Introduction to Generative AI: Theoretical Foundations, Analysis and Practical Use Cases
暫譯: 生成式人工智慧導論：理論基礎、分析與實務案例

Murthy, Jamuna S., G. M., Siddesh

Introduction to Generative AI: Theoretical Foundations, Analysis and Practical Use Cases
  • 出版商: CRC
  • 出版日期: 2026-07-21
  • 售價: $4,130
  • 貴賓價: 9.5 折 $3,923
  • 語言: 英文
  • 頁數: 378
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032988487
  • ISBN-13: 9781032988481
  • 相關分類: GAN 生成對抗網絡

    • 尚未上市，無法訂購

商品描述

Introduction to Generative AI: Theoretical Foundations, Analysis and Practical Use Cases

Generative Artificial Intelligence is reshaping how we create, learn, and imagine.
This book offers a clear and complete journey through the science and art behind this revolution -- from how machines learn to produce text, images, and music, to how they are being built, tested, and applied in the real world.

The first part of the book lays out the ideas that make generative AI possible -- neural networks, transformers, diffusion models, and the mysterious "latent spaces" where creativity meets computation. The middle chapters explore how today's AI systems reason, plan, and use tools, drawing on powerful frameworks such as LangChain, LangGraph, and AutoGen. The final section moves beyond algorithms, discussing how to build safe, fair, and energy-conscious AI that serves human goals rather than replacing them.

Throughout, real-world examples bring the technology to life -- from language models that write poetry, to multimodal systems that can paint or compose music, to intelligent agents that collaborate with humans in research, education, and design. Written in accessible language and supported by visual explanations, this book bridges deep technical ideas with human-centered understanding.

Highlights

  • Explains the core principles of how generative models think and create
  • Shows how AI systems combine text, vision, and sound in unified ways
  • Connects theory with hands-on applications and real-world use cases
  • Discusses ethics, creativity, and sustainability in the age of intelligent machines
  • Written for learners, researchers, and professionals who want both clarity and depth

Introduction to Generative AI: Theoretical Foundations, Analysis and Practical Use Cases is an essential guide for anyone curious about how artificial intelligence is shaping the next chapter of human innovation.

商品描述(中文翻譯)

生成式人工智慧簡介：理論基礎、分析與實務案例

生成式人工智慧正在重塑我們創造、學習和想像的方式。這本書提供了一個清晰且完整的旅程，探索這場革命背後的科學與藝術——從機器如何學習生成文本、圖像和音樂，到它們如何被構建、測試和應用於現實世界。

本書的第一部分闡述了使生成式人工智慧成為可能的理念——神經網絡、變壓器、擴散模型，以及創造力與計算相遇的神秘「潛在空間」。中間章節探討當今的人工智慧系統如何推理、計劃和使用工具，借助強大的框架如 LangChain、LangGraph 和 AutoGen。最後一部分超越算法，討論如何構建安全、公平且注重能源的人工智慧，以服務人類的目標，而非取代它們。

整本書通過真實世界的例子使技術生動起來——從寫詩的語言模型，到能夠繪畫或作曲的多模態系統，再到在研究、教育和設計中與人類合作的智能代理。這本書以易於理解的語言撰寫，並輔以視覺解釋，將深奧的技術理念與以人為本的理解橋接起來。

重點


  • 解釋生成模型思考和創造的核心原則

  • 展示人工智慧系統如何以統一的方式結合文本、視覺和聲音

  • 將理論與實踐應用和真實世界案例相連接

  • 討論智能機器時代的倫理、創造力和可持續性

  • 為希望獲得清晰與深度的學習者、研究者和專業人士而寫

生成式人工智慧簡介：理論基礎、分析與實務案例 是一本對於任何對人工智慧如何塑造人類創新下一章感到好奇的讀者來說，都是必備的指南。

作者簡介

Jamuna S. Murthy is currently working as an Assistant Professor in the Department of Computer Science and Engineering at Ramaiah Institute of Technology, Bengaluru. An academic topper throughout her education, she received the Best Master's Thesis Award (2017) for her M.Tech dissertation on real-time sentiment analysis. She also secured funding from the Department of Science and Technology (DST), India (2021-2022) for FitQua: Smart Water Bottle, an AI-powered health monitoring product. She has authored and edited multiple scholarly works, including serving as editor of the book Cloud Security: Concepts, Applications and Practices (CRC Press, 2024). Her research contributions appear in SCI-indexed journals and international collaborations with institutions in the USA, China, and Europe. In recognition of her contributions to emerging fields in AI, she was honoured with the Best Young Researcher Award (2024) by the STEM Research Society. Jamuna is actively engaged in the global research community as a reviewer and program committee member for leading A*-ranked conferences, including AAAI, AISTATS, ACM Multimedia, and AVSS. Her primary expertise lies in Generative Artificial Intelligence, focusing on multimodal generation, diffusion models, affective computing, and computer vision. She is committed to advancing human centered AI through both theoretical innovation and impactful applications.

Siddesh G. M. is currently working as Professor and Head in the Department of CSE( AI&ML) and CSE(Cyber Security), M. S. Ramaiah Institute of Technology, Bangalore. He has published a good number of research papers in reputed International Conferences and Journals. His main areas of research interests include the Internet of Things, Distributed Computing and Data Analytics. He is a member of ISTE, IETE, etc.

作者簡介(中文翻譯)

**Jamuna S. Murthy** 目前在班加羅爾的拉馬亞科技學院（Ramaiah Institute of Technology）計算機科學與工程系擔任助理教授。在她的教育過程中一直名列前茅，並因其關於即時情感分析的碩士論文獲得最佳碩士論文獎（2017年）。她還獲得了印度科學與技術部（DST）在2021至2022年間的資助，用於開發 FitQua：智能水瓶，這是一款基於人工智慧的健康監測產品。她撰寫和編輯了多部學術著作，包括擔任書籍《雲安全：概念、應用與實踐》（Cloud Security: Concepts, Applications and Practices，CRC Press，2024）的編輯。她的研究成果發表在SCI索引的期刊上，並與美國、中國和歐洲的機構進行國際合作。因其在人工智慧新興領域的貢獻，她於2024年獲得STEM研究學會頒發的最佳青年研究者獎。Jamuna 積極參與全球研究社群，擔任多個頂尖A*級會議的審稿人和程序委員會成員，包括AAAI、AISTATS、ACM Multimedia和AVSS。她的主要專長在於生成式人工智慧，專注於多模態生成、擴散模型、情感計算和計算機視覺。她致力於通過理論創新和有影響力的應用推進以人為中心的人工智慧。

**Siddesh G. M.** 目前在班加羅爾的M. S. 拉馬亞科技學院（M. S. Ramaiah Institute of Technology）擔任計算機科學與工程系（CSE）人工智慧與機器學習（AI&ML）及網路安全（Cyber Security）系主任和教授。他在多個知名國際會議和期刊上發表了大量研究論文。他的主要研究興趣包括物聯網、分散式計算和數據分析。他是ISTE、IETE等組織的成員。

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