• views: 145
• date: 3 June 2025
• posted by: 0nelove

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



   
   
   

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