Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4 Paperback – Import, 26 May 2023

Good illustrations are provided in the book which makes it easy to understand the context. Additionally, simple and clear language is used in the book.

It is great book to add to your collection. Beginner friendly, easy to understand. It offers a comprehensive exploration of Generative AI and practical applications of ChatGPT, making it a valuable addition to your AI library!

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.

Excelente libro para empezar en estos temas, trae algunos ejemplos con código, te da ideas de los problemas que pudiera resolver y herramientas que puedes usar.

"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.

Senza farvi perdere tempo sperimentando alla rinfusa, Valentina vi spiega con casi pratici come interagire con il prompt in maniera efficace e continua. Inoltre da anche un sacco di insight su quello che sta avvenendo e su cosa possiamo aspettarci nei prossimi mesi

The book is non-technical historical overview of OpenAI and it's usage with Azure. There is an entire chapter dedicated to history of Azure and OpenAI and how the two have merged etc. Screenshots of Azure OpenAI interface is extremely small and barely readable. Everything is available on Azure OpenAI docs. Probably appropriate for anyone looking for something non-technical and who has zero knowledge of anything related to Chatgpt etc. Also the 'Generative AI' bit in the title is misleading as nothing besides the OpenAI playground dealing with ChatGPT is discussed. I wouldn't recommend this book

There are a couple of chapters that try to explain how ChatGPT works, but they are full of cryptic, awful writing. Actual example sentence: "Let's imagine we want to predict a house price. If we had only today's price for it, we could use a feedforward architecture where we apply a non-linear transformation to the input via a hidden layer (with an activation function) and get as output the forecast of the price for tomorrow." (accompanied by very simplistic blurry image).Most of the rest of the book is suggestions for ChatGPT prompts, without insights on how ChatGPT works.