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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

Prompt Engineering

Prompt engineering for an enterprise takes a slightly different approach to interacting with ChatGPT or any LLM for personal use. Prompt engineering helps ensure that when the customer messages the LLM, a set of instructions is in place for them to succeed. When building prompts to generate a recommendation or complete some backend analysis, the recommendation team directly creates the prompt. The job is to consider how the instructions that give context to the customer’s messages, also called a prompt, are framed or create the prompts that request a result directly from the LLM. First, we will focus on prompt engineering before continuing with fine-tuning in the next chapter, which is an inevitable next step for enterprise solutions.

None of the tools discussed should be considered in a silo. Any enterprise solution will adopt Retrieval-Augmented Generation (RAG), prompt engineering, fine-tuning, and other approaches. Each can support different capabilities...

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