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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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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

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.

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