Artificial Intelligence and Large Language Models: A Scientific Perspective
暫譯: 人工智慧與大型語言模型：科學觀點
Moallem, Abbas, Degen, Helmut, Ntoa, Stavroula
- 出版商: CRC
- 出版日期: 2026-03-11
- 售價: $7,200
- 貴賓價: 9.8 折 $7,056
- 語言: 英文
- 頁數: 332
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032775122
- ISBN-13: 9781032775128
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相關分類:
Large language model
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相關主題
商品描述
With the latest developments in generative artificial intelligence (AI) and large language model (LLM) applications, like ChatGPT and Gemini, millions of people have started using them in their personal and professional lives. Interest in them continues to grow and they are becoming the go-to applications for students, academics, engineers, lawyers, designers, writers, media experts, programmers, politicians, artists, and citizens across the globe. However, understanding these applications can be challenging with little advice out there. This book cuts through the jargon to explain the 'what', 'why' and 'how' of generative AI and LLM applications.
This book summarizes experiences from a variety of applications, relevant to our daily lives. It brings together scientific-based experience reports from different perspectives into a one-stop resource. With an international outlook and featuring global case studies, it offers insights into the beneficial use of LLMs and generative AI including future trends for how the journey of using such amazing tools will continue in the future. This book details the history of AI, reviews LLM literature and covers neural computing and the technical foundation of LLMs. Furthermore, the use and control of LLMs in education is covered. Through reading this book, the reader will develop a full understanding of AI and LLM applications, including knowledge of the key issues of trust, legality, security and technical foundations.
Artificial Intelligence and Large Language Models: A Scientific Perspective will appeal to students and academics, as well as people interested in the use of LLMs and generative AI for professional or everyday tasks, including those in Human Factors, Human-Computer Interaction, Computer Science, Software Engineering and Industrial Engineering.
商品描述(中文翻譯)
隨著生成式人工智慧（AI）和大型語言模型（LLM）應用的最新發展，例如 ChatGPT 和 Gemini，數百萬人已經開始在他們的個人和專業生活中使用這些工具。對這些應用的興趣持續增長，並且它們正成為全球學生、學者、工程師、律師、設計師、作家、媒體專家、程式設計師、政治家、藝術家和公民的首選應用。然而，理解這些應用可能會很具挑戰性，因為相關的建議不多。本書深入淺出地解釋了生成式 AI 和 LLM 應用的「什麼」、「為什麼」和「如何」。
本書總結了來自各種應用的經驗，這些應用與我們的日常生活息息相關。它將來自不同視角的基於科學的經驗報告整合成一個一站式資源。以國際視野和全球案例研究為特色，本書提供了對 LLM 和生成式 AI 有益使用的見解，包括未來趨勢，探討如何在未來繼續使用這些驚人的工具。本書詳細介紹了 AI 的歷史，回顧了 LLM 文獻，並涵蓋了神經計算和 LLM 的技術基礎。此外，還探討了 LLM 在教育中的使用和控制。通過閱讀本書，讀者將全面了解 AI 和 LLM 應用，包括信任、合法性、安全性和技術基礎等關鍵問題的知識。
人工智慧與大型語言模型：科學視角 將吸引學生和學者，以及對 LLM 和生成式 AI 在專業或日常任務中使用感興趣的人士，包括人因工程、人機互動、計算機科學、軟體工程和工業工程等領域的人。
作者簡介
Abbas Moallem is a Consultant and Adjunct Professor at San Jose State University, California, USA, where he teaches courses in human-computer interaction, cybersecurity, information visualization, and human factors. He serves as the Program Chair of HCI-CPT: The International Conference on HCI for Cybersecurity, Privacy, and Trust, and is the Chair for the International Conference on Human Factors in Cybersecurity. Dr. Moallem has worked with and consulted for numerous organizations, including PeopleSoft, Oracle Corporation, Tumbleweed, Axway, Applied Materials, Lam Research, and ASM International. His consulting expertise spans a variety of industries across Europe, Canada, and the United States. He is the editor of Human-Computer Interaction and Cybersecurity Handbook (2024) and Smart and Intelligent Systems (2024), and the author of Cybersecurity Awareness Among College Students and Faculty (2019), Understanding Cybersecurity Technologies (2024) and Human Factors Analysis of 23 Cyberattacks (2025), all published by CRC Press. Additionally, Dr. Moallem is the editor of a book series from CRC Press titled The Human Element in Smart and Intelligent Systems.
