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UX for Enterprise ChatGPT Solutions - by Richard H Miller (Paperback)
About this item
Highlights
- Create engaging AI experiences by mastering ChatGPT for business and leveraging user interface design practices, research methods, prompt engineering, the feeding lifecycle, and moreKey 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 eBookBook Description: Many enterprises grapple with new technology, often hopping on the bandwagon only to abandon it when challenges emerge.
- Author(s): Richard H Miller
- 446 Pages
- Computers + Internet, Natural Language Processing
Description
About the Book
This book shows you how to transform the ChatGPT experience into user experience that fits your customers' needs.
Book Synopsis
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
- Recognizing the Power of Design in ChatGPT
- Conducting Effective User Research
- Identifying Optimal Use Cases for ChatGPT
- Scoring Stories
- Defining the Desired Experience
- Gathering Data - Content is King
- Prompt Engineering
- Fine-Tuning
- Guidelines and Heuristics
- Monitoring and Evaluation
- Process
- Conclusion