Transforming Conversational AI: Exploring the Power of Large Language Models in Interactive Conversational Agents
暫譯: 轉型對話式人工智慧：探索大型語言模型在互動對話代理中的力量

McTear, Michael, Ashurkina, Marina

Transforming Conversational AI: Exploring the Power of Large Language Models in Interactive Conversational Agents
  • 出版商: Apress
  • 出版日期: 2024-02-25
  • 售價: $1,740
  • 貴賓價: 9.5 折 $1,653
  • 語言: 英文
  • 頁數: 228
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868801099
  • ISBN-13: 9798868801099
  • 相關分類: LangChain、人工智慧、Text-mining

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Acquire the knowledge needed to work effectively in conversational artificial intelligence (AI) and understand the opportunities and threats it can potentially bring. This book will help you navigate from the traditional world of dialogue systems that revolve around hard coded scripts, to the world of large language models, prompt engineering, conversational AI platforms, multi-modality, and ultimately autonomous agents.

In this new world, decisions are made by a system that may forever remain a 'black box' for most of us. This book aims to eliminate unnecessary noise and describe the fundamental components of conversational AI. Past experiences will prove invaluable in constructing seamless hybrid systems. This book will provide the most recommended solutions, recognizing that it is not always necessary to blindly pursue new tools.

Written in unprecedented and turbulent times for conversational interfaces you'll see that despite previous waves of advancement in conversational technology, now conversational interfaces are gaining unparalleled popularity. Specifically, the release of ChatGPT in November 2022 by Open AI revolutionized the conversational paradigm and showed how easy and intuitive communication with a computer can be.

Old professions are being disrupted, new professions are emerging, and even the most conservative corporations are changing their strategy and experimenting with large language models, allocating an unprecedented amount of budget to these projects. No one knows for sure the exact future of conversational AI, but everyone agrees that it's here to stay.

What You'll Learn

  • See how large language models are constructed and used in conversational systems
  • Review the risks and challenges of new technologies in conversational AI
  • Examine techniques for prompt engineering
  • Enable practitioners to keep abreast of recent developments in conversational AI

Who This Book Is For

Conversation designers, product owners, and product or project managers in conversational AI who wish to learn about new methods and challenges posed by the recent emergence in the public domain of ChatGPT. Data scientists, final year undergraduates and graduates of computer science


商品描述(中文翻譯)

獲得在對話式人工智慧（AI）中有效工作的知識，並了解其可能帶來的機會和威脅。本書將幫助您從傳統的對話系統（圍繞著硬編碼腳本）轉向大型語言模型、提示工程、對話式AI平台、多模態，最終到達自主代理的世界。

在這個新世界中，決策由一個系統做出，對於我們大多數人來說，這個系統可能永遠是一個「黑箱」。本書旨在消除不必要的噪音，並描述對話式AI的基本組成部分。過去的經驗在構建無縫的混合系統中將是無價的。本書將提供最推薦的解決方案，認識到並不總是需要盲目追求新工具。

在對話介面的前所未有和動盪的時代中，您將看到儘管之前對話技術的進步浪潮，現在對話介面正獲得無與倫比的受歡迎程度。特別是2022年11月Open AI推出的ChatGPT徹底改變了對話範式，顯示了與計算機進行簡單直觀溝通的可能性。

舊的職業正在被顛覆，新職業正在出現，甚至最保守的公司也在改變其策略，並實驗大型語言模型，為這些項目分配前所未有的預算。沒有人能確定對話式AI的確切未來，但每個人都同意它將持續存在。

您將學到的內容：
- 了解大型語言模型是如何構建和在對話系統中使用的
- 回顧對話式AI中新技術的風險和挑戰
- 檢視提示工程的技術
- 使從業者能夠跟上對話式AI的最新發展

本書適合對象：
對話設計師、產品負責人以及希望了解ChatGPT最近在公共領域出現所帶來的新方法和挑戰的對話式AI產品或項目經理。數據科學家、計算機科學的最後一年本科生和畢業生。

作者簡介

Michael McTear is an emeritus professor of Ulster University who has worked in spoken dialogue technologies and conversational AI for more than 20 years. He is author of several books, including Spoken Dialogue Technology (SpringerLink, 2004), The Conversational Interface (SpringerLink, 2016), and Conversational AI (SpringerLink, 2020). Currently Michael is involved in several research and development projects investigating the use of conversational agents in socially relevant projects such as mental health monitoring and home monitoring of older adults. Michael's main motivation for writing this book is to bring new developments in conversational AI to the attention of conversation designers and other professionals in a clear and accessible manner.


Marina Ashurkina is Product Manager in Generative Assistants Inc., a US-based startup striving to streamline the creation of generative AI assistants. Marina studied linguistics and translation studies, she has over 8 years of experience working with dialog systems, including working in the company api.ai before it was acquired by Google and became Dialogflow, also she had her own consultancy Cherry.ai helping companies build smart assistants and worked on building a multi language voice assistant platform for Huawei. In 2020 Marina created and lectured on a conversation design course to 60 students with a focus on building skills for smart speakers. Besides that Marina is a certified Project Manager Professional, Scrum Master and Product Owner which helps her to set up and drive complex Conversational AI projects.


作者簡介(中文翻譯)

麥可·麥克提爾（Michael McTear）是阿爾斯特大學（Ulster University）的名譽教授，擁有超過20年的口語對話技術和對話式人工智慧（Conversational AI）研究經驗。他是多本書籍的作者，包括《口語對話技術》（Spoken Dialogue Technology，SpringerLink，2004年）、《對話介面》（The Conversational Interface，SpringerLink，2016年）和《對話式人工智慧》（Conversational AI，SpringerLink，2020年）。目前，麥可參與多個研究與開發專案，探討在社會相關專案中使用對話代理的應用，例如心理健康監測和老年人居家監測。麥可撰寫本書的主要動機是希望以清晰易懂的方式，將對話式人工智慧的新發展帶給對話設計師及其他專業人士的注意。

瑪麗娜·阿舒基娜（Marina Ashurkina）是美國初創公司Generative Assistants Inc.的產品經理，該公司致力於簡化生成式人工智慧助手的創建。瑪麗娜學習了語言學和翻譯學，擁有超過8年的對話系統工作經驗，包括在api.ai工作，該公司在被谷歌收購並成為Dialogflow之前，她還創立了自己的顧問公司Cherry.ai，幫助企業建立智能助手，並參與為華為構建多語言語音助手平台的工作。2020年，瑪麗娜創建並教授了一門針對60名學生的對話設計課程，重點在於培養智能揚聲器的技能。此外，瑪麗娜還是一名認證的專案管理專業人士（Project Manager Professional）、敏捷專案管理師（Scrum Master）和產品負責人（Product Owner），這幫助她設置和推動複雜的對話式人工智慧專案。

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