL) is a type of machine learning where an agent learns by interacting with its environment, making decisions, and receiving feedback in the form of rewards or penalties. The goal is to maximize cumulative rewards over time. The agent starts with little to no knowledge and improves through trial and error, learning from past experiences. In RL, actions taken by the agent change the state of the environment, and based on the rewards received, the agent adjusts its future actions. A key concept in RL is balancing exploration (trying new things) and exploitation (using known strategies for rewards).Enhancing LLMs with Structured Outputs and Function CallingEnhancing LLMs with structured outputs and function calling improves their ability to provide accurate and useful responses. Structured outputs ensure consistency and clarity by organizing information in a logical format, reducing ambiguity. Function calling allows LLMs to perform specific tasks, such as retrieving real-time data or executing external functions, making them more interactive and versatile. Combined with techniques like Retrieval-Augmented Generation (RAG), which integrates relevant external information into the model’s responses, these enhancements lead to more reliable, accurate, and contextually rich conversations with LLMs.Safely repairing broken builds with MLGoogle's engineers have developed a machine learning model called DIDACT to automatically repair broken code builds by analyzing historical data of build errors and their fixes. This model suggests potential fixes to developers directly within their Integrated Development Environment (IDE). In a controlled experiment, the use of these machine learning-suggested fixes improved productivity by reducing active coding and feedback time, and increasing the number of completed code changes.🚀 HackHub: AI ToolsAll-Hands-AI/OpenHandsOpenHands is an AI-powered platform designed to assist with software development, allowing agents to perform tasks similar to human developers. These agents can modify code, run commands, browse the web, call APIs, and even use resources like StackOverflow. OpenHands is easy to set up using Docker and can be run in various modes, including scriptable or interactive CLI.langgenius/difyDify is an open-source platform for developing AI applications, offering an intuitive interface that integrates workflows, agent capabilities, model management, and observability features. Dify's core features include a visual AI workflow builder, integration with numerous LLMs, agent tools, and a retrieval-augmented generation (RAG) pipeline for document handling.TransformerOptimus/SuperAGISuperAGI is an open-source framework designed for developers to create, manage, and run autonomous AI agents. It allows seamless operation of multiple agents simultaneously and provides tools to extend their capabilities. With features like graphical interfaces, performance telemetry, and integration with multiple vector databases, SuperAGI enables AI agents to efficiently handle tasks, learn from experience, and optimize token usage.lllyasviel/Paints-UNDOPaints-Undo is an open-source project that provides AI models designed to simulate the drawing process in digital art. By inputting a completed image, users can generate a sequence of steps showing how that image might have been created, mimicking the "undo" function in digital painting software.Stability-AI/stable-audio-toolsStable-Audio-Tools is an open-source library for working with audio generation models. It provides tools for training and running models that generate audio, including a Gradio interface for testing. Users can install the library via PyPI, and the repository includes scripts for both training models and performing inference.📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

AI Code Review for Developers | TragAI_Distilled #78: Customize how Claude responds: Concise, Explanatory, or FormalLearn the Roadmap to making $100k using LinkedIn & AI (for free)🚀In just 90 minutes, you’ll learn how to:👉 Automate lead generation to grow your business effortlessly.👉 Master LinkedIn's $100K strategy to increase revenue while saving time.👉 Use AI to secure high-paying roles, bypassing endless applications.Join Vaibhav Sisinty, a LinkedIn influencer with over 400K followers, who’s transformed the LinkedIn strategies of over 200,000 professionals. Normally valued at $399, this workshop is free for the first 100 readers.Claim Your Free Spot Now (Only 100 seats available!)Welcome to AI_Distilled. Today, we’ll talk about:TechwaveCustomize how Claude responds: Concise, Explanatory, or FormalRunwayML: Introducing FramesAnthropic introduces the Model Context Protocol: SmolVLM - small yet mighty Vision Language ModelCursor announces new code editor UI and agentAwesome AI:Paperguide: AI Research Assistant & Chat with PDFCapGo AI: Spreadsheet That Fills ItselfAI Code Review for Developers | TragConversational AI Survey with Real-time Follow upsSagaLabs: Earn 200x More with In-context AI translation from the worldMasterclass:ControlNets for Stable Diffusion 3.5 Large — Stability AIAutomatically generating cloud configurations: Introducing RAGformationBoost your Continuous Delivery pipeline with Generative AI | Google CloudCreating with Video to Video on Gen-3 Alpha and Turbo – RunwayModel-Based Transfer Learning for Contextual Reinforcement LearningHackHub:Andrew Ng releases an open-source Python framework to swap between LLMs with one line of codeOpenInterpreter/open-interpreter: A natural language interface for computersItzCrazyKns/Perplexica: Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AIsouzatharsis/podcastfy: An Open Source Python alternative to NotebookLM's podcast feature: Transforming Multimodal Content into Captivating Multilingual Audio Conversations with GenAIblack-forest-labs/flux: Official inference repo for FLUX.1 modelsCheers!Shreyans SinghEditor-in-Chief, PacktScale your scrapers with Apify’s Black Friday Boost planGet a 30% prepaid usage bonus on Apify this Black Friday. Scrape data for app integrations, performance tracking, competitive research, or custom pipelines. Use pre-built scrapers, build your own from scratch, or use quick-start code templates. The Boost plan ends December 5 - grab it while you can!Claim your bonus now⚡ TechWave: AI/GPT News & AnalysisCustomize how Claude responds: Concise, Explanatory, or FormalAnthropic has introduced a new feature for its Claude AI assistant that allows users to customize its writing style to match their own or adjust it for specific tasks. Users can choose from three preset styles—Formal, Concise, and Explanatory—or create personalized styles by uploading sample text for Claude to mimic. This feature aims to make interactions feel more natural and tailored, whether for technical documents, professional emails, or casual chats.RunwayML: Introducing FramesRunway's new image generation model, Frames, offers advanced stylistic control and visual fidelity, allowing creators to design consistent yet creatively flexible visuals. Integrated into Gen-3 Alpha and the Runway API, Frames helps users craft detailed aesthetic worlds, from cinematic portraits to retro-inspired designs. Frames aims to redefine creative workflows by enabling precise and imaginative visual storytelling.Anthropic introduces the Model Context Protocol: Anthropic has introduced the Model Context Protocol (MCP), an open-source standard aimed at improving how AI assistants access and use data from various sources, like business tools and content repositories. MCP enables two-way connections between AI models and data systems through "MCP servers" and "MCP clients," simplifying integration and reducing the need for custom connectors. promising to create more seamless and scalable AI integrations, MCP faces competition from proprietary alternatives like OpenAI’s "Work with Apps,".SmolVLM - small yet mighty Vision Language ModelSmolVLM is a highly efficient and compact 2-billion-parameter Vision-Language Model (VLM) that delivers state-of-the-art performance for its size and memory usage. Designed for speed, memory efficiency, and ease of customization, SmolVLM is fully open-source under the Apache 2.0 license, with tools, training recipes, and datasets readily available. Its three variants—Base, Synthetic, and Instruct—support fine-tuning and out-of-the-box applications. By optimizing image token encoding and leveraging innovative architecture, SmolVLM runs effectively on smaller devices like laptops, offering fast inference and low GPU memory usage.Cursor announces new code editor UI and agentCursor's 0.43 update transforms the AI-powered code editor into a more efficient and developer-friendly tool. Key features include a unified workspace with the redesigned Composer UI, advanced automation for debugging and package installation via the Composer Agent, and enhanced semantic search for faster, context-aware results. The update also introduces proactive debugging with the experimental BugFinder tool, visual cues for easier file management, and context-aware coding suggestions.💻 Awesome AI: Tools for WorkPaperguide: AI Research Assistant & Chat with PDFCapGo AI: Spreadsheet That Fills ItselfAI Code Review for Developers | TragConversational AI Survey with Real-time Follow upsSagaLabs: Earn 200x More with In-context AI translation from the world🔛 Masterclass: AI/LLM TutorialsControlNets for Stable Diffusion 3.5 Large — Stability AIStable Diffusion 3.5 Large introduces three new ControlNets—Blur, Canny, and Depth—designed to enhance image generation precision. Blur enables high-fidelity upscaling for detailed visuals, Canny uses edge maps for structured illustrations, and Depth leverages depth maps for architectural and 3D applications. These models are free for non-commercial and small-scale commercial use.Automatically generating cloud configurations: Introducing RAGformationRAGformation is an open-source AI tool designed to simplify cloud configuration by automating the selection of services, cost estimation, and architecture design. Using natural language input, it generates tailored cloud setups, including visual flow diagrams, pricing details, and a comprehensive blueprint. Powered by Retrieval-Augmented Generation (RAG) and tools like LlamaIndex and Pinecone, RAGformation dynamically adjusts recommendations based on user preferences and budgets.Boost your Continuous Delivery pipeline with Generative AI | Google CloudGenerative AI, such as Google Cloud's Gemini models, enhances software development by automating repetitive tasks and improving code quality throughout the development lifecycle. Beyond assisting in coding within IDEs, AI can streamline continuous delivery pipelines by automating code reviews, generating release notes, and detecting potential issues early. For example, integrating Gemini into a CI/CD pipeline allows developers to receive AI-driven feedback on pull requests and summaries of code changes, reducing manual effort and boosting productivity. Tools like the "friendly-cicd-helper" demonstrate how AI can complement traditional processes, freeing developers to focus on strategic tasks while maintaining high-quality standards.Creating with Video to Video on Gen-3 Alpha and Turbo – RunwayThe Gen-3 Alpha and Turbo models offer an enhanced "Video to Video" feature, allowing users to transform the style of videos using text prompts. The Turbo model is faster and more cost-effective, supporting resolutions up to 1280x768 and videos of up to 20 seconds. To use this feature, select a model, upload a supported video, and draft a detailed prompt to define the desired style. Additional settings, like structure transformation and aspect ratio, allow for customization. Once configured, the tool generates stylized videos, with results saved in the Generative Video folder for easy access.Model-Based Transfer Learning for Contextual Reinforcement LearningThis paper introduces Model-Based Transfer Learning (MBTL), a framework to improve generalization in contextual reinforcement learning (RL). Traditional RL approaches often fail with minor environmental changes, and existing training methods are either too resource-intensive or prone to negative transfer. MBTL addresses this by modeling generalization performance with Gaussian processes and linear functions to predict and minimize performance gaps when transferring policies to new tasks. By integrating these models with Bayesian optimization, MBTL strategically selects training tasks, achieving up to 50x better sample efficiency in benchmarks like urban traffic. This approach paves the way for more reliable and efficient RL training methods.🚀 HackHub: AI ToolsAndrew Ng releases an open-source Python framework to swap between LLMs with one line of codeOpenInterpreter/open-interpreter: A natural language interface for computersItzCrazyKns/Perplexica: Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AIsouzatharsis/podcastfy: An Open Source Python alternative to NotebookLM's podcast feature: Transforming Multimodal Content into Captivating Multilingual Audio Conversations with GenAIblack-forest-labs/flux: Official inference repo for FLUX.1 models📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

What is the Chinchilla Scaling Law?AI_Distilled #77: GenAI for YouTubersWelcome to AI_Distilled. Today, we’ll talk about:Awesome AI:Adobe Firefly Video Model previewReddit ScoutIlluminate by GoogleThunderbit | Personalized Web AI CopilotVerse: Make free digital pagesMasterclass:GenAI for YouTubers- Google DeepMindThe Basics Behind AI Models for Self-Driving CarsWhat is the Chinchilla Scaling Law?Improve RAG performance using Cohere RerankMIT researchers have developed "Co-LLM"HackHub:Upscayl: free and open source AI image upscalerRoop: one-click face swapAnthropic-quickstarts: build deployable applications using the Anthropic APIMulti-GPT: An experimental open-source attempt to make GPT-4 fully autonomousFacebook Audioseal: Localized watermarking for AI-generated speech audiosCheers!Shreyans SinghEditor-in-Chief, Packt💻 Awesome AI: Tools for WorkAdobe Firefly Video Model previewAdobe has introduced its new Firefly Video Model, a generative AI tool designed to enhance video editing within Adobe's software like Premiere Pro. It enables users to generate videos using text prompts, create atmospheric elements like fire or water, fill timeline gaps, and even bring still images to life.Reddit ScoutReddit Scout is a tool that quickly summarizes Reddit comments to help users find the best products to buy, saving time sifting through lengthy threads. It provides a detailed summary of discussions on various topics, such as smart home security systems, and is available as a Chrome extension.Illuminate by GoogleThis platform offers AI-generated audio discussions on various topics, transforming written content into engaging audio summaries. Each entry provides a concise audio summary of key papers and articles, making complex information easily accessible.Thunderbit | Personalized Web AI CopilotThunderbit is an AI-powered tool designed to help business users automate various web tasks. It offers features like AI Web Clipper for extracting essential details from websites, voice note-taking to convert voice into structured notes, and AI-assisted data sync between business tables.Verse: Make free digital pagesVerse is an app that turns your music taste into a visual representation of your personal space, like a digital bedroom inspired by the songs you listen to. It lets you explore and download creative content, from music and art to guides and reviews.