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
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.
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. Introduction to Generative AI: Theoretical Foundations, Analysis and Practical Use CasesGenerative 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 todays 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.HighlightsExplains the core principles of how generative models think and createShows how AI systems combine text, vision, and sound in unified waysConnects theory with hands-on applications and real-world use casesDiscusses ethics, creativity, and sustainability in the age of intelligent machinesWritten for learners, researchers, and professionals who want both clarity and depthIntroduction 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. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032988481
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9781032988481
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9781032988481
Quantity: Over 20 available
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9781032988481
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. Seller Inventory # B9781032988481
Quantity: 1 available
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Seller Inventory # 408920402
Quantity: 3 available
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. Seller Inventory # 26405282445
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. Seller Inventory # 18405282439
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. Introduction to Generative AI: Theoretical Foundations, Analysis and Practical Use CasesGenerative 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 todays 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.HighlightsExplains the core principles of how generative models think and createShows how AI systems combine text, vision, and sound in unified waysConnects theory with hands-on applications and real-world use casesDiscusses ethics, creativity, and sustainability in the age of intelligent machinesWritten for learners, researchers, and professionals who want both clarity and depthIntroduction 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781032988481
Quantity: 1 available
Seller: moluna, Greven, Germany
Condition: New. 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. Seller Inventory # 2771454319
Quantity: Over 20 available