Helmut Degen is a Senior Key Expert for User Experience at Siemens Corporation in Princeton, NJ, USA. His research focuses on the intersection of trust, value, and efficiency in human-computer interaction, with a particular emphasis on explainable artificial intelligence (XAI). At Siemens, he leads initiatives that explore how AI systems can be made trustworthy and user-centric. Helmut also serves as co-chair of the annual international conference "AI in HCI," affiliated with the HCI International Conference. He holds a Master of Science degree from the Karlsruhe Institute of Technology, Germany, and earned his Ph.D. in Information Science from the Freie Universität Berlin, Germany.
Stavroula Ntoa is a Computer Scientist specialising in Design for All, software accessibility, usability engineering, and User Experience (UX) research and design. She is a Principal Researcher at the HCI Laboratory of the Institute of Computer Science of the Foundation for Research and Technology - Hellas (ICS-FORTH), Greece, leading the accessible UX research and design activities of the lab. Her research interests focus on Design for All and Universal Access of modern interactive technologies, adaptive and intelligent interfaces, as well as inclusiveness and user experience research in intelligent and Artificial Intelligence environments. She serves as co-chair of the annual International Conference "AI in HCI," affiliated with the HCI International Conference.
作者簡介(中文翻譯)
阿巴斯·莫阿勒姆是美國加州聖荷西州立大學的顧問及兼任教授，教授人機互動、網路安全、資訊視覺化及人因工程等課程。他擔任HCI-CPT：國際人機互動會議，專注於網路安全、隱私與信任的計畫主席，並且是國際網路安全人因會議的主席。莫阿勒姆博士曾與多個組織合作及提供諮詢服務，包括PeopleSoft、Oracle Corporation、Tumbleweed、Axway、Applied Materials、Lam Research及ASM International。他的諮詢專業涵蓋歐洲、加拿大及美國的多個行業。他是《人機互動與網路安全手冊》（2024）及《智慧與智能系統》（2024）的編輯，並且是《大學學生與教職員的網路安全意識》（2019）、《理解網路安全技術》（2024）及23次網路攻擊的人因分析（2025）的作者，這些書籍均由CRC Press出版。此外，莫阿勒姆博士還是CRC Press出版的系列書籍《智慧與智能系統中的人類元素》的編輯。
赫爾穆特·德根是美國新澤西州普林斯頓的西門子公司的用戶體驗高級關鍵專家。他的研究專注於人機互動中信任、價值與效率的交集，特別強調可解釋的人工智慧（XAI）。在西門子，他領導探索如何使AI系統變得可信且以用戶為中心的倡議。赫爾穆特還擔任年度國際會議「AI in HCI」的共同主席，該會議與HCI國際會議相關聯。他擁有德國卡爾斯魯厄理工學院的碩士學位，並在德國柏林自由大學獲得資訊科學博士學位。
斯塔夫魯拉·恩托亞是一位專注於「為所有人設計」的計算機科學家，專長於軟體可及性、可用性工程及用戶體驗（UX）研究與設計。她是希臘研究與技術基金會計算機科學研究所（ICS-FORTH）人機互動實驗室的首席研究員，負責實驗室的可及性UX研究與設計活動。她的研究興趣集中在現代互動技術的「為所有人設計」及普遍可及性、適應性與智能界面，以及在智能和人工智慧環境中的包容性與用戶體驗研究。她擔任年度國際會議「AI in HCI」的共同主席，該會議與HCI國際會議相關聯。