🔛 Masterclass: AI/LLM TutorialsEmpowering YouTube creators with generative AI - Google DeepMindGoogle DeepMind is introducing generative AI tools, Veo and Imagen 3, to YouTube creators through a feature called Dream Screen. This will allow users to generate creative video backgrounds for YouTube Shorts by starting with a text prompt and choosing from four AI-generated images. Veo will then turn the selected image into a high-quality 6-second video clip.The Basics Behind AI Models for Self-Driving CarsThis article explains how AI models for self-driving cars work by simulating driving behaviors using sensor data and a neural network. It outlines the basic mechanics: cars are equipped with sensors that detect proximity to objects in all directions, and the model uses this data to predict acceleration, braking, and steering. The neural network is trained on synthetic data that mimics human driving decisions, such as how much to turn or accelerate based on obstacles. A five-layer neural network built with PyTorch is used to train the model, which is evaluated based on its accuracy and crash rates.What is the Chinchilla Scaling Law?The Chinchilla Scaling Law, introduced in 2022, proposes that smaller language models can outperform larger ones if trained on significantly more data. Traditional models like GPT-3 increased in size without proportionally scaling the training data, leading to inefficiencies. The Chinchilla Scaling Law suggests an optimal balance between model size and data, showing that doubling the amount of data for every doubling of model size can maximize performance with the same compute resources.Improve RAG performance using Cohere RerankCohere Rerank helps improve RAG's performance by reordering retrieved documents based on a relevance score using deep learning. This second-stage process refines the results by aligning them more closely with user queries, boosting search accuracy and efficiency. Cohere Rerank can be integrated easily with tools like Amazon SageMaker.MIT researchers have developed "Co-LLM"MIT researchers have developed "Co-LLM," an algorithm that enables large language models (LLMs) to collaborate for more accurate and efficient solutions. It pairs a general-purpose model with a specialized expert model, with a "switch variable" that identifies when the general model needs help. This process allows the general model to handle most of the response, while the expert model steps in only when needed, improving accuracy and efficiency. The approach mimics how humans consult experts for specific tasks.🚀 HackHub: AI Toolsupscayl/upscaylUpscayl is a free, open-source AI-powered image upscaler that lets you enhance and enlarge low-resolution images without losing quality. The tool uses advanced AI algorithms like Real-ESRGAN. You'll need a Vulkan-compatible GPU for best results.s0md3v/roopRoop is an AI-based face-swapping tool that allows you to replace the face in a video with a face of your choice using just a single image—no training or large datasets required. Once set up, you can swap faces in videos by specifying source and target files through command-line options.anthropics/anthropic-quickstartsAnthropic Quickstarts is a set of projects that help developers easily build and deploy applications using the Anthropic API. These quickstarts offer a solid foundation for various applications, starting with a customer support agent powered by Claude, Anthropic's AI.sidhq/Multi-GPTMulti-GPT is an experimental system where multiple specialized GPT models, known as "ExpertGPTs," work together to accomplish tasks. Each expert has its own memory (both short and long-term) and can communicate with other experts to solve complex problems. The system integrates advanced capabilities like internet searches, file storage, and long-term data recall. Users can interact with it by setting tasks, and the experts will collaborate autonomously to complete them, leveraging GPT-4 for text generation and optional tools like Pinecone for memory storage.facebookresearch/audiosealAudioSeal is a speech watermarking method that embeds invisible watermarks into audio, making it possible to detect watermarked segments even after editing. It uses a generator to create watermarks and a detector to find them in real-time with high accuracy, operating up to 100 times faster than existing models.📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

An Intuitive Intro to RLAI_Distilled #76: Align Meta Llama 3 to human preferences with DPOWelcome to AI_Distilled. Today, we’ll talk about:Awesome AI:Polymet - Idea to prototype within secondsClipAnything - Choppityfal.aiEarkick - Your Personal AI ChatbotOuterbase | The interface for your databaseMasterclass:Voice Trigger System for SiriAlign Meta Llama 3 to human preferences with DPOAn Intuitive Intro to RLEnhancing LLMs with Structured Outputs and Function CallingSafely repairing broken builds with MLHackHub:Agents for software development Open-source LLM app development platformbuild, manage & run useful autonomous agentsUnderstand Human Behavior to Align True NeedsGenerative models for conditional audio generationCheers!Shreyans SinghEditor-in-Chief, Packt💻 Awesome AI: Tools for WorkPolymet - Idea to prototype within secondsPolymet is an AI-powered tool that helps users quickly turn ideas into prototypes by generating designs and production-ready code in seconds. Users can describe what they need, iterate on the design with their team, and then export the code and designs, which can easily integrate with tools like Figma and existing codebases.ClipAnything - ChoppityChoppity is an AI-powered video editing tool that allows users to quickly find and clip moments from any video using visual, audio, and sentiment analysis. With its "ClipAnything" feature, users can search for specific parts of a video, such as key events, people, or emotions, without having to manually review hours of footage.fal.aiFal.ai is a generative media platform designed for developers to create and deploy AI-powered applications, particularly focused on text-to-image models. It offers fast, cost-effective inference with models like FLUX.1 and Stable Diffusion, optimized for various creative tasks.Earkick - Your Personal AI ChatbotEarkick is an AI-powered mental health app that helps users track and improve their emotional well-being in real time through a personal chatbot named Panda. Earkick tracks mental readiness, mood, and calmness, while providing daily insights, breathing techniques, and guided self-care sessions.Outerbase | The interface for your databaseOuterbase is an AI-powered platform that simplifies working with databases for engineers, researchers, and analysts. It supports SQL and NoSQL databases, allowing users to manage data securely while using AI tools to write queries, fix mistakes, and generate charts and visualizations instantly. Outerbase's table editor, dashboards, and data catalog help users organize, analyze, and share insights efficiently.🔛 Masterclass: AI/LLM TutorialsVoice Trigger System for SiriApple's voice trigger system for Siri includes a first-stage low-power detector to identify potential triggers, and a second-stage, high-precision model to confirm the trigger. It also incorporates speaker identification to ensure the device responds only to its primary user. This sophisticated setup addresses challenges like background noise and phonetically similar words while maintaining power efficiency and privacy.Align Meta Llama 3 to human preferences with DPODPO involves fine-tuning a large language model (LLM) based on feedback from human annotators who rate or rank the model's responses according to desired values, such as helpfulness and honesty. SageMaker Studio provides the computational environment to fine-tune the model using Jupyter notebooks with powerful GPU instances, while SageMaker Ground Truth simplifies the process of gathering human feedback by managing workflows for data annotation. Together, they allow you to align the Llama 3 model’s responses with specific organizational values efficiently.An Intuitive Intro to RLReinforcement learning (RL) is a type of machine learning where an agent learns by interacting with its environment, making decisions, and receiving feedback in the form of rewards or penalties. The goal is to maximize cumulative rewards over time. The agent starts with little to no knowledge and improves through trial and error, learning from past experiences. In RL, actions taken by the agent change the state of the environment, and based on the rewards received, the agent adjusts its future actions. A key concept in RL is balancing exploration (trying new things) and exploitation (using known strategies for rewards).Enhancing LLMs with Structured Outputs and Function CallingEnhancing LLMs with structured outputs and function calling improves their ability to provide accurate and useful responses. Structured outputs ensure consistency and clarity by organizing information in a logical format, reducing ambiguity. Function calling allows LLMs to perform specific tasks, such as retrieving real-time data or executing external functions, making them more interactive and versatile. Combined with techniques like Retrieval-Augmented Generation (RAG), which integrates relevant external information into the model’s responses, these enhancements lead to more reliable, accurate, and contextually rich conversations with LLMs.Safely repairing broken builds with MLGoogle's engineers have developed a machine learning model called DIDACT to automatically repair broken code builds by analyzing historical data of build errors and their fixes. This model suggests potential fixes to developers directly within their Integrated Development Environment (IDE). In a controlled experiment, the use of these machine learning-suggested fixes improved productivity by reducing active coding and feedback time, and increasing the number of completed code changes.🚀 HackHub: AI ToolsAll-Hands-AI/OpenHandsOpenHands is an AI-powered platform designed to assist with software development, allowing agents to perform tasks similar to human developers. These agents can modify code, run commands, browse the web, call APIs, and even use resources like StackOverflow. OpenHands is easy to set up using Docker and can be run in various modes, including scriptable or interactive CLI.langgenius/difyDify is an open-source platform for developing AI applications, offering an intuitive interface that integrates workflows, agent capabilities, model management, and observability features. Dify's core features include a visual AI workflow builder, integration with numerous LLMs, agent tools, and a retrieval-augmented generation (RAG) pipeline for document handling.TransformerOptimus/SuperAGISuperAGI is an open-source framework designed for developers to create, manage, and run autonomous AI agents. It allows seamless operation of multiple agents simultaneously and provides tools to extend their capabilities. With features like graphical interfaces, performance telemetry, and integration with multiple vector databases, SuperAGI enables AI agents to efficiently handle tasks, learn from experience, and optimize token usage.lllyasviel/Paints-UNDOPaints-Undo is an open-source project that provides AI models designed to simulate the drawing process in digital art. By inputting a completed image, users can generate a sequence of steps showing how that image might have been created, mimicking the "undo" function in digital painting software.Stability-AI/stable-audio-toolsStable-Audio-Tools is an open-source library for working with audio generation models. It provides tools for training and running models that generate audio, including a Gradio interface for testing. Users can install the library via PyPI, and the repository includes scripts for both training models and performing inference.📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

Build a generative AI image description applicationAI_Distilled #75: Rethinking the Role of PPO in RLHF💥 FREE AI & ChatGPT Workshop (Limited time Offer) 🤯An AI-powered professional will earn 10x more. 💰An AI-powered founder will build & scale his company 10x faster 🚀An AI-first company will grow 50x more! 📊🚀Join this 3-hour AI Workshop (worth $399) - FREE for AI_Distilled readers to learn AI strategies & hacks to 10X work output and grow your business.🗓️ Tomorrow | ⏱️ 10 AM ESTWith AI & Chatgpt, you will be able to:✅ Make smarter decisions based on data in seconds using AI✅ Automate daily tasks and increase productivity & creativity✅ Skyrocket your business growth by leveraging the power of AI✅ Save 1000s of dollars by using ChatGPT to simplify complex problems👉 Hurry! Click here to register (FREE for First 100 people only) 🎁SponsoredWelcome to AI_Distilled. Today, we’ll talk about:Awesome AI:Build web applications quickly by generating front-end codePowerful APIs for speech-to-text, text-to-speech, and language understandingv0 by VercelRevolutionize Your Storyboarding ProcessMeasure developer shipping velocity, accuratelyMasterclass:Build a generative AI image description applicationVisualizing and interpreting decision treesRethinking the Role of PPO in RLHFEnhancing Paragraph Generation with a Latent Language Diffusion Model Transparency is often lacking in datasets used to train large language modelsHackHub:A natural language interface for computersLLM app development platform2^x Image Super-ResolutionVideo generation platform based on diffusion modelsPop Audio-based Piano Cover GenerationCheers!Shreyans SinghEditor-in-Chief, Packt🚀 Exclusive for Packt Community: 50% Off Generative AI in Action!Join 25+ top AI experts and access 30+ sessions at our flagship event (Nov 11-13, LIVE). Public tickets are at 35% off, but you get 50% off—our best rate!Limited seats available prices rise by $200 once they're gone. Don’t wait!Book Now with Code BIGSAVE50💻 Awesome AI: Tools for WorkGPT EngineerBuild web applications quickly by generating front-end code using technologies like React, Tailwind, and Vite. Users can describe their app ideas, sync them with GitHub, and deploy them with a single click.OpenHomeAI-powered voice interface that enables natural, seamless conversations with devices using its Voice SDK, allowing any platform to integrate smart voice control. It offers powerful APIs for speech-to-text, text-to-speech, and language understanding, making it ideal for applications like medical transcription and smart home automation. 500 features, including instant translation, emotion detection, and media control.v0 by VercelGenerate web development components and full interfaces quickly using chat-based prompts. It helps developers create UI elements like buttons, modals, and pages by simply describing what they need, enabling faster development workflows.StoryboarderRapidly transform ideas into detailed storyboards, animatics, and screenplays. With features like Image-To-Video, the platform can turn static images into dynamic videos, enhancing storytelling and saving time. It supports various media projects, including commercials, films, and social media content, and offers integrated scriptwriting, consistent art styles, and expert support to streamline the creative process.Maxium AIAccurately measure developer efficiency by tracking shipping velocity and performance, going beyond just lines of code or commits. It integrates with GitHub to provide a standardized evaluation mechanism across different tech stacks and programming languages.🔛 Masterclass: AI/LLM TutorialsBuild a generative AI image description applicationThis guide explains how to build an application for generating image descriptions using Anthropic's Claude 3.5 Sonnet model on Amazon Bedrock and AWS CDK. By integrating Amazon Bedrock’s multimodal models with AWS services like Lambda, AppSync, and Step Functions, you can quickly develop a solution that processes images and generates descriptions in multiple languages. The use of Generative AI CDK Constructs streamlines infrastructure setup, making it easier to deploy and manage the application.Visualizing and interpreting decision treesTensorFlow recently introduced a tutorial on using dtreeviz, a leading visualization tool, to help users visualize and interpret decision trees. dtreeviz shows how decision nodes split features and how training data is distributed across different leaves. For example, a decision tree might use features like the number of legs and eyes to classify animals. By visualizing the tree with dtreeviz, you can see how each feature influences the model's predictions and understand why a particular decision was made.Rethinking the Role of PPO in RLHFIn Reinforcement Learning with Human Feedback (RLHF), there's a challenge where the reward model uses comparative feedback (i.e., comparing multiple responses) while the fine-tuning phase of RL uses absolute rewards (i.e., evaluating responses individually). This discrepancy can lead to issues in training. To address this, researchers introduced Pairwise Proximal Policy Optimization (P3O), a new method that integrates comparative feedback throughout the RL process. By using a pairwise policy gradient, P3O aligns the reward modeling and fine-tuning stages, improving the consistency and effectiveness of training. This approach has shown better performance in terms of reward and alignment with human preferences compared to previous methods.Enhancing Paragraph Generation with a Latent Language Diffusion Model The PLANNER model, introduced in 2023, enhances paragraph generation by combining latent semantic diffusion with autoregressive techniques. Traditional models like GPT often produce repetitive or low-quality text due to "exposure bias," where the training and inference processes differ. PLANNER addresses this by using a latent diffusion approach that refines text iteratively, improving coherence and diversity. It encodes paragraphs into latent codes, processes them through a diffusion model, and then decodes them into high-quality text. This method reduces repetition and enhances text quality.Transparency is often lacking in datasets used to train large language modelsA recent study highlights the lack of transparency in datasets used to train large language models (LLMs). As these datasets are combined from various sources, crucial information about their origins and usage restrictions often gets lost. This issue not only raises legal and ethical concerns but can also impact model performance by introducing biases or errors if the data is miscategorized. To address this, researchers developed the Data Provenance Explorer, a tool that provides clear summaries of a dataset’s origins, licenses, and usage rights.