Demystifying Generative AI: A Practical and Intuitive Introduction
暫譯: 揭開生成式人工智慧的神秘面紗：實用且直觀的入門指南
Barton, Robert, Henry, Jerome
- 出版商: Addison Wesley
- 出版日期: 2026-01-17
- 售價: $1,950
- 貴賓價: 9.5 折 $1,852
- 語言: 英文
- 頁數: 448
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0135429412
- ISBN-13: 9780135429419
-
相關分類:
Large language model
海外代購書籍(需單獨結帳)
相關主題
商品描述
Demystifying Generative AI: A Practical and Intuitive Introduction
In an era where artificial intelligence is rapidly reshaping the world and redefining the way we work, Demystifying Generative AI: A Practical and Intuitive Introduction emerges as a key resource for professionals and enthusiasts seeking to leverage the transformative power of AI. Authored by AI experts Robert Barton and Jerome Henry, this book is a unique entry into the world of AI. Unlike traditional references that are either too technical or overly simplistic, this book strikes a balance by providing clear explanations and practical examples, all supported by real-world case studies. It is designed as an intuitive guide through the inner workings of AI, from foundational principles to deployment and security best practices. It is designed to make generative AI accessible to anyone interested in learning more about AI, including IT professionals, software developers, business analysts, tech managers, educators, and decision-makers. Rob and Jerome address the surging demand for AI literacy as organizations invest heavily in AI-driven solutions, aiming to boost productivity and maintain a competitive edge.
Key Topics:
- Foundations of AI: A historical and conceptual overview of artificial intelligence, including essential terminology and the broader AI landscape.
- How Generative AI Actually Works: An in-depth and intuitive analysis of LLMs, from the origins of language modeling into the modern world of Transformers and their applications.
- Unique Approach: Balances depth and accessibility, focusing on intuitive understanding with examples, adding practical application rather than dense theory or superficial summaries.
- Practical Applications: Features how GenAI and LLMs can be deployed in practices, using applications like RAG, fine-tuning techniques, and how to security LLMs from attack.
- Comprehensive Coverage: Covers foundational AI concepts, machine learning (classic and advanced), deep learning, large language models, Transformers, AI infrastructure, agentic AI systems, ethical considerations, security for LLMs, and deployment strategies.
Demystifying Generative AI emphasizes the growing necessity of AI literacy in a technology-driven world. By demystifying generative AI and equipping readers with both theoretical grounding and practical tools, the book aims to empower individuals and organizations to succeed in the era of intelligent automation. With its expert authorship and accessible format, this book is an essential resource for navigating the next wave of innovation.
