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

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Birmingham, UK : Packt Publishing Ltd., 2024.
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Available Online

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.

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Language
English
ISBN
9781835463802, 1835463800

Notes

Bibliography
References -- Chapter 4: Scoring Stories -- Prioritizing the backlog -- WSJF -- User Needs Scoring -- Scoring enterprise solutions -- Examples of scoring -- Putting a backlog into order -- Patching case study revisited -- Extending tracking tools with scoring -- Try the User Needs Scoring method -- Creating more complex scoring methods -- Working with multiple backlogs in Agile -- Real-world hiccups with scoring -- I know Agile, and this is not WSJF -- The use of simple numbers one to four -- Weighting factors -- Severity seems complicated to judge
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.
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Citations

APA Citation, 7th Edition (style guide)

Miller, R. H. (2024). UX FOR ENTERPRISE CHATGPT SOLUTIONS: a practical guide to designing enterprise-grade LLMs . Packt Publishing Ltd..

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Miller, Richard H.. 2024. UX FOR ENTERPRISE CHATGPT SOLUTIONS: A Practical Guide to Designing Enterprise-grade LLMs. Birmingham, UK: Packt Publishing Ltd.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Miller, Richard H.. UX FOR ENTERPRISE CHATGPT SOLUTIONS: A Practical Guide to Designing Enterprise-grade LLMs Birmingham, UK: Packt Publishing Ltd, 2024.

Harvard Citation (style guide)

Miller, R. H. (2024). UX FOR ENTERPRISE CHATGPT SOLUTIONS: a practical guide to designing enterprise-grade llms. Birmingham, UK: Packt Publishing Ltd.

MLA Citation, 9th Edition (style guide)

Miller, Richard H.. UX FOR ENTERPRISE CHATGPT SOLUTIONS: A Practical Guide to Designing Enterprise-grade LLMs Packt Publishing Ltd., 2024.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Full titleux for enterprise chatgpt solutions a practical guide to designing enterprise grade llms
Authormiller richard h
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504 |a References -- Chapter 4: Scoring Stories -- Prioritizing the backlog -- WSJF -- User Needs Scoring -- Scoring enterprise solutions -- Examples of scoring -- Putting a backlog into order -- Patching case study revisited -- Extending tracking tools with scoring -- Try the User Needs Scoring method -- Creating more complex scoring methods -- Working with multiple backlogs in Agile -- Real-world hiccups with scoring -- I know Agile, and this is not WSJF -- The use of simple numbers one to four -- Weighting factors -- Severity seems complicated to judge
5050 |a 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
5058 |a 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
5058 |a 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
5058 |a 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
520 |a 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.
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