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Key benefits

Explore the theory behind generative AI models and the road to GPT3 and GPT4

Become familiar with ChatGPT’s applications to boost everyday productivity

Learn to embed OpenAI models into applications using lightweight frameworks like LangChain

Description

Generative AI models and AI language models are becoming increasingly popular due to their unparalleled capabilities. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models. You’ll start with an introduction to the field of generative AI, helping you understand how these models are trained to generate new data. Next, you’ll explore use cases where ChatGPT can boost productivity and enhance creativity. You’ll learn how to get the best from your ChatGPT interactions by improving your prompt design and leveraging zero, one, and few-shots learning capabilities. The use cases are divided into clusters of marketers, researchers, and developers, which will help you apply what you learn in this book to your own challenges faster. You’ll also discover enterprise-level scenarios that leverage OpenAI models’ APIs available on Azure infrastructure; both generative models like GPT-3 and embedding models like Ada. For each scenario, you’ll find an end-to-end implementation with Python, using Streamlit as the frontend and the LangChain SDK to facilitate models' integration into your applications. By the end of this book, you’ll be well equipped to use the generative AI field and start using ChatGPT and OpenAI models’ APIs in your own projects.

Who is this book for?

This book is for individuals interested in boosting their daily productivity; businesspersons looking to dive deeper into real-world applications to empower their organizations; data scientists and developers trying to identify ways to boost ML models and code; marketers and researchers seeking to leverage use cases in their domain – all by using Chat GPT and OpenAI Models. A basic understanding of Python is required; however, the book provides theoretical descriptions alongside sections with code so that the reader can learn the concrete use case application without running the scripts.

What you will learn

Understand generative AI concepts from basic to intermediate level

Focus on the GPT architecture for generative AI models

Maximize ChatGPT's value with an effective prompt design

Explore applications and use cases of ChatGPT

Use OpenAI models and features via API calls

Build and deploy generative AI systems with Python

Leverage Azure infrastructure for enterprise-level use cases

Ensure responsible AI and ethics in generative AI systems

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Modern Generative AI with ChatGPT and OpenAI Models

€37.99

Building AI Applications with ChatGPT APIs

€33.99

50 Algorithms Every Programmer Should Know

€37.99

Total € 109.97

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Izzy Dec 24, 2023

Good read. I picked up some ideas I can immediately use.

Subscriber review

Ivan Jun 17, 2023

I've read 3 others so far and this one is my favorite. It covers some history, ethics, limitations, and has code and use case examples. I loved the concrete examples in chapter 10 along with the code samples.

Amazon Verified review

Kyle Gallatin Oct 21, 2023

This book is a great introduction to:- how generative AI works- the current landscape of generative AI tooling- the practical applications of generative AI from both a personal and enterprise perspectiveI'd highly recommend it to those who already have some domain knowledge in the space but want to take their first steps into practical application! By far I found the "Trending Use Cases for Enterprises" chapter most enlightening, since it provides both concrete business use cases and implementation details that anyone can scale to their use case!

Yiqiao Yin Jun 14, 2023

"Generative AI with ChatGPT: Building Language Models for Productivity and Applications" is a comprehensive guide that delves into the theory and practical implementation of generative AI models, with a specific focus on OpenAI's ChatGPT. Authored by experts in the field, this book offers valuable insights into the inner workings of language models and equips readers with the knowledge and skills necessary to create their own models.The book starts by introducing the concept of generative AI and provides a clear explanation of how these models are trained to generate new data. The authors effectively break down complex concepts, making them accessible even to readers with a basic understanding of Python. The gradual progression from basic to intermediate level concepts ensures a smooth learning curve.One of the book's notable strengths lies in its emphasis on real-world applications. It explores various use cases where ChatGPT can significantly boost productivity and enhance creativity across different domains such as marketing, research, and development. By showcasing practical examples and offering insights into prompt design and zero, one, and few-shot learning techniques, the book empowers readers to maximize the potential of ChatGPT in their own projects.Furthermore, the integration of OpenAI models, including both generative models like GPT-3 and embedding models like Ada, into enterprise-level scenarios is a noteworthy aspect of this book. The authors guide readers through implementing end-to-end solutions using Python, Streamlit as the frontend, and the LangChain SDK for seamless integration. This comprehensive approach ensures that readers gain a thorough understanding of how to leverage OpenAI models' APIs within their own applications.Moreover, the book addresses the importance of responsible AI and ethics in generative AI systems. By highlighting these considerations, the authors emphasize the need to develop AI models in an ethical and accountable manner, promoting a well-rounded understanding of the field.In terms of the target audience, the book caters to a wide range of readers. It appeals to individuals seeking to enhance their daily productivity, business professionals aiming to leverage AI applications within their organizations, data scientists and developers looking to optimize ML models and code, as well as marketers and researchers interested in domain-specific use cases. The inclusion of theoretical descriptions alongside practical code sections ensures that readers can grasp both the underlying concepts and their concrete applications.However, it is important to note that a basic understanding of Python is required to fully benefit from the book's content. While the authors provide explanations and code snippets, readers without prior Python knowledge may face challenges in grasping the more technical aspects.In conclusion, "Generative AI with ChatGPT: Building Language Models for Productivity and Applications" is a valuable resource for anyone interested in harnessing the power of generative AI. The book offers a comprehensive exploration of generative AI concepts, an in-depth focus on ChatGPT, and practical guidance on implementing AI models in real-world scenarios. With its clear explanations, use case examples, and ethical considerations, this book equips readers with the necessary knowledge and skills to leverage ChatGPT and OpenAI models' APIs effectively.

Chaitanya Yadav Aug 23, 2023

Modern Generative AI with ChatGPT and OpenAI Models by Valentina Alto is a comprehensive and informative guide to the latest generative AI technologies, with a specific focus on ChatGPT and OpenAI models.This book doesn't require you to have any sort of prior experience, if you are a beginner then also you will be able to understand easily.I think Modern Generative AI with ChatGPT and OpenAI Models is an excellent book. It is a must-read for anyone who wants to learn more about generative AI and how it can be used to solve real-world problems.

Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4

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