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Modern Generative AI with ChatGPT and OpenAI Models

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

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781805123330
Length 286 pages
Edition 1st Edition
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Author (1):
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Valentina Alto Valentina Alto
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Valentina Alto
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Toc

Table of Contents (17) Chapters Close

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 16. Other Books You May Enjoy

To get the most out of this book

Here is a list of things you need to have:

Software/hardware covered in the book

System requirements

Python 3.7.1 or higher

Windows, macOS, or Linux

Streamlit

Windows, macOS, or Linux

LangChain

Windows, macOS, or Linux

OpenAI model APIs

OpenAI account

Azure OpenAI Service

An Azure subscription enabled for Azure OpenAI

As always,you can find all the prompts used in the chapters in the GitHub repository of the book: https://github.com/PacktPublishing/Modern-Generative-AI-with-ChatGPT-and-OpenAI-Models/tree/main/Chapter%204%20-%20Prompt%20design

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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