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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
Tools
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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

Wrapping up the journey

There was a lot of ground to cover; will these skills, methods, practices, heuristics, and recommendations that will remain true three to five years from now? Sure, OpenAI will change its Playground, and a few links will stop working (the online references will be updated), but the concepts will live on for a while. The goal for OpenAI is to eliminate the considerable work needed with prompt engineering; when that happens, recycle the book and retire to the beach. However, for the foreseeable future, there is work to do.

And maybe you noticed we didn’t once discuss ChatGPT’s enterprise tools. Of course, they have new tools coming soon, and a few select companies would be early adopters. What OpenAI can provide is likely valuable and even necessary but not sufficient. Some of this is already part of any plan, like the public APIs, multi-factor authentication, batch APIs for offline workload, encryption, and single sign-on (SSO). The ecosystem...

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