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

Product type Paperback

Published in May 2023

Publisher Packt

ISBN-13 9781805123330

Length 286 pages

Edition 1st Edition

Languages

Python

Tools

Azure

Concepts

GPT/LLMs

Author (1):

Valentina Alto

View More author details

Table of Contents (17) Chapters

Preface

1. Part 1: Fundamentals of Generative AI and GPT Models

2. Chapter 1: Introduction to Generative AI FREE CHAPTER

3. Chapter 2: OpenAI and ChatGPT – Beyond the Market Hype

4. Part 2: ChatGPT in Action

5. Chapter 3: Getting Familiar with ChatGPT

6. Chapter 4: Understanding Prompt Design

7. Chapter 5: Boosting Day-to-Day Productivity with ChatGPT

8. Chapter 6: Developing the Future with ChatGPT

9. Chapter 7: Mastering Marketing with ChatGPT

10. Chapter 8: Research Reinvented with ChatGPT

11. Part 3: OpenAI for Enterprises

12. Chapter 9: OpenAI and ChatGPT for Enterprises – Introducing Azure OpenAI

13. Chapter 10: Trending Use Cases for Enterprises

14. Chapter 11: Epilogue and Final Thoughts

15. Index

Why subscribe?

16. Other Books You May Enjoy

Who this book is for

This book is aimed at a broad audience. It is for general users who are interested in boosting their daily productivity with ChatGPT and OpenAI and diving deeper into the technology and model architecture behind ChatGPT. It is also for business users who want to get deeper into real-world applications of ChatGPT and OpenAI models and learn how they can empower their organizations. This book is also for data scientists and developers who want to dive deeper into the ways that ChatGPT and OpenAI models can boost their ML models and code, as well as marketers and researchers who want to dive deeper into the OpenAI and ChatGPT use cases in their domains.

Since the book provides a theoretical overview of the technologies behind the OpenAI models and the main concepts of Generative AI, there are no particular requirements in order to read it. If you are also interested in implementing the practical use cases, the end-to-end solutions and relevant code in Python are provided, as well as the step-by-step implementation.