April 2025
9h 17m
English
Overview
In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.
Create and improve conversational AI with the latest patterns, best practices, and tools, including generative AI models.
Conversational AI (CAI) tools are built to solve problems, but all-too-often they just end up causing pain for users–and developers! Effective Conversational AI reveals best practices and industry-tested techniques for creating chatbots and conversational AI tools that are reliable at an enterprise scale. With the tested ideas and examples in this book, you’ll learn to build chatbots that your customers and colleagues will actually want to use!
In Effective Conversational AI you’ll learn how to:
- Create high-quality chatbots and other conversational AI experiences
- Plan for continuous improvement
- Incorporate generative AI solutions to improve quality, accuracy, and usability
- Evaluate user experience and business results
Effective Conversational AI introduces continuous improvement practices that are vital for the constant betterment and evolution of chatbots and CAI tools. It introduces the three most-common forms of chatbot—Q&A, process-oriented, and routing agents—and presents a reliable framework for continuously improving each one. Using modern generative AI and tried-and-tested classic approaches, you’ll learn to deliver high performance chatbots that can guide a customer through complex end-to-end tasks—no human required!
About the Technology
Powerful new chatbot frameworks and Generative AI models can practically eliminate problems like misinterpreting user intent and delivering nonsensical answers. In this book, you’ll learn how to build chatbots that take advantage of large language models and other modern tools and create conversational AI experiences users will love.
About the Book
Effective Conversational AI teaches you how to build great chatbots that perform reliably even at enterprise scale. In it, you’ll learn how to clarify user intent using LLMs, respond accurately to unanticipated input, and use Retrieval Augmented Generation to keep responses up to date. Along the way, you’ll discover how to establish a feedback loop for continuous quality improvement and master techniques to integrate GenAI safely into conventional chatbot designs.
What's Inside
- Blend Generative AI and conventional chatbot tools
- Use LLMs to improve quality, accuracy, and usability
- Plan for continuous improvement
- Domain-specific responses using RAG
About the Reader
For developers, engineers, and product managers working with conversational AI.
About the Authors
Andrew Freed, Cari Jacobs, and Enikő Rózsa are seasoned conversational AI developers with IBM.
Quotes
A wonderful comprehensive guide written by individuals who have walked the AI conversational implementation journey into production.
- Sara Hines, AI innovation pioneer
Cuts through the hype and focuses on what really matters.
- Jerry Cuomo, IBM
A blueprint for building and measuring effective conversational AI systems.
- Corville Allen, Google
An invaluable resource for anyone looking to drive success with AI-driven conversations.
- Marc Nehme, Microsoft