UX FOR ENTERPRISE CHATGPT SOLUTIONS: a practical guide to designing enterprise-grade LLMs

Book Cover
Average Rating
Publisher
Packt Publishing Ltd
Publication Date
2024
Language
English

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.

More Details

ISBN
9781835463802

Table of Contents

From the eBook

Cover
Title page
Copyright and credits
Dedication
Foreword
Acknowledgment
Contributors
Preface
Table of Contents
Part 1: UX Foundation for Enterprise ChatGPT
Chapter 1: Recognizing the Power of Design in ChatGPT
Technical requirements
Approach 1
The no-code approach
Approach 2
code with Node.JS, Python, or curl
Traversing the history of conversational AI
The importance of UX design for ChatGPT
Understanding the science and art of UX design
The science of design
The art of design
It takes a village to create superb UX
Setting up a customized model
Summary
References
Chapter 2: User Research
Surveying UX research methods
Understanding user needs analysis
Surveys for conversational AI
Survey checklist
Case study on an effective survey
Designing insightful interviews
Defining research objectives
Selecting participants
Develop a structured interview program
Pilot the interview process and program
Conduct the structured interviews
Record and document findings
Data analysis
Report findings
Summary of the interview process
Getting started with conversational analysis
Tagging a log file should focus on each interaction
Define success and failure categories
Trying conversational analysis
Exploring the examples from the case study
Generate enhancements and bugs from groups of issues
Score results
Results
Summary
References
Chapter 3: Identifying Optimal Use Cases for ChatGPT
Understanding use case basics
Use case or user stories
Establishing a baseline with ChatGPT
Example use case for a ChatGPT instance
patching software
Creating a user story from a use case
Prioritizing ChatGPT opportunities from the use case
Aligning LLMs with user goals
Applications of ChatGPT
Examples of generative AI outside of chat
Avoiding ChatGPT limitations, biases, and inappropriate responses
Lack of real-time information
Complex or specialized topics
Long-form content generation
Long-term memory
Sensitive information
Biased thinking
Emotion and empathy
Ethical and moral guidance
Critical decision making
Programming and debugging
Translation accuracy
Educational substitution
Don't force-fit a solution
Summary

Discover More

Reviews from GoodReads

Loading GoodReads Reviews.

Staff View

Loading Staff View.