🚀 HackHub: AI ToolsOpenInterpreter/open-interpreterOpen Interpreter is a tool that allows language models (like GPT-4) to execute code locally on your machine, supporting languages like Python, JavaScript, and shell scripts. It works like ChatGPT but with the ability to interact with your system's resources.langgenius/difyDify is an open-source platform for developing AI applications using large language models (LLMs). It provides an intuitive interface for building AI workflows, managing models, and integrating tools like Google Search or DALL·E. Dify supports a wide variety of LLMs and offers features like a prompt IDE, document retrieval (RAG), agent-based automation, and detailed observability for monitoring performance.Tohrusky/Final2xFinal2x is a cross-platform tool designed to enhance image resolution and quality using advanced super-resolution models such as RealCUGAN, RealESRGAN, and Waifu2x. It's ideal for anyone looking to improve image resolution efficiently across various platforms.ali-vilab/VGenVGen is an open-source video generation platform from Alibaba's Tongyi Lab that offers a wide range of tools for generating videos from various inputs like text, images, and motion instructions. It features state-of-the-art models like I2VGen-xl for image-to-video synthesis and DreamVideo for custom subject and motion generation. VGen supports tasks like video generation from human feedback and video latent consistency modeling.sweetcocoa/pop2pianoPop2Piano is a deep learning model that automatically generates piano covers from pop music audio. Traditionally, creating a piano cover involves understanding the song's melody, chords, and mood, which is challenging even for humans. Prior methods used melody and chord extraction, but Pop2Piano skips these steps, directly converting pop music waveforms into piano covers using a Transformer-based approach. The model was trained on a large dataset of synchronized pop songs and piano covers (300 hours), enabling it to generate plausible piano performances without explicit musical extraction modules.📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

Transform your database into your AI platformAI_Distilled #74: Unlocking 7B+ language models in your browser: A deep dive with Google AI Edge's MediaPipe200+ hours of research on AI tools & hacks packed in 3 hoursThis free 3-hour Training on AI & ChatGPT (worth $399) will help you become a master of 20+ AI tools & prompting techniques and save 16 hours/week.Get it now for absolutely free! (for first 100 users only) 🎁You will learn how to:- Build business that make $10,000 by just using AI tools- Make quick & smarter decisions using AI-led data insights- Write emails, content & more in seconds using AI- Solve complex problems, research 10x faster & save 16 hours every weekRegister & save your seat now! (100 free seats only)SponsoredWelcome to AI_Distilled. Today, we’ll talk about:Awesome AI:LM Studio - Discover, download, and run local LLMsPainless Data Extraction and Web AutomationFleak AI Serverless API BuilderListen to Actual Clients' FeedbackTheysaid - Conversational AI SurveysMasterclass:Unlocking 7B+ language models in your browser: A deep dive with Google AI Edge's MediaPipeDeploying Attention-Based Vision Transformers to Apple Neural EngineMistral-NeMo: 4.1x Smaller with Quantized MinitronConnect the Amazon Q Business generative AI coding companion to your GitHub repositoriesAugmenting recommendation systems with LLMsHackHub:high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.Multi-Platform Package Manager for Stable DiffusionSharpen your low-resolution pictures with the power of AI upscalingTransform your database into your AI platformLarge language model series developed by Qwen team, Alibaba Cloud.Cheers!Shreyans SinghEditor-in-Chief, Packt💻 Awesome AI: Tools for WorkLM Studio - Discover, download, and run local LLMsLM Studio 0.3.0 is a major update to the local LLM desktop application that enhances its offline capabilities with new features. Users can now chat with documents, using either full document context or "Retrieval Augmented Generation" (RAG) for longer texts. The update also introduces an OpenAI-like JSON output API, customizable UI themes, and automatic hardware detection for optimal performance.Painless Data Extraction and Web Automation (agentql.com)AgentQL is a powerful tool for data extraction and web automation that uses AI to reliably find and interact with web elements, even as websites change. Unlike traditional methods that rely on fragile XPath or DOM selectors, AgentQL allows users to locate elements using natural language descriptions, making it easier to automate tasks like filling forms, gathering data, and conducting end-to-end testing.Fleak AI Workflows. Simplified | Serverless API Builder | fleak.aiFleak is a low-code, serverless API builder designed for data teams to quickly and easily create, integrate, and scale AI and data workflows without managing any infrastructure. It allows users to configure and deploy workflows in minutes, seamlessly integrating with tools like large language models, vector databases, and modern storage technologies.Listen to Actual Clients' Feedback | Seven24 AISeven24 helps you capture and act on user feedback with ease. Integrate their tool into your product to collect feedback via text or voice, and their AI transforms this feedback into actionable tasks. With features like sentiment analysis, you can boost positive reviews and address issues quickly.Theysaid - Conversational AI SurveysTheySaid offers the world’s first conversational AI survey, designed to significantly increase response rates and improve customer engagement. By integrating seamlessly with your existing tech stack, the AI tool generates personalized survey questions based on your website content and follows up with users through conversational interactions.🔛 Masterclass: AI/LLM TutorialsUnlocking 7B+ language models in your browser: A deep dive with Google AI Edge's MediaPipeGoogle AI Edge's MediaPipe has developed a new system that allows large language models (LLMs) to run directly in web browsers, overcoming memory and performance limitations. By using WebAssembly and WebGPU, MediaPipe can now load and execute models like Gemma 1.1 with 7 billion parameters, which was previously unfeasible in-browser. The approach includes breaking down models into manageable parts and leveraging efficient memory usage techniques to handle the massive size of LLMs.Deploying Attention-Based Vision Transformers to Apple Neural EngineThe concept of Vision Transformers (ViTs) was introduced to leverage transformer models, which were originally used in natural language processing, for image recognition tasks. Unlike traditional Convolutional Neural Networks (CNNs), Vision Transformers process images by dividing them into smaller patches and applying attention mechanisms. This approach can handle various computer vision tasks such as image classification and object detection more effectively.Mistral-NeMo: 4.1x Smaller with Quantized MinitronNVIDIA's Minitron technique makes large language models (LLMs) like Mistral-NeMo smaller and more efficient by removing less critical parts and retraining them. This process reduces the models' sizes while keeping their performance high. The Minitron version of Mistral-NeMo, for instance, shrinks the model from 12 billion to 8 billion parameters. Combining Minitron with 4-bit quantization further compresses these models, allowing them to run on smaller GPUs and reducing operational costs.Connect the Amazon Q Business generative AI coding companion to your GitHub repositoriesYou can link Amazon Q Business, an AI-powered assistant, to your GitHub repositories using the Amazon Q GitHub (Cloud) connector. This setup allows you to use natural language queries to access information like commits, issues, and pull requests from your GitHub repositories. By integrating this tool, your development team can boost productivity, reduce context switching, and quickly retrieve information from your GitHub data through a conversational interface.Augmenting recommendation systems with LLMsLarge language models (LLMs), like Google's PaLM, can significantly enhance recommendation systems by integrating advanced AI capabilities. By incorporating LLMs into the recommendation pipeline, you can improve features like conversational recommendations, sequential recommendations based on user activity, and rating predictions. LLMs can interactively suggest items, understand the sequence of user preferences, and predict ratings with high accuracy.🚀 HackHub: AI Toolszed-industries/zedZed is a high-performance, multiplayer code editor developed by the team behind Atom and Tree-sitter. It can be installed on macOS and Linux directly or through package managers, though it’s not yet available for Windows or web platforms.LykosAI/StabilityMatrixStability Matrix is a multi-platform tool designed for managing Stable Diffusion Web UI packages across Windows, Linux, and macOS. It features a customizable interface with a syntax-highlighted terminal, a model browser for importing models from CivitAI and HuggingFace, and a shared model directory for all packages.Lucchetto/SuperImageSuperImage is an Android app that uses AI to enhance low-resolution images by upscaling them to higher resolutions. Built with the MNN framework and Real-ESRGAN, it processes images in tiles on the device's GPU, merging them into a high-resolution final image. It requires Android 7 or above and support for Vulkan or OpenCL.superduper-io/superduperIntegrate AI models and machine learning workflows with your database to implement custom AI applications, without moving your data. Including streaming inference, scalable model hosting, training and vector search.QwenLM/Qwen2Qwen2 is a suite of advanced language models available in various sizes, including up to 72 billion parameters. It offers state-of-the-art performance in tasks like coding and math, and supports up to 128K tokens for extended context. The models are pretrained and instruction-tuned, and they are available for use through Hugging Face and ModelScope.📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

xAI, Elon Musk's AI startup, launches an API AI_Distilled #73: Introducing the new Claude 3.5 Sonnet, and Claude 3.5 Haiku and “Computer Use” 🚀 The Most Awaited 2-for-1 Deal Drops Tomorrow! 🚀 Unlock our 2-for-1 offer at Generative AI in Action (Nov 11-13) and bring a friend, colleague, or your team to double the learning experience. 🗓 Sale Starts: Tomorrow, Friday, Oct 25, 10 AM ET ⏳ Duration: 24 hours only Don’t miss out—mark your calendar and get ready to grab this exclusive deal! Join 25+ AI Experts, 30+ Sessions & 1000+ Tech Pros Welcome to AI_Distilled. Today, we’ll talk about: Techwave: xAI, Elon Musk's AI startup, launches an API Introducing Stable Diffusion 3.5 Introducing the new Claude 3.5 Sonnet, and Claude 3.5 Haiku and “Computer Use” Meta releases Spirit LM, open-source multimodal modelintegrating text and speech seamlessly New autonomous agents scale your team like never before Awesome AI: guidde・Magically create video documentation with AI Feta - Better stand-ups, retros, syncs and more BrowserCopilot AI - Your AI Companion Across the Web MyLens.ai: Key Points of any Webpage & Youtube with one click Trag: Superlinter for any stack Masterclass: Solving complex problems with OpenAI o1 models Thinking LLMs:General Instruction Following with Thought Generation Agent-as-a-Judge: Evaluate Agents with Agents Learn dynamic few-shot prompting with LlamaIndexworkflows for enhanced LLM performance Fine-tuning LLMs to 1.58-bit: compress models without sacrificing performance HackHub 3b1b/videos: Code for the manim-generated scenes used in 3blue1brown videos phidatahq/phidata: Build AI Agents with memory, knowledge, tools and reasoning. Chat with them using a beautiful Agent UI. ComposioHQ/composio: Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling Janus: Any-to-Anyautoregressive frameworkfor multimodal AI. Ichigo: Llama learns to talk - Homebrew Cheers! Shreyans Singh Editor-in-Chief, Packt ⚡ TechWave: AI/GPT News & Analysis xAI, Elon Musk's AI startup, launches an API Elon Musk’s AI startup, xAI, has launched an API for its generative AI model, Grok, allowing developers to integrate Grok’s features into their applications. The API currently offers a single model, "grok-beta," priced at $5 per million input tokens and $15 per million output tokens. Grok, which powers various features on X (formerly Twitter), is known for its rebellious, uncensored responses and image generation capabilities. Although still developing, xAI aims to catch up to competitors like OpenAI and Anthropic, using data from Musk's companies and X to train future models. Introducing Stable Diffusion 3.5 Stable Diffusion 3.5 is the latest release from Stability AI, offering multiple highly customizable models designed to run on consumer hardware. These models, including Stable Diffusion 3.5 Large and Large Turbo, are available for free for most uses under a permissive license. They offer a balance of high image quality, fast performance, and flexibility, making them ideal for creators, researchers, and businesses. The models can generate diverse images in various styles and are available for download on platforms like Hugging Face. Introducing the new Claude 3.5 Sonnet, and Claude 3.5 Haiku and “Computer Use” Anthropic has announced updates to its Claude 3.5 models, including the upgraded Claude 3.5 Sonnet, which excels in coding and tool use, and the new Claude 3.5 Haiku, which offers similar performance to previous top-tier models at a lower cost and faster speed. They’ve also introduced a groundbreaking “computer use” capability in public beta, allowing Claude to interact with computers like a human by navigating interfaces, clicking buttons, and typing. This feature is still experimental but has potential for automating complex tasks. Meta releases Spirit LM, open-source multimodal modelintegrating text and speech seamlessly Meta has released Spirit LM, a model for handling both spoken and written language in an interleaved manner. The repository contains model weights, inference code, and evaluation scripts for the Spirit LM model, which can be set up using Conda or pip. It includes tools for speech tokenization and text generation, with an emphasis on preserving speech-text sentiment in its outputs. New autonomous agents scale your team like never before Microsoft announced new autonomous agent capabilities in Copilot Studio to help businesses scale more efficiently. Starting next month, businesses will be able to create their own agents, designed to handle tasks like sales, supply chain management, and customer service. These agents, integrated into Dynamics 365, can automate complex processes such as lead generation, supplier communication, and customer support. 