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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

Aligning LLMs with user goals

Let’s say we have a customer or role in mind and want to define their goal. This book concerns the user’s goals, not marketing, engineering, or sales. It is up to product leaders to figure out valid user goals and how valuable the goal is to the overall product. Viability is also essential and typically provided by engineering. Compelling use cases can come from anywhere; the head of the company might have a vision, a customer could complain, the product manager gets an idea from a customer, the QA engineer recognizes a shortcut, user researchers uncover a critical workaround, or designers imagine a solution to a pain point for customers. Be less concerned with who comes up with the solution and more focused on how much value it provides. Don’t get hung up on which vendors LLM is needed. As OpenAI and the industry evolve, a broad range of models with specific capabilities and costs will be available. This fit-to-purpose allows building...

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