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This book provides an up-to-date and easy-to-read introduction to Generative AI and its revolutionary contribution to building Industry 5.0. Written for both practitioners and interested readers, it is a clear and compelling overview of the technologies at the heart of the next industrial revolution.
Part one introduces the conceptual notions behind generative models, large language models (LLMs), and the neural networks that drive them. It delves into the mathematical and conceptual foundations of Generative AI, transformer architecture, and the practical applications of language and vision models. The second half links the innovations to Industry 5.0, discussing digital twins, predictive maintenance, DevOps, and cybersecurity in intelligent systems. It encompasses real-world applications of AI in areas such as finance, manufacturing, and smart infrastructure. Case studies, like the application of generative models in FinTech and blockchain adoption, underscore how AI is already transforming business and society around the world.
The book is perfect for students, researchers, and practitioners of AI, data science, and industrial systems interested in comprehending the theory and practical applications of Generative AI. It also benefits educators and policy makers who wish to lead in cutting-edge technological advancements, with emphasis on responsible, secure, and human-oriented AI applications for a brighter future.
List of contents
1. Generative and Open AI
2. Decoding the Generative Transformer: Core of Gen AI
3. The Language Understanding using Large Language Models
4. Generative AI for Industry 5.0: The Role of Diffusion Models in Next-Generation Landscapes
5. Software Engineering Reimagined and Development
6. The Evolution of Industry: From 1.0 to 5.0
7. System & Design Perspective for Industry 5.0
8. Security Paradigm for Industry 5.0
9. Generative AI for FinTech10. Mirror Reality: Exploring realm of Digital Twin Systems
11. Cloud-Powered Intelligence: Integrating Generative AI for Scalable Innovation in Industry 5.0
12. Ethical and Regulatory Aspects of AI in Industry 5.0
13.The Trust Fabric: AI, Agents & Cybersecurity in Industry 5.0
14. AI-Assisted Smart Energy Infrastructure for a Sustainable Industry 5.0 to Support Virtual Power Plant
15. Self-Evolving Twins: Shaping Ethical, Resilient, and Human-Centered Industry 5.0
16. Graph Neural Networks in Industry 5.0: Smart Connectivity and Predictive Intelligence
17. Automated Documentation Using Generative AI in Version-Controlled Projects
About the author
Sangeeta Sharma is an Assistant Professor in the department of CSE at NIT Hamirpur, Himachal Pradesh, India. She received her Ph.D. in Computer Science from MANIT Bhopal in 2017. Her research interests include virtualization technologies, cloud computing, AI/ML, Federated Learning, and distributed systems, with a focus on efficient and scalable resource management.
Robin Singh Bhadoria is an Assistant Professor in the department of CSE at NIT Hamirpur, Himachal Pradesh, India. He specializes in Big Data Analytics, IoT, Machine Learning, and Wireless Networks. He holds a Ph.D. from IIT Indore and M.Tech (Gold Medalist) from RGPV Bhopal in CSE.
Mukesh Kumar Giluka is an Assistant Professor in School of Engineering, Jawaharlal Nehru University, New Delhi, India. He earned his Ph.D. from IIT Hyderabad. His research interests are in the areas of Application of AI/ML, 5G/6G Networks and Open RAN.