💻 Awesome AI: Tools for Work guidde・Magically create video documentation with AI Guidde is an AI-powered platform designed to help businesses quickly create video documentation, making complex workflows easier to explain. It enables users to capture processes using a browser extension or desktop app and automatically generates step-by-step instructions with customizable AI-generated voiceovers. Feta - Better stand-ups, retros, syncs and more Feta is a platform designed to help product and engineering teams run more efficient meetings by streamlining tasks and capturing key insights. It auto-compiles updates for standups, integrates with tools like Jira and GitHub, and generates actionable meeting summaries and notes. BrowserCopilot AI - Your AI Companion Across the Web Yaseen AI is a browser-based AI companion that helps professionals work more efficiently by providing real-time assistance on any website. It integrates seamlessly with workflows, offering personalized responses and support through its Copilot feature. MyLens.ai: Key Points of any Webpage & Youtube with one click MyLens.ai is a Chrome extension that transforms any webpage or YouTube video into visual summaries like mindmaps, timelines, tables, and flowcharts with just one click. It helps users quickly extract key insights from long articles, reports, or videos, saving time by breaking down complex content into clear, shareable visuals. Trag: Superlinter for any stack Superlinter, powered by Trag, is a versatile tool that allows developers to replace traditional linters and code analysis tools with a natural language-based linter that works for any programming language. Users can describe specific code patterns or rules in plain English, which the linter then enforces within their code. 🔛 Masterclass: AI/LLM Tutorials Solving complex problems with OpenAI o1 models Thinking LLMs:General Instruction Following with Thought Generation Large Language Models are typically trained to respond to user instructions based on patterns in data, but they lack the ability to think explicitly before answering. This is important for complex tasks that require reasoning or planning. To address this, a method called Thought Preference Optimization (TPO) allows LLMs to develop thinking abilities without additional human data. The process involves generating multiple potential thoughts, evaluating the quality of the final responses, and optimizing them through reinforcement learning. Agent-as-a-Judge: Evaluate Agents with Agents The "Agent-as-a-Judge" framework is a new method for evaluating agentic systems, where agents are used to evaluate other agents instead of relying on human evaluators or traditional methods that only consider final outcomes. This framework provides feedback throughout the task-solving process, which is important for agentic systems that act step-by-step, like humans. Applied to code generation, "Agent-as-a-Judge" proved more effective and reliable than the existing LLM-as-a-Judge framework and performed similarly to human evaluators, but at a much lower cost and time. Learn dynamic few-shot prompting with LlamaIndexworkflows for enhanced LLM performance In LlamaIndex, workflows are event-driven systems where functions are chained together as steps, each handling specific event types. By using the `@step` decorator, the system ensures that steps only run when a valid event is received, and each step can emit new events for the next. Workflows enable creating processes like agents, document extraction, or retrieval-augmented generation (RAG) pipelines. They are fully asynchronous, allowing efficient parallel processing, and come with built-in observability. Users can integrate global contexts, handle multiple events, and even retry steps in case of failures. Fine-tuning LLMs to 1.58-bit: compress models without sacrificing performance Fine-tuning large language models (LLMs) to use only 1.58 bits per parameter (based on the BitNet architecture) dramatically reduces their computational and memory requirements by using extreme quantization. This process limits the values of each parameter to just three options: -1, 0, and 1. Although such quantization typically requires training a model from scratch, the authors have found ways to fine-tune pre-trained models to achieve similar efficiency without losing significant performance. 🚀 HackHub: AI Tools 3b1b/videos: Code for the manim-generated scenes used in 3blue1brown videos This project contains the code used to create the math videos by 3Blue1Brown, primarily using the Manim library, a tool for generating mathematical animations. While the Manim library itself is open source under the MIT license, the content in this repository is under a Creative Commons license (CC BY-NC-SA 4.0), which allows sharing and adapting with credit but not for commercial purposes. phidatahq/phidata: Build AI Agents with memory, knowledge, tools and reasoning. Chat with them using a beautiful Agent UI. Phidata is a framework for building intelligent agents equipped with memory, knowledge, tools, and reasoning capabilities. You can create agents for various tasks, like web search or financial data analysis, and even combine them into teams to work together. ComposioHQ/composio: Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling Composio is a toolset that helps developers build AI agents equipped with a wide range of pre-configured tools and integrations with minimal effort. It simplifies tasks like authentication, accuracy, and reliability, enabling developers to create agents that can interact with platforms like GitHub, Notion, Slack, and more. Janus: Any-to-Anyautoregressive frameworkfor multimodal AI. Janus is an advanced multimodal framework that improves the way AI models understand and generate both visual and textual content. It separates the visual encoding process into distinct pathways but maintains a unified transformer architecture, which increases flexibility and performance for various tasks. Ichigo: Llama learns to talk - Homebrew Ichigo is a new speech and text multimodal model built on Llama3-s, designed for understanding and generating both audio and text. Developed through open research by the Homebrew Computer Company, Ichigo addresses key limitations in earlier models, such as limited multilingual capabilities and issues with recognizing nonspeech inputs. 📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us. If you have any comments or feedback, just reply back to this email. Thanks for reading and have a great day! *{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

Books on AI handpicked for youAre you ready to enhance your expertise and stay ahead of the curve in the latest tech trends? Dive into cutting-edge resources designed to elevate your skills.Whether you're exploring AI, refining your techniques, or mastering AI, we have the perfect reads for you.BESTSELLERS OF THE WEEKBuilding LLM Powered ApplicationsBy Valentina AltoEmbed LLMs into real-world applicationsUse LangChain to orchestrate LLMs and their components within applicationsGrasp basic and advanced techniques of prompt engineeringeBook: $19.99 $39.99Print: $34.98 $49.99Building Data-Driven Applications with LlamaIndexBy Andrei GheorghiuExamine text chunking effects on RAG workflows and understand security in RAG app developmentDiscover chatbots and agents and learn how to build complex conversation enginesBuild as you learn by applying the knowledge you gain to a hands-on projecteBook: $24.99 $35.99Print: $30.99 $44.99Deep Learning with TensorFlow and KerasBy Amita Kapoor, Antonio Gulli, Sujit PalUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesImplement graph neural networks, transformers using Hugging Face and TensorFlow Hub, and joint and contrastive learningLearn cutting-edge machine and deep learning techniqueseBook: $27.98 $39.99Print: $44.99Data Modeling with SnowflakeBy Serge GershkovichLearn core modeling techniques tied to practical examples using native Snowflake architectureAdopt a universal modeling language to communicate business value to functional teamsGo beyond physical modeling with SQL recipes to transform and shape your Snowflake dataeBook: $27.98 $39.99Print: $39.98 $49.99Databricks ML in ActionBy Stephanie Rivera, Anastasia Prokaieva, Amanda Baker, Hayley HornBuild machine learning solutions faster than peers only using documentationEnhance or refine your expertise with tribal knowledge and concise explanationsFollow along with code projects provided in GitHub to accelerate your projectseBook: $24.99 $35.99Print: $39.99 $44.99Want even more resources? Start a free trial and explore our entire library! From cloud solutions to system programming, gain unlimited access to the latest in tech. Start your free trial today.DISCOVER TRENDING TITLESThanks,PacktCopyright (C) 2024 Packt Publishing. All rights reserved.Our mailing address is:Packt Publishing, Grosvenor House,11 St Paul's Square, Birmingham,West Midlands, B3 1RB, United KingdomWant to change how you receive these emails?You can update your preferences or unsubscribe*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%}#converted-body .list_block ol,#converted-body .list_block ul,.body [class~=x_list_block] ol,.body [class~=x_list_block] ul,u+.body .list_block ol,u+.body .list_block ul{padding-left:20px} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

Make charts on Perplexity code interpreterAI_Distilled #72: Mistral AI Launches Ministral 3B and 8B Models for On-Device AI ComputingJoinGenerativeAI InActionnow withaFull Event Pass for just $239.99—40% off the regular price—with codeFLASH40.BOOK TODAY AT $239.99 $399.99Three Reasons Why You Cannot Miss This Event:Network with 25+ Leading AI ExpertsGain Insights from 30+ Dynamic Talks and Hands-On SessionsEngage with Experts and Peers through 1:1 Networking, Roundtables, and AMAsAct fast—this FLASH SALE is only for a limited number of seats!BOOK TODAY AT $239.99 $399.99Welcome to AI_Distilled. Today, we’ll talk about:Techwave:Mistral AI Launches Ministral 3B and 8B Models for On-Device AI ComputingMake charts on perplexity code interpreterIntroducing Swarm: OpenAI’s New Open-Source Multi-Agent Orchestration FrameworkOpenAI MLE-bench: Evaluating Machine Learning Agents on Machine Learning EngineeringAnthropic’s Responsible Scaling Policy, October 15, 2024Awesome AI:MU - Perplexity FinanceAdobe Launches Firefly Video Model and Enhances Image, Vector and Design ModelsYou can now search with Google Lens in the Chromebook Gallery appGradioStrella - AI-Powered Customer ResearchMasterclass:Aria: First Open Multimodal Native MOE ModelUnderstanding the Limitations of Mathematical Reasoning in Large Language ModelsNo Priors Ep. 80 | With Andrej Karpathy from OpenAI and TeslaMulti document agentic RAG: A walkthroughLLMs From Scratch Ch05/08:_Memory efficient_weight_loadingHackHubLlama-3.1-Nemotron-70B - a nvidia Collectionmlc-ai/mlc-llm: Universal LLM Deployment Engine with ML CompilationSurya: OCR, layout analysis, reading order, table recognition in 90+ languagesTEN-Agent: world’s first real-time multimodal agent integrated with the OpenAI Realtime APICinnamon/kotaemon: An open-source RAG-based tool for chatting with your documentsCheers!Shreyans SinghEditor-in-Chief, PacktLooking to build, train, deploy, or implement Generative AI?Meet Innodata — offering high-quality solutions for developing and implementing industry-leading generative AI.With 5,000+ in-house SMEs and expansion and localization supported across 85+ languages, Innodata drives AI initiatives for enterprises globally.Learn More⚡ TechWave: AI/GPT News & AnalysisMistral AI Launches Ministral 3B and 8B Models for On-Device AI ComputingMistral AI has introduced two new advanced models, Ministral 3B and Ministral 8B, designed for efficient on-device and edge computing. These models, which are more powerful and faster than their predecessors, excel in areas like knowledge, reasoning, and task execution, making them ideal for privacy-focused, offline applications such as local translation and robotics. With a large context length and specialized attention patterns, they offer low-latency and cost-effective solutions for a variety of uses, from personal projects to industrial tasks. Both models are now available for commercial and research use.Make charts on perplexity code interpreterIntroducing Swarm: OpenAI’s New Open-Source Multi-Agent Orchestration FrameworkSwarm is an experimental, educational framework developed by OpenAI to explore lightweight orchestration of multiple agents in a flexible and ergonomic way. It allows developers to create and manage multi-agent systems where agents can pass tasks or conversations between each other, handling complex workflows efficiently. Designed for educational purposes, Swarm uses OpenAI’s Chat Completions API, with agents executing Python functions and handling different tasks.OpenAI MLE-bench: Evaluating Machine Learning Agents on Machine Learning EngineeringMLE-bench is a benchmark created by OpenAI to evaluate how well AI agents can perform tasks related to machine learning engineering. It uses 75 competitions from Kaggle to test real-world skills such as training models, preparing datasets, and running experiments. Human baselines are established using Kaggle's leaderboards, and the best-performing AI setup, OpenAI's o1-preview with AIDE scaffolding, achieves results comparable to a Kaggle bronze medal in about 17% of competitions.Anthropic’s Responsible Scaling Policy, October 15, 2024Anthropic's updated Responsible Scaling Policy (RSP) outlines its commitment to ensuring that AI models do not cause catastrophic harm by implementing safety and security measures. The policy introduces AI Safety Level (ASL) Standards, which become stricter as AI capabilities increase. These standards help determine when models need stronger safeguards. The update includes guidelines for assessing models based on Capability Thresholds, focusing on areas like chemical, biological, radiological, and nuclear (CBRN) risks. If a model reaches a higher capability, additional safeguards (ASL-3 or higher) are required to mitigate risks.💻 Awesome AI: Tools for WorkMU - Perplexity FinancePerplexity revealed a preview of its upcoming financial analysis platform, "Perplexity for Finance," designed to provide users with real-time stock quotes, historical earnings reports, industry comparisons, and detailed financial data, all through an intuitive and user-friendly interface. A video shared by the company demonstrated how users can easily access and visualize financial data, such as Nvidia’s earnings history and stock price trends.Adobe Launches Firefly Video Model and Enhances Image, Vector and Design ModelsAdobe has launched its new Firefly Video Model (beta), expanding its AI-powered creative tools to video content, marking the first such model designed for safe commercial use. In addition to this, Adobe enhanced its Firefly Image, Vector, and Design models, offering faster image generation and new capabilities integrated into apps like Photoshop, Illustrator, and Premiere Pro. These tools allow users to generate videos and images from text prompts, extend video clips, and more.You can now search with Google Lens in the Chromebook Gallery appChromebooks now have Google Lens integrated into their Gallery app, allowing users to quickly search for information related to any image or document they view. By opening a file in the Gallery app, users can select a section of the image or document and use Google Lens to perform a search. This new feature acts as a shortcut to Chrome’s existing Google Lens tool, saving users time by streamlining the process of capturing and searching with images.GradioGradio 5.0 is a user-friendly tool that makes it easy to create web-based interfaces for machine learning models. With just a few lines of Python code, developers can build interactive apps that allow anyone to test and interact with their models. Gradio can be embedded in notebooks or shared via public links, and it supports integration with various Python libraries. It also offers permanent hosting on Hugging Face Spaces. Gradio is widely used by companies like Google and Amazon, as well as researchers and developers for quick and efficient model demos.Strella - AI-Powered Customer ResearchStrella is an AI-powered tool designed to streamline customer research by automating interviews, recruitment, and analysis. It helps researchers quickly create custom interview guides, conduct AI-moderated interviews, and analyze insights in real-time, making decisions faster and more informed. Strella handles logistics like scheduling and incentives, allowing researchers to focus on higher-impact tasks. It supports global participants, runs interviews 24/7, and offers features like dynamic follow-up questions, screen recording, and multilingual capabilities. The platform boosts efficiency, speeds up research timelines, and enhances research output.