相關主題
商品描述
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! Foreword by Jesús Mantas. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. 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 author Andrew Freed, Cari Jacobs, and Eniko Rózsa are seasoned conversational AI developers with IBM. Table of Contents Part 1
1 What makes conversational AI work?
2 Building a conversational AI
3 Planning for improvement
Part 2
4 Understanding what your users really want
5 Improving weak understanding for traditional AI
6 Enhancing responses with retrieval-augmented generation
7 Augmenting intent data with generative AI
Part 3
8 Streamlining complex flows
9 Harnessing context for an adaptive virtual assistant experience
10 Reducing complexity with generative AI
Part 4
11 Reducing opt-outs
12 Conversational summarization for smooth handoff
- 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! Foreword by Jesús Mantas. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. 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 author Andrew Freed, Cari Jacobs, and Eniko Rózsa are seasoned conversational AI developers with IBM. Table of Contents Part 1
1 What makes conversational AI work?
2 Building a conversational AI
3 Planning for improvement
Part 2
4 Understanding what your users really want
5 Improving weak understanding for traditional AI
6 Enhancing responses with retrieval-augmented generation
7 Augmenting intent data with generative AI
Part 3
8 Streamlining complex flows
9 Harnessing context for an adaptive virtual assistant experience
10 Reducing complexity with generative AI
Part 4
11 Reducing opt-outs
12 Conversational summarization for smooth handoff
商品描述(中文翻譯)
創建和改善對話式人工智慧，使用最新的模式、最佳實踐和工具，包括生成式人工智慧模型。
對話式人工智慧（CAI）工具是為了解決問題而建立的，但它們往往會給用戶和開發者帶來困擾！有效的對話式人工智慧揭示了創建可靠的企業級聊天機器人和對話式人工智慧工具的最佳實踐和行業驗證技術。通過本書中的經過驗證的想法和範例，您將學會構建客戶和同事實際想要使用的聊天機器人！ 在有效的對話式人工智慧中，您將學會如何： - 創建高品質的聊天機器人和其他對話式人工智慧體驗- 計劃持續改進
- 整合生成式人工智慧解決方案以提高質量、準確性和可用性
- 評估用戶體驗和商業結果 有效的對話式人工智慧介紹了對於聊天機器人和CAI工具不斷改進和演變至關重要的持續改進實踐。它介紹了三種最常見的聊天機器人形式——問答型、流程導向型和路由代理——並提供了一個可靠的框架來持續改進每一種形式。使用現代生成式人工智慧和經過驗證的經典方法，您將學會提供高效能的聊天機器人，能夠引導客戶完成複雜的端到端任務——無需人類介入！ 前言由Jesús Mantas撰寫。 購買印刷版書籍可獲得Manning Publications提供的免費PDF和ePub格式電子書。 關於技術 強大的新聊天機器人框架和生成式人工智慧模型幾乎可以消除誤解用戶意圖和提供無意義答案等問題。在本書中，您將學會如何構建利用大型語言模型和其他現代工具的聊天機器人，並創造用戶喜愛的對話式人工智慧體驗。 關於本書 有效的對話式人工智慧教您如何構建在企業級別上也能可靠運行的優秀聊天機器人。在書中，您將學會如何使用LLMs澄清用戶意圖，準確回應意外輸入，並使用檢索增強生成（Retrieval Augmented Generation）保持回應的最新性。在此過程中，您將發現如何建立持續質量改進的反饋循環，並掌握安全地將生成式人工智慧整合到傳統聊天機器人設計中的技術。 內容概覽 - 結合生成式人工智慧和傳統聊天機器人工具
- 使用LLMs提高質量、準確性和可用性
- 計劃持續改進
- 使用RAG進行特定領域的回應 讀者對象 針對從事對話式人工智慧的開發者、工程師和產品經理。 作者介紹 Andrew Freed、Cari Jacobs和Eniko Rózsa是IBM的資深對話式人工智慧開發者。 目錄 第一部分
1 什麼使對話式人工智慧有效？
2 建立對話式人工智慧
3 計劃改進
第二部分
4 理解用戶真正想要什麼
5 改善傳統人工智慧的弱理解
6 使用檢索增強生成提升回應
7 使用生成式人工智慧增強意圖數據
第三部分
8 簡化複雜流程
9 利用上下文提供自適應虛擬助手體驗
10 使用生成式人工智慧降低複雜性
第四部分
11 減少選擇退出
12 進行平滑交接的對話式摘要
作者簡介
Andrew Freed is a Distinguished Engineer and a Conversational AI delivery architect who has successfully delivered multi-million-dollar CAI contracts. He is the author of Conversational AI (Manning). Eniko Rozsa is a Distinguished Engineer and leads a Conversational AI delivery practice and is chief architect of a "Conversational Insights" tool used to analyze and improve Conversational AI. She has invented and designed her first Conversational AI solution in 2008, before it was productized and delivered to Fortune 500 clients. Cari Jacobs is an expert Conversational AI delivery specialist with a series of articles on Medium.com (https: //medium.com/@heyitscari). She is a delivery practice lead and designs, implements, and improves conversational AI solutions for Fortune 500 clients.
作者簡介(中文翻譯)
安德魯·弗里德（Andrew Freed）是一位傑出工程師及對話式人工智慧（Conversational AI）交付架構師，成功交付了數百萬美元的CAI合約。他是對話式人工智慧（Conversational AI）（Manning）的作者。
恩妮可·羅莎（Eniko Rozsa）是一位傑出工程師，負責領導對話式人工智慧交付實踐，並擔任「對話洞察」（Conversational Insights）工具的首席架構師，該工具用於分析和改善對話式人工智慧。她在2008年發明並設計了她的第一個對話式人工智慧解決方案，並在產品化後交付給《財富》500強客戶。卡莉·雅各布斯（Cari Jacobs）是一位專家級的對話式人工智慧交付專家，並在Medium.com上發表了一系列文章（https://medium.com/@heyitscari）。她是交付實踐的負責人，為《財富》500強客戶設計、實施和改善對話式人工智慧解決方案。