商品描述(中文翻譯)
揭開生成式人工智慧的神秘面紗：實用且直觀的入門指南
在人工智慧迅速重塑世界並重新定義我們工作方式的時代，揭開生成式人工智慧的神秘面紗：實用且直觀的入門指南 成為專業人士和愛好者尋求利用人工智慧變革力量的關鍵資源。這本書由人工智慧專家 Robert Barton 和 Jerome Henry 共同撰寫，是進入人工智慧世界的獨特著作。與傳統的參考書籍不同，這些書籍要麼過於技術性，要麼過於簡化，這本書則在提供清晰解釋和實用範例之間取得平衡，並以真實案例研究作為支持。它旨在作為一個直觀的指南，帶領讀者了解人工智慧的內部運作，從基礎原則到部署和安全最佳實踐。這本書旨在讓任何對人工智慧感興趣的人都能輕鬆接觸生成式人工智慧，包括 IT 專業人士、軟體開發人員、商業分析師、技術經理、教育工作者和決策者。Rob 和 Jerome 回應了隨著組織大量投資於人工智慧驅動解決方案而對人工智慧素養日益增長的需求，旨在提升生產力並保持競爭優勢。
主要主題：
-
人工智慧的基礎： 人工智慧的歷史和概念概述，包括基本術語和更廣泛的人工智慧領域。 -
生成式人工智慧的實際運作： 對大型語言模型（LLMs）的深入且直觀的分析，從語言建模的起源到現代的 Transformers 及其應用。 -
獨特的方法： 在深度和可接觸性之間取得平衡，專注於直觀理解，並通過範例增加實用應用，而非密集的理論或表面的總結。 -
實用應用： 展示如何在實踐中部署生成式人工智慧和大型語言模型，使用 RAG、微調技術以及如何保護大型語言模型免受攻擊。 -
全面覆蓋： 涵蓋基礎的人工智慧概念、機器學習（經典和進階）、深度學習、大型語言模型、Transformers、人工智慧基礎設施、代理式人工智慧系統、倫理考量、大型語言模型的安全性以及部署策略。
揭開生成式人工智慧的神秘面紗 強調在技術驅動的世界中，人工智慧素養日益增長的必要性。通過揭開生成式人工智慧的神秘面紗，並為讀者提供理論基礎和實用工具，本書旨在賦予個人和組織在智能自動化時代中成功的能力。憑藉其專家的作者和可接觸的格式，這本書是導航下一波創新不可或缺的資源。
作者簡介
Robert Barton is a Cisco Distinguished AI Engineer with Cisco's AI Software Engineering Group. A graduate of the University of British Columbia in Engineering Physics, he has extensive expertise in networking, cybersecurity, and AI. Rob has authored books on AI, Wi-Fi networks, quality of service, and the Internet of Things (IoT). He has also co-authored numerous peer-reviewed research papers and holds patents in areas such as cybersecurity, cloud networking, and AI/machine learning. As the leader of Cisco's AI research program, which collaborates with top universities around the globe, Rob is helping drive both research and innovation for academia and industry. He is also a sought-after public speaker at international AI and computer networking conferences and events.
Jerome Henry is a Distinguished Engineer at Cisco Systems. A lead researcher in the CTO group, he started embracing AI and generative AI when they were conversation topics only between likeminded peer researchers, in years when access to powerful-enough GPUs was available only to elite groups. By developing new techniques to make AI applicable to several fields of physics and communications, Jerome has contributed to making AI and GenAI mainstream. He holds more than 500 patents, many of them in innovative AI and GenAI schemes, and has authored multiple books on topics ranging from networking, to IoT, to AI. He is based in Research Triangle Park, North Carolina.
作者簡介(中文翻譯)
羅伯特·巴頓（Robert Barton）是思科（Cisco）AI 軟體工程團隊的傑出 AI 工程師。他畢業於不列顛哥倫比亞大學（University of British Columbia），主修工程物理，擁有廣泛的網路、網路安全和 AI 專業知識。羅伯特撰寫了有關 AI、Wi-Fi 網路、服務品質和物聯網（IoT）的書籍。他還共同撰寫了多篇經過同行評審的研究論文，並在網路安全、雲端網路和 AI/機器學習等領域擁有專利。作為思科 AI 研究計畫的負責人，他與全球頂尖大學合作，推動學術界和產業界的研究與創新。他也是國際 AI 和計算機網路會議及活動中備受追捧的演講者。
傑羅姆·亨利（Jerome Henry）是思科系統（Cisco Systems）的傑出工程師。他是首席技術官（CTO）團隊的首席研究員，早在 AI 和生成式 AI 僅是志同道合的同行研究者之間的對話主題時，他便開始接觸這些技術，那時候只有精英團體才能獲得足夠強大的 GPU。通過開發新技術，使 AI 能夠應用於多個物理和通信領域，傑羅姆為使 AI 和生成式 AI 成為主流做出了貢獻。他擁有超過 500 項專利，其中許多涉及創新的 AI 和生成式 AI 計畫，並撰寫了多本有關網路、物聯網和 AI 的書籍。他目前居住在北卡羅來納州的研究三角公園（Research Triangle Park）。