🔛 Masterclass: AI/LLM TutorialsAria: First Open Multimodal Native MOE ModelRhymes AI introduced Aria, an open-source multimodal native Mixture-of-Experts (MoE) model, designed to process various input types—text, images, video, and code—simultaneously. It excels in tasks involving complex multimodal data and offers a long context window of up to 64,000 tokens, making it highly efficient for tasks like video captioning or document understanding. Aria outperforms other open and some proprietary models like GPT-4o and Gemini-1.5, demonstrating competitive performance with fewer activated parameters.Understanding the Limitations of Mathematical Reasoning in Large Language ModelsRecent advancements in Large Language Models (LLMs) have led to interest in their ability to handle formal reasoning, especially in math. The widely used GSM8K benchmark tests models on grade-school-level math questions, but it's unclear if improvements in scores reflect true advances in reasoning. To address this, researchers created GSM-Symbolic, a new benchmark with symbolic templates that generate more varied and controlled questions. They found that LLMs struggle when numerical values or clauses are slightly changed in questions, suggesting that current models rely on patterns from training data rather than genuine logical reasoning.No Priors Ep. 80 | With Andrej Karpathy from OpenAI and TeslaIn this episode of the *No Priors* podcast, Andrej Karpathy, a key figure in AI and former leader of Tesla Autopilot, discusses the evolution of self-driving cars, comparing Tesla's approach with Waymo's. He also touches on Tesla's Optimus humanoid robot and the challenges in robotics and AI today. Karpathy explores the potential for integrating AI with human cognition and shares insights on AI-driven education and its impact on future learning. He also talks about his new venture, Eureka Labs, and offers advice on what young people should study to prepare for a future shaped by AI advancements.Multi document agentic RAG: A walkthroughThis blog post by Vipul Maheshwari explains the concept of Agentic Retrieval-Augmented Generation (RAG), an advanced version of traditional RAG systems. Unlike basic RAG models that retrieve relevant data for language models to generate responses, Agentic RAG introduces decision-making autonomy. It can analyze a task, break it into smaller steps, and take actions without constant supervision. The post walks through how to build an Agentic RAG system for car diagnostics using LanceDB, LlamaIndex, and vector databases.LLMs From Scratch Ch05/08:_Memory efficient_weight_loading🚀 HackHub: AI ToolsLlama-3.1-Nemotron-70B - a nvidia CollectionNVIDIA has released several advanced AI models on Hugging Face, including the Llama-3.1-Nemotron series, which offers state-of-the-art (SOTA) performance on benchmarks like Arena Hard and RewardBench. These models, like Llama-3.1-Nemotron-70B, focus on text generation and include variations tailored for instruction-following (Instruct) and reward-based tasks. NVIDIA's collection also includes models for specialized tasks such as speech synthesis (Parakeet) and reinforcement learning with human feedback (RLHF).mlc-ai/mlc-llm: Universal LLM Deployment Engine with ML CompilationMLC LLM is an open-source project that provides a universal deployment engine for large language models (LLMs) with machine learning compilation (MLC). Its goal is to enable developers to optimize and deploy AI models across various platforms, such as AMD, NVIDIA, and Apple GPUs, and even on mobile devices like iOS and Android.Surya: OCR, layout analysis, reading order, table recognition in 90+ languagesSurya is an open-source document OCR (Optical Character Recognition) toolkit that supports over 90 languages. It offers advanced features like text detection, layout analysis (including tables, images, and headers), reading order detection, and table recognition, working efficiently across a wide range of documents, from scientific papers to forms.TEN-Agent: world’s first real-time multimodal agent integrated with the OpenAI Realtime APITEN Agent is a real-time multimodal AI agent that integrates the OpenAI Realtime API and RTC for ultra-low latency performance. The agent can be extended with edge-cloud integrations, real-time state management, and drag-and-drop tools for complex applications.Cinnamon/kotaemon: An open-source RAG-based tool for chatting with your documentsKotaemon is an open-source tool designed for interacting with documents through a Question Answering (QA) system built on Retrieval-Augmented Generation (RAG) technology. It supports various large language models (LLMs), both local and via APIs (like OpenAI), and allows users to ask questions about their documents.📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

OpenAI says Microsoft Isn’t Moving Fast Enough to Supply ServersAI_Distilled #71: Godfather of AI wins Nobel PrizeNotion for StartupsThousands of startups use Notion as a connected workspace to create and share docs, take notes, manage projects, and organize knowledge—all in one place. We’re offering 6 months of new Plus plans, including unlimited Notion AI so you can try it all for free!Redemption InstructionsTo redeem the Notion for Startups offer:Submit an application using our custom link: https://ntn.so/packt and select Packt on the partner list.Include our partner key, STARTUP4110P19151.Free 6 month Notion Plus Access! Use our Packt Partner KeyWelcome to AI_Distilled. Today, we’ll talk about:Techwave:Godfather of AI wins Nobel PrizeOpenAI says Microsoft Isn’t Moving Fast Enough to Supply ServersCollege students used Meta’s smart glasses to dox people in real timeMeta Movie GenCanvas is a new way to write and code with ChatGPTAwesome AI:Kvistly: AI-Quizzes for Better Trainings and Team BuildingsAdobe Content Authenticity Web AppTheneo: AI-Powered API Docs: Automate, Collaborate, InnovateSelfletter: Break complex goals into small tasks with AICostGPT AI: Generate software cost & time estimatesMasterclass:Andrej Karpathy reveals LLM outputs are unexpectedly similarPrompting technique boosting Claude 3.5 Sonnetto match O1 models on complex reasoningAnthropicintroduces automatic Artifact error fixingin ClaudeGPT-4achieves 88% diagnostic accuracy, outperforming doctors by 15% in clinical reasoning testNVIDIA droppedmultimodal language model that rivals GPT-4and Llama-3.1 405B.HackHubJailbreak_llms: A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).roboflow/supervision: We write your reusable computer vision toolsManim: A community-maintained Python framework for creating mathematical animationsVoiceRestore: Open-source model restores audio quality, fixing noise and distortions.Auto_Jobs_Applier_AIHawk: Tool that automates the jobs application process. Utilizing artificial intelligence, it enables users to apply for multiple job offers in an automated and personalized way.Packt Conference Alert:Stay ahead in AI! Join 3 days of LIVE sessions with 20+ top experts and unlock the full potential of Generative AI at our upcoming conference. Don't miss out- Claim your spot today!Cheers!Shreyans SinghEditor-in-Chief, PacktSecure and Simplify: Salesforce Data Protection with RubrikWhat if your Salesforce data was suddenly lost or corrupted? Human errors, accidental deletions, misconfigurations can all contribute to data loss. 1 of 2 SaaS users that did not implement SaaS data protection experienced data loss or corruption in the last 12 months.Check out this exclusive webinar where we reveal Rubrik's new integration with Salesforce, designed to tackle this exact issue.Watch On-Demand⚡ TechWave: AI/GPT News & AnalysisGodfather of AI' wins Nobel PrizeGeoffrey Hinton, often called the "Godfather of AI," and John Hopfield won the 2024 Nobel Prize in Physics for their groundbreaking work on artificial intelligence. Hinton's research on neural networks, which mimic how the human brain learns, paved the way for AI systems like ChatGPT, while Hopfield's work involved creating a network that can recall patterns similarly to human memory.OpenAI Leaders Say Microsoft Isn’t Moving Fast Enough to Supply ServersOpenAI is expanding beyond Microsoft for its cloud computing needs, seeking additional support from Oracle due to concerns that Microsoft can't provide servers fast enough to keep up with its growing AI demands. CEO Sam Altman and CFO Sarah Friar revealed that OpenAI is negotiating with Oracle to lease a massive data center in Texas, which could house large numbers of AI chips by 2026. OpenAI still relies on Microsoft's Azure, but also plans to develop its own AI chips to reduce costs.College students used Meta’s smart glasses to dox people in real timeTwo Harvard students demonstrated how Meta’s smart glasses can be used to dox people in real time by combining facial recognition technology with public databases. Their project, called I-XRAY, used the glasses to livestream video, which was analyzed by AI to identify faces and retrieve personal information like names, addresses, and phone numbers from online databases. This demo shows how easily existing tech can be misused, raising privacy concerns. While the students did not intend to release the tool, their goal was to highlight that this capability exists now, not in some distant future.Meta Movie GenMeta's "Movie Gen" is an advanced AI tool that allows users to generate and edit custom videos, sound effects, and personalized content using simple text inputs. With this AI, users can create high-definition videos, modify existing footage, and even transform images into personalized animations. The technology supports creating both visuals and soundtracks, enabling content creators to produce immersive media experiences easily.Canvas is a new way to write and code with ChatGPTCanvas is a new feature for ChatGPT designed to enhance collaboration on writing and coding projects. It opens in a separate window, allowing users to interact with ChatGPT beyond just chat, providing a more flexible space to edit, refine, and develop ideas. Users can highlight sections for feedback, receive inline suggestions, and perform quick actions like adjusting text length or debugging code.💻 Awesome AI: Tools for WorkKvistly:AI-Quizzes for Better Trainings and Team BuildingsAdobe Content Authenticity Web AppAdobe has introduced a free web app called Adobe Content Authenticity, allowing creators to protect their work and ensure proper attribution through "Content Credentials." These credentials act like a digital label, offering metadata about the content’s creation and edits. The app also lets creators signal if they don't want their work used to train AI models.Theneo: AI-Powered API Docs: Automate, Collaborate, InnovateTheneo has launched an AI-powered platform that enables companies to quickly generate visually appealing and easy-to-maintain API documentation. With a single upload, users can create interactive, branded API docs that drive conversions and streamline collaboration. The platform supports all API types and provides features like automated changelogs, AI-powered search, and real-time editing.Selfletter: Break complex goals into small tasks with AISelfletter is an AI-powered tool that helps users break down complex goals into simple, manageable daily tasks. You provide your goal, start and end dates, and the AI generates a personalized calendar with tasks that can be exported to your preferred calendar app or as a PDF.CostGPT AI: Generate software cost & time estimatesCostGPT is an AI-powered tool that helps you quickly estimate the cost, time, and key features of a software project. By inputting just an idea, it generates a detailed project estimate, including user stories, sitemaps, dependencies, and milestones, all within minutes. It's designed to simplify project planning and budgeting for developers and businesses, offering both free and premium plans for different levels of detail. CostGPT is especially helpful for those who want a clear overview of their project's scope before starting development.🔛 Masterclass: AI/LLM TutorialsAndrej Karpathy reveals LLM outputs are unexpectedly similarThe thread discusses why many large language models (LLMs) sound similar in their responses, often using structured lists, exploring multiple angles, and offering help. This uniformity may be due to shared datasets used for training, with some suggesting that many models are fine-tuned on data generated by ChatGPT or similar systems. Some users propose that models are converging on a "correct" way to respond, leading to similar styles, while others point to issues like reliance on subcontractors and data overlap. There's also talk about how to make LLMs more diverse in their responses by using different training techniques or datasets.Prompting technique boosting Claude 3.5 Sonnetto match O1 models on complex reasoningThe article explores how to make open-source language models (LLMs) smarter, with a focus on improving their reasoning abilities to outperform state-of-the-art (SOTA) models like OpenAI’s O1. The author, Harish SG, experimented with a new prompting method that combines Dynamic Chain of Thought (CoT), reflection, and verbal reinforcement to help LLMs solve complex problems. This approach mimics human-like reasoning, breaking down steps, reflecting on progress, and adjusting strategies. Benchmark tests showed promising results, with models like Claude Sonnet 3.5 performing better on reasoning tasks than other SOTA models.Anthropicintroduces automatic Artifact error fixingin ClaudeThe "Try fixing with Claude" feature helps users quickly address errors that occur while generating Artifacts. When an error is detected, users can click a button to automatically send the error details to Claude, who will try to diagnose and suggest a fix. However, while Claude can assist in troubleshooting, its solutions are not always guaranteed to work, and users should review the suggestions to ensure they meet their needs. Some errors may still require further troubleshooting or human intervention.GPT-4achieves 88% diagnostic accuracy, outperforming doctors by 15% in clinical reasoning testThis study aimed to evaluate whether using GPT-4, a large language model (LLM), improves physicians' diagnostic reasoning compared to traditional resources. In a randomized trial, physicians were tasked with diagnosing clinical cases either using GPT-4 and conventional resources or just conventional resources. The results showed no significant improvement in overall diagnostic accuracy with GPT-4, but GPT-4 did help physicians work slightly faster. Notably, GPT-4 alone outperformed the physicians in some diagnostic tasks, suggesting that AI could enhance medical decision-making with further integration.NVIDIA droppedmultimodal language model that rivals GPT-4and Llama-3.1 405B.NVIDIA's NVLM-D-72B is a state-of-the-art multimodal large language model (LLM) that excels in both vision-language and text-only tasks. It uses a decoder-only architecture and has 79.4 billion parameters. This open-source model rivals leading proprietary models and has been fine-tuned for various benchmarks like vision-based tasks (e.g., OCRBench, TextVQA) and text-based benchmarks (e.g., MMLU, GSM8K).🚀 HackHub: AI ToolsJailbreak_llms: A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).JailbreakHub, contains over 15,000 prompts collected from Reddit, Discord, websites, and open-source datasets between December 2022 and 2023, including 1,405 jailbreak prompts. It analyzes how adversarial users bypass safeguards in large language models (LLMs) to make them produce harmful or restricted content.roboflow/supervision: We write your reusable computer vision toolsThe Supervision repository by Roboflow provides reusable computer vision tools for tasks like loading datasets, visualizing detections, and performing object counting. It supports a wide range of models (including YOLO and Ultralytics) and allows users to seamlessly integrate various computer vision models for detection, classification, and segmentation.Manim: A community-maintained Python framework for creating mathematical animationsManim is a Python framework designed to create mathematical animations programmatically. Manim supports animations through simple code, providing an easy way to transform shapes, visualize equations, or illustrate math concepts.VoiceRestore: Open-source model restores audio quality, fixing noise and distortions.Auto_Jobs_Applier_AIHawk:Tool that automates the jobs application process. Utilizing artificial intelligence, it enables users to apply for multiple job offers in an automated and personalized way.📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

