Effective Conversational AI Chatbots that work (Andrew Freed, Cari Jacobs, Enikő Rózsa) (Z-Library)

作者: Andrew Freed, Cari Jacobs, Enikő Rózsa

科学

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! 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.

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