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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

Traversing the history of conversational AI

Interaction design intersected with AI well before the LLM revolution. This history is helpful to appreciate when applying design principles to the latest conversational experiences. Any discussion of AI at least mentions Alan Turing and the question posed by his article in Mind (a peer-reviewed academic journal).

Article: Computing Machinery and Intelligence (1950)

This is routinely referenced as the Turing Test. The ability of a machine to seem intelligent and be indistinguishable from a human.

Article: Wikipedia on the Turing Test

When this was published in 1950, we were still far from a computer being indistinguishable from a human, at least in a text-only interaction. We must skip ahead to the mid-1960s before we see something that appears to engage in discourse.

If we try out one of ELIZA’s conversational interfaces...

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