98% cost reduction for GPT 4o miniAI_Distilled #70: OpenAI raises $6.6 billion funding, valuation at $157 billionThis 3 hour power packed workshop that will teach you 25+ AI Tools, make you a master of prompting & talk about hacks, strategies & secrets that only the top 1% know of.By the way, here’s sneak peek into what’s inside the workshop:-Making money using AI-The latest AI developments, like GPT o1-Creating an AI clone of yourself, that functions exactly like YOU-10 BRAND new AI tools to automate your work & cut work time by 50%Best thing? It's usually $399, but it's absolutely free for the first 100 readers.Save your seat now (Offer valid for 24 hours only)Welcome to AI_Distilled. Before we get to the newsletter, I have one quick message: Next week, we are hosting an AMA with Supreet Kaur: Navigating LLMs & AI Innovation. You should check it out.Today, we’ll talk about:Techwave:[Sponsored] Free 3 hour AI and ChatGPT workshop for professionalsOpenAI raises $6.6 billion funding, valuation at $157 billionOpenAI makes4 major announcements at DevDay, 98% cost reduction for GPT-4 to 4o miniMicrosoftlaunches redesigned Copilotwith Voice, Vision, and Chain of Thought capabilities.Metaunveils open-source Llama StackNotebookLM now summarizes YouTube videos. Andrej Karpathy'sNotebookLM tweet goes viralAwesome AI:Pika 1.5Graphite Code ReviewerHelicone:LLM-Observability for DevelopersMagic Patterns: Prototype your product ideas with AIRows: The new way to spreadsheetMasterclass:Anthropic reduces the error rate ofRAGs by 67% using this simple methodLangchain shows offnew tool: controllable Agentopen-source NotebookLM alternativeusing Llama 3.1 405BAndrew Ngannounces course on Meta's Llama 3.2, launching October 9Using task-specific models from AI21 Labs on AWSHackHub:o1-engineer: AI-powered code generation and editingCrawl4AI: LLM Friendly Web Crawler & ScraperLlama Stack:Model components of the Llama Stack APIsexo: Run your own AI cluster at home with everyday devicesTTS: a deep learning toolkit for Text-to-SpeechCheers!Shreyans SinghEditor-in-Chief, PacktLast Chance! For the next 48 hours only, save $150 on your full event pass!Use code LASTCHANCE40 at checkoutImagine being part of 10+ Power Talks, 12+ Hands-On Workshops, and 3 Interactive Roundtables—while networking with 30+ top industry leaders and hundreds of tech professionals from across the globe. This is your opportunity to dive into cutting-edge AI solutions at the Generative AI in Action 2024 Conference.It’s all happening November 11-13 (Virtual)—don’t miss your chance!BOOK YOUR SEAT NOW (before prices go up!)BOOK NOW AT $399.99 $239.99⚡ TechWave: AI/GPT News & AnalysisOpenAI raises $6.6 billion funding, valuation at $157 billionOpenAI has raised $6.6 billion in funding from investors like Microsoft, Nvidia, Thrive Capital, and Khosla Ventures, valuing the company at $157 billion. This significant investment comes as OpenAI restructures and undergoes leadership changes, including the departure of its CTO. Despite losses, OpenAI is projected to make $3.6 billion in revenue this year, with expectations for a major revenue increase next year. Investors are betting on the company's future growth, especially as it continues to pursue advanced AI goals like artificial general intelligence (AGI).OpenAI makes4 major announcements at DevDay, 98% cost reduction for GPT-4 to 4o miniAt OpenAI's 2024 DevDay, several key developer-focused features and tools were announced. One major update was prompt caching, offering a 50% discount on repeated prompts over 1,024 tokens, which lowers costs for developers automatically. Another significant launch was the WebSocket Realtime API, enabling real-time audio input/output for GPT-4 models, allowing developers to stream audio, text, and tool functions with low latency. OpenAI also simplified model distillation, making fine-tuning easier by allowing smaller models to learn from larger ones. Additionally, OpenAI extended free fine-tuning offers for GPT-4 models, and hinted at future support for image input through the Realtime API.Microsoftlaunches redesigned Copilotwith Voice, Vision, and Chain of Thought capabilities.Microsoft's October 2024 announcement highlights the evolution of Copilot. The updated Copilot integrates voice and vision capabilities, making interactions feel more natural and personalized. It offers practical help like summarizing news, taking notes at appointments, and assisting with life’s complexities. The tool aims to reduce information overload and provide a supportive, adaptive experience.Metaunveils open-source Llama StackMeta has introduced Llama Stack distributions to simplify the development of generative AI applications using its Llama large language models (LLMs). These distributions bundle multiple Llama Stack API providers into a single endpoint, allowing developers to work seamlessly with Llama models across different environments, including on-premises, cloud, and mobile devices. The Llama Stack provides essential building blocks for the entire AI development process, from model training to running AI agents.NotebookLM now summarizes YouTube videos. Andrej Karpathy'sNotebookLM tweet goes viralUsers can now upload videos or audio recordings, allowing NotebookLM to summarize key concepts and generate insights from these sources. It can transcribe and analyze audio or video content, creating helpful study guides or summaries. Additionally, users can now share Audio Overviews with a public link, making it easier to distribute content summaries.💻 Awesome AI: Tools for WorkPika 1.5Create stunning, cinematic video clips with advanced visual effects and longer scenes. It introduces new features like "Unreal Pikaffects," enabling users to manipulate objects in ways that go beyond real-life capture, such as exploding or inflating them. It also offers cinematic camera moves like Bullet Time and Crane Down, along with lifelike character actions like running or skateboarding.Graphite Code ReviewerGraphite Reviewer is an AI-powered tool that provides immediate, actionable feedback on pull requests, helping teams catch bugs, logical errors, and enforce best practices before human review. It integrates seamlessly with your codebase, offering code-aware suggestions without storing or using your team's data for training.Helicone / LLM-Observability for DevelopersHelicone is an open-source platform designed for developers to log, monitor, and debug large language models (LLMs). It provides tools for instant analytics, prompt management, and cost tracking, allowing users to filter, segment, and analyze their requests efficiently.Magic Patterns: Prototype your product ideas with AIMagic Patterns is an AI-powered design tool that allows users to quickly prototype product ideas by generating user interfaces (UIs) from prompts or images. It features an AI-native editor for iterating on components and designs, which can be exported to React or Figma.Rows — The new way to spreadsheetRows features an AI-powered assistant that helps users with tasks like data entry, classification, and translation, making it easier to work with complex information.🔛 Masterclass: AI/LLM TutorialsAnthropic reduces the error rate ofRAGs by 67% using this simple methodContextual Retrieval is an enhancement of traditional Retrieval-Augmented Generation (RAG) used in AI models to improve the accuracy of retrieving relevant information from large knowledge bases. Standard RAG uses embeddings to break down a knowledge base into chunks and retrieves relevant information based on semantic similarity. However, this method can lose important context, leading to retrieval errors. Contextual Retrieval addresses this by adding chunk-specific context before generating embeddings and BM25 (a ranking method based on exact matches), reducing retrieval errors by up to 67% when combined with reranking.Langchain shows offnew tool: controllable AgentThe Controllable-RAG-Agent is a sophisticated AI tool designed to answer complex questions using Retrieval-Augmented Generation (RAG) techniques. It employs a structured graph for reasoning and breaks down queries into smaller, manageable tasks. The agent ensures that answers are based solely on the provided data, preventing hallucinations, or incorrect content. It features multi-step reasoning, adapts its plan as new information is processed, and evaluates performance using metrics like answer correctness and relevance.open-source NotebookLM alternativeusing Llama 3.1 405BConvert your PDFs into podcasts with open-source AI models (Llama 3.1 405B, MeloTTS, Bark).Note: Only the text content of the PDFs will be processed. Images and tables are not included. The total content should be no more than 100,000 characters due to the context length of Llama 3.1 405B.Andrew Ngannounces course on Meta's Llama 3.2, launching October 9The course "Introducing Llama 3.2," offered by Amit Sangani, Senior Director of AI Partner Engineering at Meta, focuses on building multimodal applications using the Llama 3.2 family of models, which range from 1B to 405B parameters. It covers essential concepts from tokenization to tool-calling, as well as Llama's new stack, which simplifies application development.Using task-specific models from AI21 Labs on AWSIn this blog post, you'll learn how to use AI21 Labs' Task-Specific Models (TSMs) on AWS to streamline tasks like summarization, paraphrasing, and answering questions based on specific contexts. By subscribing to AI21 Labs in AWS Marketplace, setting up a SageMaker domain, and accessing these models through SageMaker JumpStart, you can easily deploy and customize them for your business. Unlike general foundation models, these TSMs are pre-trained for specific commercial tasks, offering greater accuracy and cost-efficiency with less need for complex prompt engineering.🚀 HackHub: AI Toolso1-engineer: AI-powered code generation and editingThe `o1-engineer` tool is a command-line utility that helps developers manage and interact with their projects more efficiently. It leverages OpenAI's API to automate tasks like code generation, file and folder management, project planning, and code review. By using commands like `/add`, `/edit`, and `/planning`, users can modify project structures, plan tasks, and streamline workflows directly from the terminal.Crawl4AI: LLM Friendly Web Crawler & ScraperCrawl4AI is an open-source, asynchronous web crawler designed to efficiently extract data for large language models (LLMs) and AI applications. It supports features like crawling multiple URLs simultaneously, extracting media and links, executing custom JavaScript, and managing sessions for dynamic web content. The tool allows for structured data extraction using CSS selectors or JSON strategies and offers advanced techniques for clustering and chunking content.Llama Stack:Model components of the Llama Stack APIsThe Llama Stack provides a set of APIs that cover the entire AI development lifecycle, including model training, inference, safety, memory management, and evaluation. Developers can mix and match local or cloud-based providers to implement these APIs, making it flexible for different use cases.exo: Run your own AI cluster at home with everyday devicesExo allows you to run AI models across multiple devices, like phones, laptops, or Raspberry Pis, forming a distributed AI cluster. It automatically discovers devices and splits model computations across them based on their resources. Unlike traditional systems with a master-worker architecture, Exo uses peer-to-peer connections, allowing all devices to contribute equally.TTS: a deep learning toolkit for Text-to-SpeechCoqui TTS is a deep learning toolkit for advanced text-to-speech (TTS) generation, designed for research and production use. It supports over 1,100 languages with pre-trained models and offers tools for training new models and fine-tuning existing ones. Coqui TTS includes various TTS models like Tacotron and Glow-TTS, speaker encoders for multi-speaker synthesis, and vocoders like MelGAN for high-quality audio output.📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

OpenAI to become for-profit companyAI_Distilled #69: OpenAI CTO resignsGrow, Make a Difference, and Win!Participate in the Latest Developer Nation Survey!TAKE THE SURVEYWelcome to AI_Distilled. Today, we’ll talk about:Techwave:OpenAI CTO resignsOpenAI to become for-profit companyOpenAI rolls out Advanced Voice ModeSuperintelligence may be here sooner than expected- Sam AltmanEA Unveils Text-to-Game AIAwesome AI:Requstory: convert project ideas into actionable user stories and process maps.Adobe GenStudio: create, manage, and optimize on-brand contentLetta: enhances LLMs by adding memory capabilitiesScenery: AI-powered video editing for teamsKLING AI: Next-Generation AI Creative StudioMasterclass:Vector Embeddings with Cohere and Hugging FaceBuild a multimodal social media content generator using Amazon BedrockWorking with Embeddings: Closed versus Open SourceLinguistic Bias in ChatGPTUpdated production-ready Gemini models, reduced 1.5 Pro pricing, increased rate limits, and moreHackHub:OpenHands: Code Less, Make Moreaudiocraft: library for audio processing and generation with deep learningMidJourney-Styles-and-Keywords-Referencejepa: PyTorch code and models for V-JEPA self-supervised learning from videochat-with-mlx: An all-in-one LLMs Chat UI for Apple Silicon Mac using MLX Framework💡Recommended Reading: LLM Engineer's HandbookCheers!Shreyans SinghEditor-in-Chief, Packt3 Days. 25+ AI Experts. 30+ Sessions.On November 11, join Vin Vashishta, Denis Rothman, John Thompson, Andreas Welsch, and over 20 AI leaders revolutionizing GenAI across industries. From GenAI tools and AI Agents to Small Language Models and LLM fine-tuning, you’ll dive deep into cutting-edge AI strategies and technologies at Packt's Generative AI In Action conference.Don't delay—secure your spot at the early bird rate before prices increase permanently next week!BOOK NOW⚡ TechWave: AI/GPT News & AnalysisOpenAI CTO resignsMira Murati, the Chief Technology Officer of OpenAI, announced her resignation to pursue personal exploration after being with the company for over six years. Murati played a key role in OpenAI's rise, including leading the organization temporarily during a leadership crisis involving CEO Sam Altman. Her departure follows a series of leadership changes at OpenAI, including the exits of other top executives.OpenAI to become for-profit companyOpenAI is planning to restructure into a for-profit benefit corporation, removing control from its non-profit board to make the company more attractive to investors. The non-profit will still exist and hold a minority stake in the for-profit entity. CEO Sam Altman, who has never had equity in OpenAI, will receive equity in the new structure, which could value the company at $150 billion. The move aims to lift investment return caps and make OpenAI more like a typical startup, though it raises concerns about whether the company will maintain its focus on AI safety.OpenAI rolls out Advanced Voice ModeOpenAI has introduced Advanced Voice Mode (AVM) to more ChatGPT users, specifically those in the Plus and Teams tiers, with Enterprise and Edu customers gaining access soon. The new feature enhances ChatGPT's voice interactions, making it more natural to speak with, and includes a redesigned look represented by a blue animated sphere. Users can now choose from five new nature-inspired voices, adding to the existing options.Superintelligence may be here sooner than expected- Sam AltmanOpenAI CEO Sam Altman predicts that superintelligent AI could emerge within the next decade, potentially in "a few thousand days." In a blog post titled "The Intelligence Age," Altman outlines a future where AI accelerates human progress and prosperity, with AI assistants transforming various industries like healthcare and education. He credits deep learning as a key driver of this progress but acknowledges challenges, including labor market disruptions. Altman remains optimistic about AI’s potential to improve lives, urging careful navigation of its risks while aiming for widespread benefits from AI technology.EA Unveils Text-to-Game AIElectronic Arts (EA) unveiled its "Imagination to Creation" vision, allowing players to create video game worlds using simple natural language prompts without coding skills. During a demo, players transformed basic objects into complex, multi-level game environments in real time, using EA's vast library of 3D assets and data. This AI-driven system empowers users to easily generate unique characters, obstacles, and gameplay mechanics.