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Practical Generative AI with ChatGPT

You're reading from   Practical Generative AI with ChatGPT Unleash your prompt engineering potential with OpenAI technologies for productivity and creativity

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Product type Paperback
Published in Apr 2025
Publisher Packt
ISBN-13 9781836647850
Length 386 pages
Edition 2nd Edition
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Author (1):
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Valentina Alto Valentina Alto
Author Profile Icon Valentina Alto
Valentina Alto
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Toc

Table of Contents (18) Chapters Close

Preface 1. Fundamentals of Generative AI and OpenAI
2. Introduction to Generative AI FREE CHAPTER 3. OpenAI and ChatGPT: Beyond the Market Hype 4. ChatGPT in Action
5. Understanding Prompt Engineering 6. Boosting Day-to-Day Productivity with ChatGPT 7. Developing the Future with ChatGPT 8. Mastering Marketing with ChatGPT 9. Research Reinvented with ChatGPT 10. Unleashing Creativity Visually with ChatGPT 11. Exploring GPTs 12. OpenAI for Enterprises
13. Leveraging OpenAI’s Models for Enterprise-Scale Applications 14. Epilogue and Final Thoughts 15. Other Books You May Enjoy
16. Index
Appendix

Code assistant

In this section, I want to develop an assistant that is tailored toward data science projects. More specifically, I want my assistant to be able to:

  • Provide clear guidance on how to set up a data science experiment, given the user’s task.
  • Generate the Python code needed to run the experiment.
  • Leverage Code Interpreter’s capabilities to run and check the code.
  • Push the final code to the GitHub repository.

    Note

    When it comes to code generation, custom GPTs can offer significant advantages over general-purpose ChatGPT. By incorporating domain-specific knowledge and tailored instructions, custom GPTs can produce code that is more accurate, efficient, and aligned with specific requirements. This customization allows the model to understand and adhere to coding standards, frameworks, or libraries pertinent to a given project, reducing the likelihood of errors and the need for extensive revisions. Plus, thanks...

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