UX for Enterprise ChatGPT Solutions: A practical guide to designing enterprise-grade LLMs

UX for Enterprise ChatGPT Solutions: A practical guide to designing enterprise-grade LLMs

UX for Enterprise ChatGPT Solutions: A practical guide to designing enterprise-grade LLMs

Author: Richard H. Miller (Author)

Publisher finelybook 出版社:‏ ‎Packt Publishing

Edition 版本:‏ ‎ N/A

Publication Date 出版日期:‏ ‎ 2024-09-6

Language 语言: ‎ English

Print Length 页数: ‎ 446 pages

ISBN-10: ‎ 1835461190

ISBN-13: ‎ 9781835461198

Book Description

Create engaging AI experiences by mastering ChatGPT for business and leveraging user interface design practices, research methods, prompt engineering, the feeding lifecycle, and more

Key Features

  • Learn in-demand design thinking and user research techniques applicable to all conversational AI platforms
  • Measure the quality and evaluate ChatGPT from a customer’s perspective for optimal user experience
  • Set up and use your secure private data, documents, and materials to enhance your ChatGPT models
  • Purchase of the print or Kindle book includes a free PDF eBook

Book Description

Many enterprises grapple with new technology, often hopping on the bandwagon only to abandon it when challenges emerge. This book is your guide to seamlessly integrating ChatGPT into enterprise solutions with a UX-centered approach.

UX for Enterprise ChatGPT Solutions empowers you to master effective use case design and adapt UX guidelines through an engaging learning experience. Discover how to prepare your content for success by tailoring interactions to match your audience’s voice, style, and tone using prompt-engineering and fine-tuning. For UX professionals, this book is the key to anchoring your expertise in this evolving field. Writers, researchers, product managers, and linguists will learn to make insightful design decisions. You’ll explore use cases like ChatGPT-powered chat and recommendation engines, while uncovering the AI magic behind the scenes. The book introduces a care and feeding model, enabling you to leverage feedback and monitoring to iterate and refine any Large Language Model solution. Packed with hundreds of tips and tricks, this guide will help you build a continuous improvement cycle suited for AI solutions.

By the end, you’ll know how to craft powerful, accurate, responsive, and brand-consistent generative AI experiences, revolutionizing your organization’s use of ChatGPT.

What you will learn

  • Align with user needs by applying design thinking to tailor ChatGPT to meet customer expectations
  • Harness user research to enhance chatbots and recommendation engines
  • Track quality metrics and learn methods to evaluate and monitor ChatGPT’s quality and usability
  • Establish and maintain a uniform style and tone with prompt engineering and fine-tuning
  • Apply proven heuristics by monitoring and assessing the UX for conversational experiences with trusted methods
  • Refine continuously by implementing an ongoing process for chatbot care and feeding

Who this book is for

This book is for user experience designers, product managers, and product owners of business and enterprise ChatGPT solutions who are interested in learning how to design and implement ChatGPT-4 solutions for enterprise needs. You should have a basic-to-intermediate level of understanding in UI/UX design concepts and fundamental knowledge of ChatGPT-4 and its capabilities.

Table of Contents

  1. Recognizing the Power of Design in ChatGPT
  2. Conducting Effective User Research
  3. Identifying Optimal Use Cases for ChatGPT
  4. Scoring Stories
  5. Defining the Desired Experience
  6. Gathering Data – Content is King
  7. Prompt Engineering
  8. Fine-Tuning
  9. Guidelines and Heuristics
  10. Monitoring and Evaluation
  11. Process
  12. Conclusion

Review

“The book is structured as a tutorial on building ChatGPT-based enterprise applications, interspersed with lessons on the methods used in UXD and UCD. It starts by summarizing the histories of AI/LLMs and UXD/UCD and explains the benefits of each, but then jumps into a tutorial on creating a custom instance of ChatGPT with proprietary data. Subsequent chapters teach how to perform user research and task analysis, prioritize features and improvements, choose the most suitable type of application, how the book’s recommendations fit into Agile development processes, and more.

One of this book’s most useful features is that it is designed mainly as an e-book with live links to sources, examples, and other external resources. For the benefit of readers of the book’s printed version, Richard created a webpage with all the links in the e-book version.

This book is the first of its kind and a significant and welcomed addition to the growing body of books on maximizing the value of LLMs.”

Jeff Johnson, Ph.D., Former Professor, Department of Computer Science, University of San Francisco

About the Author

Richard H. Miller, Ph.D., is a dynamic leader in user experience and conversational AI. With over 20 years of experience in UX design strategy and 7 years in conversational AI, he has founded and managed four global teams, delivering user-centered design solutions to Fortune 500 organizations. At Oracle Corp., he led a team that developed the Oracle support portal, generating over $15B of in-service support revenue. Richard was at the forefront of Oracle’s conversational AI deployments on Slack, Teams, and the web. He developed the Expense Assistant AI and designed Oracle’s first conversational AI platform. After multiple start-ups, some successful and some not so much, he has grown his design expertise across many disciplines, platforms, toolkits, and technologies. Dr. Miller, as he is known in academic circles or when teaching, specializes in global team building, innovative UX design, Agile design, and growing the expertise of the next generations of UI leaders. Richard still gets to apply what he learned from his Ph.D. in UX design and his MBA. He is committed to excellence and innovation in design and conversational AI.

Amazon Page

相关文件下载地址

PDF, EPUB | 23 MB | 2024-09-08

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