💻 Awesome AI: Tools for WorkRequstory: convert project ideas into actionable user stories and process maps.By simply describing project requirements in natural language, users can generate detailed user stories and visual process maps automatically. The platform allows for easy collaboration, editing, and sharing of these AI-generated documents, streamlining project planning and execution.Adobe GenStudio: create, manage, and optimize on-brand contentAdobe GenStudio is a generative AI-powered tool designed to help marketing teams create, manage, and optimize on-brand content across multiple channels quickly. It provides marketers with AI-driven tools to generate assets, create content variations, and measure performance in real-time, ensuring all content aligns with brand guidelines.Letta: enhances LLMs by adding memory capabilitiesBuilt from research behind MemGPT, Letta helps developers create intelligent agents that can remember and reason over time. It offers tools for building, deploying, and managing AI agents at scale, focusing on memory management and providing a transparent, customizable environment.Scenery video editor | AI-powered video editing for teamsScenery allows users to quickly create and fine-tune videos through a cloud-based system. It simplifies the video editing process with AI-driven tools, such as automatic subject detection, filler word removal, and subtitle generation in over 20 languages. Scenery also enables users to create viral social media clips from longer videos with just a click.KLING AI: Next-Generation AI Creative Studio🔛 Masterclass: AI/LLM TutorialsVector Embeddings with Cohere and Hugging FaceVector embeddings are numerical representations of complex data, like text or images, which help AI models understand and process this data more easily. These embeddings convert input data into dense vectors, where similar data points are close together in a high-dimensional space. This allows AI systems to measure similarities between data points, perform searches, or generate content. Platforms like Cohere and Hugging Face offer pre-trained models that generate embeddings for tasks such as classification, search, and content generation.Build a multimodal social media content generator using Amazon BedrockA multimodal social media content generator using Amazon Bedrock allows brands and content creators to quickly produce visually and textually rich social media posts. The process involves uploading a product image, providing a natural language prompt, and using Amazon Titan Image Generator to create enhanced images. The text for the post is generated using Claude 3, ensuring brand consistency. The system retrieves similar historical posts using Amazon Titan Multimodal Embeddings stored in OpenSearch Serverless, offering suggestions to refine the contentWorking with Embeddings: Closed versus Open SourceEmbeddings are essential in natural language processing (NLP) for tasks like semantic search in retrieval systems. This article explores how different embedding models, both open-source and closed-source, perform in semantic search applications. It discusses techniques like clustering and re-ranking to enhance search results, while comparing the performance, size, and cost of up to nine top models. This comparison helps understand how model size affects efficiency in search tasks, especially when balancing cost and accuracy in large-scale retrieval systems.Linguistic Bias in ChatGPTChatGPT exhibits bias against non-"standard" varieties of English, such as African-American, Indian, and Nigerian English, reinforcing linguistic discrimination. A study comparing responses to different English varieties found that ChatGPT performs worse in understanding, warmth, and naturalness for non-standard varieties, often producing condescending or stereotypical content. While the model imitates some non-standard varieties, it defaults to Standard American English, frustrating non-American users. Even improvements in newer versions like GPT-4 do not fully resolve these issues and, in some cases, worsen stereotyping, highlighting the need for addressing bias in AI.Updated production-ready Gemini models, reduced 1.5 Pro pricing, increased rate limits, and moreGoogle has released updated Gemini models, Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002, with improved performance, lower costs, and faster outputs. These models offer enhanced capabilities for tasks like processing large PDFs, complex math problems, and video analysis. The updates include price reductions of over 50%, higher rate limits, faster output speeds, and reduced latency. The models are designed for general performance across text, code, and multimodal tasks and are available via Google AI Studio and Vertex AI for larger organizations. These updates aim to make the models more efficient and accessible for developers.🚀 HackHub: AI ToolsOpenHands: Code Less, Make MoreOpenHands (formerly OpenDevin) is an AI-powered platform designed for software development, enabling agents to perform tasks that human developers usually handle, like modifying code, running commands, browsing the web, and even using code snippets from StackOverflow.audiocraft: library for audio processing and generation with deep learningAudioCraft is a PyTorch-based library developed by Facebook for deep learning research in audio generation. It includes models like MusicGen for controllable text-to-music generation, AudioGen for text-to-sound generation, and EnCodec for high-fidelity audio compression.MidJourney-Styles-and-Keywords-ReferenceA reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more.jepa: PyTorch code and models for V-JEPA self-supervised learning from videoInstead of relying on labeled data, it predicts features from video frames, learning in a completely unsupervised manner. It processes video content to capture spatio-temporal patterns and trains a lightweight model to handle various downstream video and image tasks without adapting the core model.chat-with-mlx: An all-in-one LLMs Chat UI for Apple Silicon Mac using MLX Framework"Chat with MLX" is an all-in-one chat playground designed for Apple Silicon Macs, utilizing the Apple MLX framework. It allows users to securely chat with various AI models and integrate open-source models from platforms like HuggingFace.📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

Master the art of engineering Large Language Models from concept to productionAI_Distilled: Special IssueLLM Engineer's Handbook: Master the art of engineering LLMs from concept to productionCHECK IT OUTWelcome to a special edition of AI Distilled!In an era where AI is reshaping industries and redefining possibilities, staying ahead of the curve isn't just an advantage—it's a necessity.Whether you're a seasoned data scientist, a cybersecurity expert, or a curious developer looking to harness the power of Large Language Models (LLMs), this curated collection is designed to empower you with the latest insights and practical knowledge.📚 Inside This Special Issue:Master the art of prompt engineering and unlock AI's creative potentialDive deep into NLP, from foundational concepts to cutting-edge LLMsLeverage ChatGPT for enhanced cybersecurity measuresBuild powerful, data-driven applications using LlamaIndex and RAG techniquesGain insights from Supreet Kaur's expertise on choosing and implementing open-source LLMs🎙️ Don't Miss Out: Join Supreet Kaur's Free AMA Session!Whether you're looking to enhance your AI skills, stay ahead in your field, or explore new horizons in technology, this collection has something for everyone. Let's embark on this AI journey together and shape the future of technology!Happy learning,Shreyans SinghEditor in ChiefExpert Insight: Supreet Kaur"Navigating the LLM Landscape: Key Insights from Supreet Kaur's '100 Days of LLMs'"Supreet Kaur, a LinkedIn Top Voice 2024 and Data & AI Solutions Architect, has been sharing valuable insights on Large Language Models (LLMs) in her "100 Days of LLMs" series. Here are the key takeaways for AI professionals:Selecting the Appropriate ModelWhen deciding between small and large language models, Kaur emphasizes considering:📌Computational resources📌Use case complexity📌Real-time processing needsFor targeted applications with cost constraints, she highlights Microsoft's Phi-3 as a notable small model option.Leveraging Retrieval Augmented Generation (RAG)Kaur introduces RAG as a game-changing technique that combines generative AI with real-time information retrieval. This approach is particularly valuable in industries like fintech, where up-to-date information is crucial for decision-making.Rethinking Evaluation MetricsDrawing from her experience in text labeling automation, Kaur advocates for looking beyond conventional metrics. She suggests incorporating feedback from subject matter experts who will be using the model in practice, providing a more holistic evaluation.The Potential of AI AgentsKaur describes AI agents as autonomous software entities that can perform tasks on behalf of users or other programs. These "virtual interns" represent a promising frontier for enhancing productivity and tackling complex challenges across various domains.Effective LLM Evaluation StrategiesKaur outlines three key approaches for evaluating LLMs:📌Performance Metrics: Focusing on relevance, coherence, and groundedness📌Benchmark Testing: Comparing model versions under consistent conditions📌User Feedback: Gathering insights on real-world performanceShe also notes that platforms like Microsoft Azure offer tools to streamline this evaluation process.In conclusion, Kaur's advice helps people use AI language models better in real-world situations. She focuses on practical tips and new ideas that can help businesses make the most of this exciting technology.Join Supreet Kaur, LinkedIn Top Voice 2024 and AI Solutions Architect, for an insightful AMA session focused on leveraging open-source Large Language Models (LLMs) in real-world AI projects.FREE RegistrationUnlocking the Secrets of Prompt EngineeringLearn how to use AI writing tools for various tasks, from creating content to developing chatbots.The book covers:1. Basics of prompt engineering2. How to write effective prompts for AI3. Using AI for different types of writing4. Advanced uses like podcast creation and chatbot developmentGet eBook For $35.99 $24.99Mastering NLP from Foundations to LLMsLearn how to work with NLP using Python, focusing on both traditional techniques and modern LLMs like GPT.It covers the mathematical basics such as linear algebra and probability, and then moves on to more advanced topics like text classification, preprocessing, and deep learning models.You will find detailed Python code examples to help you build and implement ML models.Get eBook For $42.99 $29.99ChatGPT for Cybersecurity CookbookThis is a practical guide for leveraging AI, particularly ChatGPT, in cybersecurity.It provides step-by-step recipes to automate tasks like penetration testing, vulnerability assessments, and threat detection using the OpenAI API and Python programming.The book is designed for both beginners and professionals, offering tools to streamline cybersecurity workflows and improve efficiency through AI.Get eBook For $39.99 $27.98Building Data-Driven Applications with LlamaIndexLearn how to enhance their LLM applications using RAG.It teaches you how to overcome common limitations in LLMs, like memory constraints, prompt size, and inaccurate responses.You'll learn to build, customize, and deploy LlamaIndex projects, which allow better data ingestion, indexing, and querying.Get eBook For $35.99 $24.99More Titles for You$21.99 $31.99$24.99 $35.99$15.99 $23.99📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

GenAI for YouTubers- Google DeepMindAI_Distilled #68: Slack introduces AI AgentsUse AI to 10X your productivity & efficiency at work with AI (free bonus) Still struggling to achieve work-life balance and manage your time efficiently?Join this 3 hour Intensive Workshop on AI & ChatGPT tools (usually $399) but FREE for first 100 people.Save your free spot here (seats are filling fast!) ⏰Welcome to AI_Distilled. Today, we’ll talk about:Techwave:[Sponsored] Learn AI strategies & hacks that less than 1% people knowSlack introduces AI AgentsMicrosoft 365 Copilot Wave 2: Pages, Python in Excel, and agentsTencent Unveils GameGen-O: AI Model for game developmentOpenAI o1 is oficially smarter than 95%+ of humansIntroducing the Runway API for Gen-3 Alpha TurboAnnouncing Pixtral 12B by Mistral AIAwesome AI:Adobe Firefly Video Model previewReddit ScoutIlluminate by GoogleThunderbit | Personalized Web AI CopilotVerse: Make free digital pagesMasterclass:GenAI for YouTubers- Google DeepMindThe Basics Behind AI Models for Self-Driving CarsWhat is the Chinchilla Scaling Law?Improve RAG performance using Cohere RerankMIT researchers have developed "Co-LLM"HackHub:Upscayl: free and open source AI image upscalerRoop: one-click face swapAnthropic-quickstarts: build deployable applications using the Anthropic APIMulti-GPT: An experimental open-source attempt to make GPT-4 fully autonomousFacebook Audioseal: Localized watermarking for AI-generated speech audios💡Recommended Reading: Unlocking the Secrets of Prompt EngineeringCheers!Shreyans SinghEditor-in-Chief, PacktJoin Roman Lavrik from Deloitte Snyk hosted DevSecCon 2024Snyk is thrilled to announce DevSecCon 2024, Developing AI Trust Oct 8-9, a FREE virtual summit designed for DevOps, developer and security pros of all levels. Join Roman Lavrik from Deloitte, among many others, and learn some presciptive DevSecOps methods for AI-powered development.Save your spot⚡ TechWave: AI/GPT News & AnalysisSlack introduces AI AgentsSalesforce has announced new innovations in Slack that turn AI agents into active teammates, enhancing productivity. New features include a unified work system that integrates Salesforce CRM data with Slack channels, AI-powered huddle notes, automation tools, and tailored templates for various tasks.Microsoft 365 Copilot Wave 2: Pages, Python in Excel, and agentsThis update includes "Copilot Pages," a new collaborative workspace for AI and human interaction, allowing real-time editing and collaboration. Microsoft is also expanding Copilot's capabilities in Excel, now integrating Python for advanced data analysis, and in PowerPoint for more dynamic presentations. Additionally, Copilot in Teams and Outlook improves meeting and email management, while "Copilot Agents" automate business processes.Tencent Unveils GameGen-O: AI Model for game developmentTencent has unveiled GameGen-O, an AI model designed to revolutionize game development by quickly generating vast and detailed open-world environments. This technology can use videos and images from the internet to create complex landscapes, reducing the need for manual data collection trips. GameGen-O aims to streamline the development process, allowing developers to focus on creativity while the AI handles the heavy lifting.OpenAI o1 is oficially smarter than 95%+ of humansOpenAI’s latest AI model, "o1," has demonstrated an IQ level higher than 95% of humans, according to recent testing by TrackingAI, a project that monitors AI intelligence across verbal and vision-based assessments. The project conducts regular evaluations of various AI systems using a range of tests, including Mensa-level IQ assessments. The performance of "o1" showcases the rapid advancements in AI capabilities.Introducing the Runway API for Gen-3 Alpha TurboRunway has launched a new API for its Gen-3 Alpha Turbo model, allowing developers to integrate advanced AI capabilities into various applications and products.Announcing Pixtral 12B by Mistral AIPixtral 12B is a new multimodal AI model that excels in both image and text understanding. It features a 400M parameter vision encoder and a 12B parameter multimodal decoder. Pixtral can handle different image sizes and aspect ratios, and process multiple images within a large context window of 128K tokens.