Generative AI: Techniques, Models and Applications (Lecture Notes on Data Engineering and Communications Technologies, 241)

This 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.

Dr. Rajan Gupta is an AI Professional with 15+ years of combined experience in AI/ML Product & Services Delivery, Analytical Research, Consulting, Training and Teaching in the field of Data Science and Computer Science. His core experience lies in embedding and operationalizing AI/ML into scalable products, with a focus on delivery, implementation, & technical excellence backed up by research-oriented approach. He created and worked for different AI/ML Center of Excellence, efficiently managed analytical product implementation & consulting teams in various domains like EdTech, HealthTech, Telecom, Retail & Manufacturing for Fortune 500 companies. He is a visiting Sr Researcher at Artificial Intelligence & Innovation Lab, Tamaulipas Autonomous University (UAT), Mexico. He has worked on various analytical consulting assignments on problems related to the areas of Digital Government, Healthcare, Education, Retail and Insurance. He has delivered lectures at the University of Delhi and IMT – Ghaziabad in Computer Science, Data Science, Information Security and Management. He has also conducted several 1:1 live mentoring and training sessions related to upskilling of analytical career, preparations for analytical certifications and technical knowledge on Analytics Project Lifecycle for various data science professionals from reputed organizations like Verizon, Nokia, Cyient, Tech Mahindra, TCS, Ericsson and Anthem. He has done his Ph.D. in Information Systems & Analytics from the Department of Computer Science, University of Delhi, and Post-doc in Data Science and Data Modelling from the Center of Information Technologies and Applied Mathematics, University of Nova Gorica, Slovenia, Europe. He is triple masters in Analytics, Management and Computer Applications. He has authored more than 100 publications including 7 books and multiple research papers in the areas of Public Information Systems, Artificial Intelligence (AI), Machine Learning (ML), Data Science, Information Technology, and Management. He is one of the few Certified Analytics Professional (CAP-INFORMS) around the world and is serving as CAP Ambassador in Asia Region. He is the first non-US member of the prestigious Analytics Certification Board (ACB) of INFORMS, USA. He has also been accredited with ‘Graduate Statistician’ from the American Statistical Association (ASA). He is UGC NET-JRF qualified and holds a certificate in Consulting from Consultancy Development Centre (CDC), DSIR, Ministry of Science and Technology, Government of India. vii He has received prestigious “Standout AI Thought Leader” at 3AI Zenith Awards 2024; “AI Changemaker Leader” under 3AI ACME Awards at BEYOND 2023; “AI Makers 100” which is Top 100 Most Influential AI & Analytics Leaders Award at 3AI GCC-X Summit 2023; and “40 Under 40 Data Scientists” award for 2022 by Analytics India Magazine at MLDS 2022. His areas of interest include Artificial General Intelligence (AGI), Generative AI (GAI), EdgeAI, Metaverse, Algorithmic Government, Hyper-automation, Network Science, Data Science, E-Governance, Public Information Systems, and Information Security. He has contributed to the E-Governance Development Index report by the United Nations (EGDI 2020). He is a member of the reviewer panel of multiple international journals & conferences. He has also delivered a talk as a panelist on Data Science Application for E-Governance on an international forum sponsored by International Data Engineering and Science Association (IDEAS), USA, and conducted a Global Workshop on “Inclusion of Marginalized Communities” through Electronic Governance and Analytics at ICEGOV-2020 hosted by United Nations University, amongst many Corporate events, Panel Discussion, Enterprise Webinars, Faculty Development Programs, News Channel Debates and Research events, as an AI/ML & Data Analytics expert.

Dr. Sanju Tiwari (CEO and Founder of ShodhGuru Research Labs, India) is a Professor at Sharda University, India, and a Senior Researcher at TIB Hannover Germany. She is former recipient of DAAD Post-Doc-Net AI Fellow of Germany for 2021 and visited different German Universities. Prior to this she worked as a postdoctoral researcher at Ontology Engineering Group, Universidad Politecnica de Madrid, Spain in 2019. She has organized several workshops and conferences as a leading organizer in various renowned international conferences (ESWC, SEMANTiCS, KGSWC, WWW etc). She is a Mentor of Google Summer of Code (GSoC-2022-24) at DBpedia and a member of InfAI, Leipzig University, Germany and initiated a project on “DBpedia Chapter in Hindi”. She has visited 7 Countries for conducting various research activities.

Dr. Poonam Chaudhary is currently working as the Data Science Lead and Assistant Professor (Sel Grade) with the Department of CSE, The Northcap University. She is a target driven, dedicated professional with more than 15 years of experience in teaching, administration, industry and research. She has completed her B.Tech from University of Rajasthan, Jaipur followed by M.Tech from Mahrishi Dayanand University Rohtak, Haryana. viii She has completed her PhD from MRIIRS Faridabad in the field of Brain Computer Interfacing using EEG signals. NCU awarded her with the Best Teacher Award (1st Rank) in the university during the academic year 2021-2022. She has guided around 35 B. Tech projects, 15 M.Tech theses, and currently supervising 5 Ph.D. Scholars. She has completed one international project funded by Cintana Education, USA and one consultancy project. Her dedication and commitment have contributed towards successful implementation of certification programs in emerging areas in the Department. She has deep interest in innovation and design thinking and selected as innovation ambassador for IIC (Institution’s Innovation Council, Ministry of Education). Her keen interest led project base courses and participated in various National Level Competitions including Smart India Hackathon 2020 (Winner, Rs. 100000/-), Microsoft Imagine Cup (Qualified Finals, Country Level), EY Techathon 2.0 (2nd Runner Ups, Rs. 25000/-), EY Techathon 3.0 (Winner Rs. 1,50000/-), Yuva Innovator Challenge, India International Science Festival - IISF 2021 and got appreciation letter from IndiaSpark for "Alibaba AI Global Hackathon 2020". She was appointed as mentor for ASEAN-India Hackthon 2021 by Ministry of Education’s Innovation Cell, All India Council for Technical Education (AICTE). In addition, she was appointed as evaluator for TOYCATHON 2021 and AI Expert for Training Sessions of MANTHAN 2021 by Ministry of Education’s Innovation Cell, AICTE. In research, she has published one authored book “Opinion Mining in Information Retrieval” and edited one Springer book name “Intelligent Healthcare”. She has more than 20 publications to her credit in various leading and peer reviewed International and National Journals/Conferences in the various areas like Brain Computer Interfacing, Data Mining, Machine Learning, and Deep Learning. She has also published three Indian Patents. Her belief of sharing knowledge led her to deliver talks on emerging topics of Machine Learning in various reputed conferences, FDPs and invited expert talks. She has chaired various sessions in Springer, IEEE and Elsevier conferences. She is a professional member of ACM and IEEE. Her areas of interest include Brain computer Interfaces, Databases, Data Mining, Machine Learning and EEG signal processing.