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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

Gathering Data – Content is King

There is an assumption in this book: enterprise ChatGPT solutions are needed in almost all cases because a company has something unique to offer its customers, and it possesses an exceptional understanding of its products, services, and content. This content is private or unique and thus not part of large language models (LLMs) built from scraping the internet. Models are built on crawling the 2+ billion pages of web content to teach the model. A third party, Commoncrawl.org, is commonly cited as a primary source of this material for major models (GPT-3, Llama). These models, which are massive collections of text, learn the statistical relationships of words and concepts and can be used to predict and respond to questions. Creating a model can take months; most have billions of connections and words. When customers come to the enterprise for answers, the models must include enterprise content that is not part of this crawl to make them unique...

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