LEADER 03752nam 22005895 450 001 9910992778603321 005 20250326115255.0 010 $a3-031-82062-2 024 7 $a10.1007/978-3-031-82062-5 035 $a(CKB)38124956300041 035 $a(DE-He213)978-3-031-82062-5 035 $a(MiAaPQ)EBC31978573 035 $a(Au-PeEL)EBL31978573 035 $a(EXLCZ)9938124956300041 100 $a20250326d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGenerative AI: Techniques, Models and Applications /$fby Rajan Gupta, Sanju Tiwari, Poonam Chaudhary 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (XXV, 242 p. 25 illus., 16 illus. in color.) 225 1 $aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v241 311 08$a3-031-82061-4 327 $aIntroduction to Artificial Intelligence -- Computational Foundation of Generative AI Models -- Generative AI Techniques and Models -- Foundation Models -- Large Language Models -- Large Generative Models for Different Data Types -- Prompt Engineering -- Applications of Generative AI Models -- Ethics, Governance, Security and Privacy -- Fairness and Biases in Generative AI. 330 $aThis book unlocks the full potential of modern AI systems through a meticulously structured exploration of concepts, techniques, and practical applications. This comprehensive book bridges theoretical foundations with real-world implementations, offering readers a unique perspective on the rapidly evolving field of generative technologies. From computational foundations to ethical considerations, the book systematically covers essential topics including foundation models, large-scale architectures, prompt engineering, and practical applications. The content seamlessly integrates complex technical concepts with industry-relevant examples, making it an invaluable resource for researchers, academicians, and practitioners. Distinguished by its balanced approach to theory and practice, this book serves as both a learning tool and reference guide. Readers will benefit from: Clear explanations of advanced concepts. Practical implementation insights. Current industry applications. Ethical framework discussions. Whether you're conducting research, implementing solutions, or exploring the field, this book provides the knowledge necessary to understand and apply generative AI technologies effectively while considering crucial aspects of security, privacy, and fairness. 410 0$aLecture Notes on Data Engineering and Communications Technologies,$x2367-4520 ;$v241 606 $aComputational intelligence 606 $aEngineering$xData processing 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aData Engineering 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aEngineering$xData processing. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aData Engineering. 615 24$aArtificial Intelligence. 676 $a006.3 700 $aGupta$b Rajan$4aut$4http://id.loc.gov/vocabulary/relators/aut$01802778 702 $aTiwari$b Sanju$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aChaudhary$b Poonam$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910992778603321 996 $aGenerative AI: Techniques, Models and Applications$94348995 997 $aUNINA