Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
UX for Enterprise ChatGPT Solutions

You're reading from   UX for Enterprise ChatGPT Solutions A practical guide to designing enterprise-grade LLMs

Arrow left icon
Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781835461198
Length 446 pages
Edition 1st Edition
Tools
Arrow right icon
Author (1):
Arrow left icon
Richard H. Miller Richard H. Miller
Author Profile Icon Richard H. Miller
Richard H. Miller
Arrow right icon
View More author details
Toc

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

Avoiding ChatGPT limitations, biases, and inappropriate responses

A puzzle piece might not fit a puzzle because it is from a different puzzle. We love to take a new tool and apply it to every solution. A hammer has a lot more uses than just pounding nails, but that doesn’t make it the right tool for the job. ChatGPT’s unique ability to predict what to say next will not always fit a specific use case perfectly. There are plenty of spaces where there might not be a good match. Or, as shown in the enterprise patching example, it’s not necessary to apply ChatGPT to every step to get value. Not only should the use cases be the most important, but they should also be ones where ChatGPT integration makes sense. Here are some areas where it might be challenging to apply ChatGPT to a solution and some creative thinking to help if these situations apply.

Lack of real-time information

Foundational models have cut-off dates for the ingestion of new material. A new model...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image