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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 processes that fit the solution

We talk about bringing the solution to the customer, not forcing the customer to go to the solution. This takes many forms and many paths that follow this mantra:

  • Talk in the customer’s language and refrained from forcing them to learn how we speak.
  • Use prompt engineering and fine-tuning to align with the customer, and do not expect the customer to align with us.
  • Review how to deploy a solution, bringing AI where they need it. It might be on Slack, Teams, Discord, or a web channel. This could also be via several messaging apps, a web service, and a desktop or mobile app, all with slightly different capabilities.

To accommodate these solutions, processes must allow these engagements. Solutions need to span multiple channels, each with slightly different needs. The customer might have different expectations of those channels. Text, images, and links on a simple messaging platform might support more robust interactions...

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