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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

Applying learnings to the new frontier

The book followed a traditional life cycle approach to applying user experience design methods, practices, heuristics, and guidance to the emerging field of generative AI. Even though the chapters align with an order for a development process, many of these tools and techniques can be used throughout the generative AI journey. User research is done up-front to unlock value for future features and is again deployed once solutions allow validation. We hope to instill the care and feeding approach is an absolute with generative solutions. One would think it is an absolute with many software products, but the industry needs to be more enamored with the approach. There are issues with companies picking up releases that change rapidly. Sometimes, it impacts training and is disruptive to services. Generative AI can support a continuous improvement process, just like Google search, which is updated without a decision by the user. Since generative AI follows...

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