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

by Valentina Alto

Harness the power of AI with innovative, real-world applications, and unprecedented productivity boosts, powered by the latest advancements in AI technology like ChatGPT and OpenAI Purchase of the print or Kindle book includes a free PDF eBook 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. 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.

Genres: Artificial Intelligence, Nonfiction

286 pages, Paperback

Published May 26, 2023

Reviews

[Arensb · Rating 2 out of 5]

The part that I read seemed poorly edited. It seems unsure of who its audience is. The author explains that Machine Learning is part of the overarching topic of Artificial Intelligence, and a couple of pages later just assumes that the reader is familiar with terms like "learning gradient".

When the book mentioned an "earlier example" that does not, in fact, appear in the book, I put it down.

[Santhosh Raju · Rating 4 out of 5]

Was a very informative book about the new kid in the block, GPT. Author starts with overview of Generative AI and gives a list of use cases across industries. I formed few ideas of my own by reading some of the use cases. Highly recommend for product owners and engineers, to know the potential of Generative AI and LLM. And how to use them for your advantage and be productive at work.

[Iikka Virkkunen · Rating 1 out of 5]

Superficial

Mostly superficial and overly generic advice with very little insight. Could have been written with ChatGPT. You’re better off discussing the topics with your favourite GPT rather than buying this book.

[Özgür · Rating 3 out of 5]

A 101-201 level book.

[Federico Lucifredi · Rating 5 out of 5]

Good coverage of RNN and Transformer architecture in Chapters 1 and 2.