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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

Setting up a customized model

So now we have a sense of the people and tools we need. One more piece of the puzzle is the content that will make a ChatGPT solution valuable. There are many ways to include content in an LLM, such as ChatGPT. However, we assume a focus on unique, proprietary content hidden behind a secure paywall or available only to authenticated users. If company answers are already out in the world and answered by the basic ChatGPT, ask yourself, How would my custom version of ChatGPT provide value? We can help get that answer by focusing our content discussions on building a private model and including company data without sharing it with the world.

The idea of enterprise assistants is precisely that. Ensure company data is only exposed to customers and that adding it to an instance of ChatGPT does not expose the data to the world. Only some people were this careful when ChatGPT was first introduced. Don’t add sensitive data to a model used by competitors...

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