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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

Building conversational guidelines

A guideline can be built into a test case. It forces people to follow a defined solution. The testing software can test for a specific font or size in a page header or a button label that doesn’t use a term an organization forbids (such as abort, kill, or execute). Doing something precisely, the same every time isn’t very conversational. Repeatability and consistency are crucial in enterprise solutions that don’t always match a conversational style, tone, and engagement. Consider that the LLM can understand a range of phrases while a fixed traditional test suite has little flexibility, although a test could look for one phrase from a collection of options.. The testing we did in the earlier chapters is a form of validation and can be used to address if the model is acting as expected for areas like following the ten heuristics or adhering to specific guidelines.

Develop guidelines by drawing on existing resources and consider...

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