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Welcome to AI_Distilled. Today, we’ll talk about:

Awesome AI:

LM Studio - Discover, download, and run local LLMs

Painless Data Extraction and Web Automation

Fleak AI Serverless API Builder

Listen to Actual Clients' Feedback

Theysaid - Conversational AI Surveys

Masterclass:

Unlocking 7B+ language models in your browser: A deep dive with Google AI Edge's MediaPipe

Deploying Attention-Based Vision Transformers to Apple Neural Engine

Mistral-NeMo: 4.1x Smaller with Quantized Minitron

Connect the Amazon Q Business generative AI coding companion to your GitHub repositories

Augmenting recommendation systems with LLMs

HackHub:

high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.

Multi-Platform Package Manager for Stable Diffusion

Sharpen your low-resolution pictures with the power of AI upscaling

Transform your database into your AI platform

Large language model series developed by Qwen team, Alibaba Cloud.

Cheers!

Shreyans Singh

Editor-in-Chief, Packt

LM Studio - Discover, download, and run local LLMs

LM 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.ai

Fleak 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 AI

Seven24 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 Surveys

TheySaid 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.

Unlocking 7B+ language models in your browser: A deep dive with Google AI Edge's MediaPipe

Google 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 Engine

The 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 Minitron

NVIDIA'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 repositories

You 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 LLMs

Large 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.

zed-industries/zed

Zed 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/StabilityMatrix

Stability 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/SuperImage

SuperImage 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/superduper

Integrate 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/Qwen2

Qwen2 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.

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