💡Recommended Reading: Unlocking the Secrets of Prompt EngineeringLearn how to integrate AI agents with databases using tools like LangChain and OpenAI.It covers topics such as setting up AI agents, working with CSV and SQL databases, using OpenAI's function calling capabilities, and leveraging the Assistants API.The course is designed for people with intermediate knowledge of Python and SQL, and it uses tools like Streamlit and LangChain.Get it for $35.99 $24.99💻 Awesome AI: Tools for WorkAdobe Firefly Video Model previewAdobe has introduced its new Firefly Video Model, a generative AI tool designed to enhance video editing within Adobe's software like Premiere Pro. It enables users to generate videos using text prompts, create atmospheric elements like fire or water, fill timeline gaps, and even bring still images to life.Reddit ScoutReddit Scout is a tool that quickly summarizes Reddit comments to help users find the best products to buy, saving time sifting through lengthy threads. It provides a detailed summary of discussions on various topics, such as smart home security systems, and is available as a Chrome extension.Illuminate by GoogleThis platform offers AI-generated audio discussions on various topics, transforming written content into engaging audio summaries. Each entry provides a concise audio summary of key papers and articles, making complex information easily accessible.Thunderbit | Personalized Web AI CopilotThunderbit is an AI-powered tool designed to help business users automate various web tasks. It offers features like AI Web Clipper for extracting essential details from websites, voice note-taking to convert voice into structured notes, and AI-assisted data sync between business tables.Verse: Make free digital pagesVerse is an app that turns your music taste into a visual representation of your personal space, like a digital bedroom inspired by the songs you listen to. It lets you explore and download creative content, from music and art to guides and reviews.🔛 Masterclass: AI/LLM TutorialsEmpowering YouTube creators with generative AI - Google DeepMindGoogle DeepMind is introducing generative AI tools, Veo and Imagen 3, to YouTube creators through a feature called Dream Screen. This will allow users to generate creative video backgrounds for YouTube Shorts by starting with a text prompt and choosing from four AI-generated images. Veo will then turn the selected image into a high-quality 6-second video clip.The Basics Behind AI Models for Self-Driving CarsThis article explains how AI models for self-driving cars work by simulating driving behaviors using sensor data and a neural network. It outlines the basic mechanics: cars are equipped with sensors that detect proximity to objects in all directions, and the model uses this data to predict acceleration, braking, and steering. The neural network is trained on synthetic data that mimics human driving decisions, such as how much to turn or accelerate based on obstacles. A five-layer neural network built with PyTorch is used to train the model, which is evaluated based on its accuracy and crash rates.What is the Chinchilla Scaling Law?The Chinchilla Scaling Law, introduced in 2022, proposes that smaller language models can outperform larger ones if trained on significantly more data. Traditional models like GPT-3 increased in size without proportionally scaling the training data, leading to inefficiencies. The Chinchilla Scaling Law suggests an optimal balance between model size and data, showing that doubling the amount of data for every doubling of model size can maximize performance with the same compute resources.Improve RAG performance using Cohere RerankCohere Rerank helps improve RAG's performance by reordering retrieved documents based on a relevance score using deep learning. This second-stage process refines the results by aligning them more closely with user queries, boosting search accuracy and efficiency. Cohere Rerank can be integrated easily with tools like Amazon SageMaker.MIT researchers have developed "Co-LLM"MIT researchers have developed "Co-LLM," an algorithm that enables large language models (LLMs) to collaborate for more accurate and efficient solutions. It pairs a general-purpose model with a specialized expert model, with a "switch variable" that identifies when the general model needs help. This process allows the general model to handle most of the response, while the expert model steps in only when needed, improving accuracy and efficiency. The approach mimics how humans consult experts for specific tasks.🚀 HackHub: AI Toolsupscayl/upscaylUpscayl is a free, open-source AI-powered image upscaler that lets you enhance and enlarge low-resolution images without losing quality. The tool uses advanced AI algorithms like Real-ESRGAN. You'll need a Vulkan-compatible GPU for best results.s0md3v/roopRoop is an AI-based face-swapping tool that allows you to replace the face in a video with a face of your choice using just a single image—no training or large datasets required. Once set up, you can swap faces in videos by specifying source and target files through command-line options.anthropics/anthropic-quickstartsAnthropic Quickstarts is a set of projects that help developers easily build and deploy applications using the Anthropic API. These quickstarts offer a solid foundation for various applications, starting with a customer support agent powered by Claude, Anthropic's AI.sidhq/Multi-GPTMulti-GPT is an experimental system where multiple specialized GPT models, known as "ExpertGPTs," work together to accomplish tasks. Each expert has its own memory (both short and long-term) and can communicate with other experts to solve complex problems. The system integrates advanced capabilities like internet searches, file storage, and long-term data recall. Users can interact with it by setting tasks, and the experts will collaborate autonomously to complete them, leveraging GPT-4 for text generation and optional tools like Pinecone for memory storage.facebookresearch/audiosealAudioSeal is a speech watermarking method that embeds invisible watermarks into audio, making it possible to detect watermarked segments even after editing. It uses a generator to create watermarks and a detector to find them in real-time with high accuracy, operating up to 100 times faster than existing models.📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

Replit Agent early accessAI_Distilled #67: Apple Intelligence comes to iPhone, iPad, and Mac starting next monthGrow your business & career by 10x using AI Strategies in 4 hrs! 🤯Imagine a future where your business runs like a well-oiled machine, effortlessly growing and thriving while you focus on what truly matters.This isn't a dream—it's the power of AI, and it's within your reach.Join our AI Business Growth & Strategy Crash Course and discover how to revolutionize your approach to business on 12th September at 10 AM EST.In just 4 hours, you’ll gain the tools, insights, and strategies to not just survive, but dominate your market.Sign up here to save your seat! 👈Welcome to AI_Distilled. Today, we’ll talk about:Techwave:[Sponsored] Grow your career by 10x using AI Strategies in 4 hrs!Apple Intelligence comes to iPhone, iPad, and Mac starting next monthReplit Agent early accessAI system developed by Google DeepMind that designs novel proteinsIntroducing LLaVA V1.5 7B on GroqCloudFunction Calling in Google AI StudioAwesome AI:Polymet - Idea to prototype within secondsClipAnything - Choppityfal.aiEarkick - Your Personal AI ChatbotOuterbase | The interface for your databaseMasterclass:Voice Trigger System for SiriAlign Meta Llama 3 to human preferences with DPOAn Intuitive Intro to RLEnhancing LLMs with Structured Outputs and Function CallingSafely repairing broken builds with MLHackHub:Agents for software development Open-source LLM app development platformbuild, manage & run useful autonomous agentsUnderstand Human Behavior to Align True NeedsGenerative models for conditional audio generationCheers!Shreyans SinghEditor-in-Chief, Packt💡Recommended Reading: Essential Concepts of Vector DatabasesUnderstand why vector databases are important in modern data management and how to use them effectively.The course is about 4 hours long and is aimed at people interested in advanced data management techniques.The course includes hands-on sessions for setting up and using these databases, as well as integrating them with Large Language Models and frameworks like LangChain.Get it for $84.99⚡ TechWave: AI/GPT News & AnalysisApple Intelligence comes to iPhone, iPad, and Mac starting next monthApple announced the launch of "Apple Intelligence," a personal intelligence system integrated with iOS 18, iPadOS 18, and macOS Sequoia, starting in October 2024. This system uses advanced generative models and personal context to enhance everyday tasks, like writing assistance, smarter notifications, and a more flexible Siri. Features like a photo Clean Up tool, transcription in Notes and Phone apps, and AI-powered email prioritization will debut first in the U.S., with expanded language and feature support in the following months.Replit Agent early accessReplit Agent is an AI tool that helps users create software projects by understanding natural language prompts. Currently in early access for Replit Core and Teams subscribers, it assists in building web-based applications by guiding users through each step, from selecting technologies to deploying the final product. The agent is designed for prototyping and works closely with users to refine and develop their applications.AI system developed by Google DeepMind that designs novel proteinsAlphaProteo is an AI system developed by Google DeepMind that designs novel proteins to bind to specific target molecules. This technology can accelerate biological research by creating protein binders that aid in drug development, disease understanding, and more. AlphaProteo builds on the success of AlphaFold but goes further by generating new proteins, not just predicting their structures. It has shown high success rates in binding to key targets, such as proteins involved in cancer and viral infections like SARS-CoV-2.Introducing LLaVA V1.5 7B on GroqCloudLLaVA v1.5 7B is a new multimodal AI model available on GroqCloud, enabling developers and businesses to create applications that integrate image, audio, and text inputs. Built from a combination of OpenAI’s CLIP and Meta’s Llama 2, LLaVA v1.5 excels in tasks like visual question answering, image captioning, and multimodal dialogue.Function Calling in Google AI StudioGoogle AI Studio now supports function calling, allowing users to easily test the model's capabilities directly in the interface. This new feature makes it more convenient to experiment with the AI without leaving the UI. Google AI Studio offers free fine-tuning.💻 Awesome AI: Tools for WorkPolymet - Idea to prototype within secondsPolymet is an AI-powered tool that helps users quickly turn ideas into prototypes by generating designs and production-ready code in seconds. Users can describe what they need, iterate on the design with their team, and then export the code and designs, which can easily integrate with tools like Figma and existing codebases.ClipAnything - ChoppityChoppity is an AI-powered video editing tool that allows users to quickly find and clip moments from any video using visual, audio, and sentiment analysis. With its "ClipAnything" feature, users can search for specific parts of a video, such as key events, people, or emotions, without having to manually review hours of footage.fal.aiFal.ai is a generative media platform designed for developers to create and deploy AI-powered applications, particularly focused on text-to-image models. It offers fast, cost-effective inference with models like FLUX.1 and Stable Diffusion, optimized for various creative tasks.Earkick - Your Personal AI ChatbotEarkick is an AI-powered mental health app that helps users track and improve their emotional well-being in real time through a personal chatbot named Panda. Earkick tracks mental readiness, mood, and calmness, while providing daily insights, breathing techniques, and guided self-care sessions.Outerbase | The interface for your databaseOuterbase is an AI-powered platform that simplifies working with databases for engineers, researchers, and analysts. It supports SQL and NoSQL databases, allowing users to manage data securely while using AI tools to write queries, fix mistakes, and generate charts and visualizations instantly. Outerbase's table editor, dashboards, and data catalog help users organize, analyze, and share insights efficiently.🔛 Masterclass: AI/LLM TutorialsVoice Trigger System for SiriApple's voice trigger system for Siri includes a first-stage low-power detector to identify potential triggers, and a second-stage, high-precision model to confirm the trigger. It also incorporates speaker identification to ensure the device responds only to its primary user. This sophisticated setup addresses challenges like background noise and phonetically similar words while maintaining power efficiency and privacy.Align Meta Llama 3 to human preferences with DPODPO involves fine-tuning a large language model (LLM) based on feedback from human annotators who rate or rank the model's responses according to desired values, such as helpfulness and honesty. SageMaker Studio provides the computational environment to fine-tune the model using Jupyter notebooks with powerful GPU instances, while SageMaker Ground Truth simplifies the process of gathering human feedback by managing workflows for data annotation. Together, they allow you to align the Llama 3 model’s responses with specific organizational values efficiently.An Intuitive Intro to RLReinforcement learning (RL) is a type of machine learning where an agent learns by interacting with its environment, making decisions, and receiving feedback in the form of rewards or penalties. The goal is to maximize cumulative rewards over time. The agent starts with little to no knowledge and improves through trial and error, learning from past experiences. In RL, actions taken by the agent change the state of the environment, and based on the rewards received, the agent adjusts its future actions. A key concept in RL is balancing exploration (trying new things) and exploitation (using known strategies for rewards).Enhancing LLMs with Structured Outputs and Function CallingEnhancing LLMs with structured outputs and function calling improves their ability to provide accurate and useful responses. Structured outputs ensure consistency and clarity by organizing information in a logical format, reducing ambiguity. Function calling allows LLMs to perform specific tasks, such as retrieving real-time data or executing external functions, making them more interactive and versatile. Combined with techniques like Retrieval-Augmented Generation (RAG), which integrates relevant external information into the model’s responses, these enhancements lead to more reliable, accurate, and contextually rich conversations with LLMs.Safely repairing broken builds with MLGoogle's engineers have developed a machine learning model called DIDACT to automatically repair broken code builds by analyzing historical data of build errors and their fixes. This model suggests potential fixes to developers directly within their Integrated Development Environment (IDE). In a controlled experiment, the use of these machine learning-suggested fixes improved productivity by reducing active coding and feedback time, and increasing the number of completed code changes.🚀 HackHub: AI ToolsAll-Hands-AI/OpenHandsOpenHands is an AI-powered platform designed to assist with software development, allowing agents to perform tasks similar to human developers. These agents can modify code, run commands, browse the web, call APIs, and even use resources like StackOverflow. OpenHands is easy to set up using Docker and can be run in various modes, including scriptable or interactive CLI.langgenius/difyDify is an open-source platform for developing AI applications, offering an intuitive interface that integrates workflows, agent capabilities, model management, and observability features. Dify's core features include a visual AI workflow builder, integration with numerous LLMs, agent tools, and a retrieval-augmented generation (RAG) pipeline for document handling.TransformerOptimus/SuperAGISuperAGI is an open-source framework designed for developers to create, manage, and run autonomous AI agents. It allows seamless operation of multiple agents simultaneously and provides tools to extend their capabilities. With features like graphical interfaces, performance telemetry, and integration with multiple vector databases, SuperAGI enables AI agents to efficiently handle tasks, learn from experience, and optimize token usage.lllyasviel/Paints-UNDOPaints-Undo is an open-source project that provides AI models designed to simulate the drawing process in digital art. By inputting a completed image, users can generate a sequence of steps showing how that image might have been created, mimicking the "undo" function in digital painting software.Stability-AI/stable-audio-toolsStable-Audio-Tools is an open-source library for working with audio generation models. It provides tools for training and running models that generate audio, including a Gradio interface for testing. Users can install the library via PyPI, and the repository includes scripts for both training models and performing inference.📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}