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UX for Enterprise ChatGPT Solutions

UX for Enterprise ChatGPT Solutions

By : Richard H. Miller
4.6 (7)
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UX for Enterprise ChatGPT Solutions

UX for Enterprise ChatGPT Solutions

4.6 (7)
By: Richard H. Miller

Overview of this book

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 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.
Table of Contents (18 chapters)
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Part 1:UX Foundation for Enterprise ChatGPT
7
Part 2: Designing
11
Part 3: Care and Feeding

Defining the Desired Experience

To define the desired experience, the first decision is which experiences demand attention. This is the prioritization discussion started in the last chapter. Knowing where these use cases are to appear helps with scope, planning, and follow-through. Some require building traditional conversational experiences; shockingly, these can be called classic now! Others will use channels (such as Slack, Teams, or a web experience) that can handle interactive elements, such as GUI components. Some will extend features within existing channels to include LLMs in the workflow to solve a limited use case. That last one is a powerful incremental approach. Others will build single-purpose bots or voice-only interfaces. Each of these experiences has unique and general considerations.

This chapter will cover the highest-priority enterprise user experiences one can develop with ChatGPT, along with three overarching design elements: accessibility, internationalization...

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