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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

What is a prompt and why is it important?

In the context of generative AI, a prompt refers to the input the user provides to the generative models. When we talk about ChatGPT and OpenAI models, prompts mainly refer to a piece of text in natural language or – as we saw for Codex models – in programming languages.

Prompts are the only way users can control the output generated by those models. As such, there is no surprise in saying that the quality of the prompts used to engage the AI system in a conversation is key to determining its success.

Well-defined prompts are the recipe for a successful conversation that covers the topics of interest; poorly-defined prompts, on the other hand, not only prevent the conversation from being useful to the user but could also lead to potentially misleading content. As we saw in the previous chapter, ChatGPT still suffers from some limitations, such as the 2021 cut-off of its knowledge base, as well as another caveat typical of...

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