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出版商:
Springer
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出版日期:
2025-07-30
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售價:
$5,840
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貴賓價:
9.5 折
$5,548
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語言:
英文
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頁數:
283
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裝訂:
Hardcover - also called cloth, retail trade, or trade
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ISBN:
3031922840
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ISBN-13:
9783031922848
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相關分類:
Large language model、資訊科學
商品描述
The rapid advancement of generative AI and specifically large language models (LLMs) is transforming the landscape of information systems (IS) engineering by offering unprecedented opportunities to support their design, development, maintenance, and reengineering. Starting with an overview of LLM history and foundational concepts, the book delves into practical applications for IS design and development, including prompt engineering, retrieval augmented generation, and multi-agent systems. Through a detailed survey and step-by-step programming guidance, readers will learn how to implement tools leveraging LLMs effectively. The book also addresses ethical considerations, offering insights and guidelines for responsible AI integration. The book provides a comprehensive and unified framework for exploiting LLMs in IS engineering. It aims at both researchers in information systems or LLM development and advanced professionals who would like to know how to potentially apply LLMs in the development or maintenance of information systems.
商品描述(中文翻譯)
生成式人工智慧（generative AI）及大型語言模型（large language models, LLMs）的快速進展正在改變資訊系統（information systems, IS）工程的格局，提供前所未有的機會來支持其設計、開發、維護和再工程。這本書從 LLM 的歷史和基礎概念概述開始，深入探討 IS 設計和開發的實際應用，包括提示工程（prompt engineering）、檢索增強生成（retrieval augmented generation）和多代理系統（multi-agent systems）。透過詳細的調查和逐步的程式設計指導，讀者將學習如何有效地實施利用 LLM 的工具。書中還探討了倫理考量，提供負責任的人工智慧整合的見解和指導方針。這本書提供了一個全面且統一的框架，以便在 IS 工程中利用 LLM。它的目標對象包括資訊系統或 LLM 開發的研究人員，以及希望了解如何在資訊系統的開發或維護中潛在應用 LLM 的高級專業人士。
作者簡介
Francesca De Luzi is a postdoctoral researcher at Sapienza Università di Roma, Italy. Her recent research projects have focused on the use of AI techniques, particularly through the development of writing assistants to support operators in performing complex linguistic tasks by leveraging large language models. Flavia Monti is a postdoctoral researcher at Sapienza Università di Roma, Italy. Her research interests focus on Industry 4.0 and smart manufacturing, particularly the integration of computer vision, machine learning, and generative artificial intelligence to improve production quality, reduce costs, increase machinery uptime, and achieve zero-defect manufacturing. Massimo Mecella is a full professor at Sapienza Università di Roma, where he conducts research in the fields of information systems engineering, service-oriented computing, mobile and pervasive computing, process management, data and process mining, big data analytics and human-computer interaction, focusing on smart applications, environments and communities. He was the General Chair of CAiSE 2019, BPM 2021, and ICSOC 2023. In 2025, he is the PC co-Chair of IEEE CAI 2025. He is currently a member of the Steering Committees of the conference series CAiSE, ICSOC and SummerSOC.
作者簡介(中文翻譯)
Francesca De Luzi 是義大利羅馬薩賓納大學的博士後研究員。她最近的研究專案專注於使用人工智慧技術，特別是透過開發寫作助手，來支持操作員利用大型語言模型執行複雜的語言任務。 Flavia Monti 是義大利羅馬薩賓納大學的博士後研究員。她的研究興趣集中在工業4.0和智慧製造，特別是整合計算機視覺、機器學習和生成式人工智慧，以改善生產質量、降低成本、提高機器運行時間，並實現零缺陷製造。 Massimo Mecella 是義大利羅馬薩賓納大學的正教授，他的研究領域包括資訊系統工程、服務導向計算、行動與普遍計算、流程管理、數據與流程挖掘、大數據分析以及人機互動，專注於智慧應用、環境和社群。他曾擔任CAiSE 2019、BPM 2021和ICSOC 2023的總主席。2025年，他是IEEE CAI 2025的程序委員會共同主席。目前，他是CAiSE、ICSOC和SummerSOC會議系列的指導委員會成員。
