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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

Summary

Tools on both ends were covered: analytic tools, such as RAGAs with metrics (sorry for the math!), and usability tools to monitor ongoing improvements from the customer’s perspective. This and monitoring conversations will flow into refinements needed for RAG materials, instructions/prompts, fine-tuning, and swapping to newer models while improving integrations with services and APIs. To do this well, this needs to fit into a process that can handle the dynamic nature of LLMs.

The next chapter offers insights into implementing processes conducive to LLM development and integrating with engineering to improve LLM solutions continuously.

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