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UX for Enterprise ChatGPT Solutions

You're reading from   UX for Enterprise ChatGPT Solutions A practical guide to designing enterprise-grade LLMs

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781835461198
Length 446 pages
Edition 1st Edition
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Author (1):
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Richard H. Miller Richard H. Miller
Author Profile Icon Richard H. Miller
Richard H. Miller
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Table of Contents (18) Chapters Close

Preface 1. Part 1:UX Foundation for Enterprise ChatGPT FREE CHAPTER
2. Chapter 1: Recognizing the Power of Design in ChatGPT 3. Chapter 2: Conducting Effective User Research 4. Chapter 3: Identifying Optimal Use Cases for ChatGPT 5. Chapter 4: Scoring Stories 6. Chapter 5: Defining the Desired Experience 7. Part 2: Designing
8. Chapter 6: Gathering Data – Content is King 9. Chapter 7: Prompt Engineering 10. Chapter 8: Fine-Tuning 11. Part 3: Care and Feeding
12. Chapter 9: Guidelines and Heuristics 13. Chapter 10: Monitoring and Evaluation 14. Chapter 11: Process 15. Chapter 12: Conclusion 16. Index 17. Other Books You May Enjoy

Andrew Ng’s agentic approach

There are a wealth of videos and tutorials out there. Andrew NGs are recommended because of his long history in the space and the trust he has garnered. You may already know Andrew NG or follow his AI discussions. In the following video, he discusses a few critical design patterns.

Video: Andrew NG Agentic Presentation

I delayed discussing these in the previous section to include them here. This will reinforce the concept that there are many approaches to solving problems and that no single approach will work for all solutions:

  • Reflection
  • Tool use
  • Planning
  • Multi-agent collaboration

Many of these are essential to our prompt engineering and nuanced tuning discussion. Let’s explore each of these approaches.

Reflection

This is a great approach. Take the output from the LLM and ask it to think more deeply about refining it. If it is sent back to the same LLM, this...

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