LLMs in Practice

Kiran Jot Singh is currently an Associate Professor and Associate Dean (Academic Affairs) at Chandigarh University, Mohali, India. He has done PhD in the domain of Human Robot Interaction. He has also filed 12 patents with the Indian patent office. He is working on various funded projects, and his research interests include human robot/computer interaction, bio feedback and happiness studies through technology.Dr. Shubham Mahajan is an academic and researcher, member of IEEE, ACM, and IAENG. He earned a B.Tech from Baba Ghulam Shah Badshah University, an M.Tech from Chandigarh University, and a PhD from Shri Mata Vaishno Devi University. He is currently Assistant Professor at Amity University, Haryana, India. His research spans artificial intelligence and image processing, including video compression, image segmentation, fuzzy entropy, nature-inspired optimization, data mining, machine learning, robotics, and optical communications. He holds patents internationally and has published widely in high-impact venues; he has edited several Scopus-indexed books. He has received multiple awards for research excellence and travel support from IEEE, among others. He has served as IEEE Campus Ambassador at premier institutes and promotes international collaborations. He participates in technical program committees and editorial boards for conferences and journals, shaping discourse in AI and image processing.Divneet Singh Kapoor is currently an Associate Professor and Associate Dean (Academic Affairs) at Chandigarh University, Mohali, India. He has done PhD in the domain of signal processing and wireless communication. He has filed multiple patents with the Indian patent office and has been granted several, showcasing his innovative contributions to the field. His research interests span embedded systems, Internet of Things (IoT), robotics, and affective computing.Dr. Khushal Thakur is Associate Dean – Academic Affairs and Associate Professor at Chandigarh University with over a decade of experience in Electronics & Communication Engineering. He holds a Ph.D. in Massive MIMO systems and has published extensively in reputed journals such as IEEE Access, Springer, and CRC Press. His research spans IoT, embedded systems, wireless networks, and AI, and he holds several Indian patents, including three granted ones. Dr. Thakur has contributed significantly to academic planning, curriculum design, and quality assurance, supporting initiatives aligned with NBA, NAAC, and ABET standards.

• Section I: Foundations of Large Language Models1. Foundations and Frameworks for Large Language Models: Concepts and Deployment Strategies2. Mathematical Foundations and Reasoning Capabilities of Large Language ModelsSection II: Governance, Ethics, Policy, and Law3. Responsibility Gaps in Autonomous Agentic AI: Legal and Ethical Blind Spots in Multi-Agent and Multi-Developer Systems4. Business Transformation and Legal Innovation in the Age of Generative AI5. Policy, Law, and AI in Healthcare: Addressing Legal Hurdles in the Use of Large Language Models6. Enhancing Security and Privacy in the Integration of Large Language Models within Learning Management SystemsSection III: Healthcare Systems & Digital Health7. Transforming Healthcare with Large Language Models: Innovation, Integration, and Impact8. Revolutionizing Healthcare Systems Through Large Language Models9. SymptoGuide: Revolutionising Digital Health through Retrieval- Augmented Generation and LLMsSection IV: Mental Health, Neuroscience & Well-Being10. Enhancing Mental Health and Cognitive Research with Generative AI11. Enhancing Mental Health and Cognitive Research with Generative AI: Transformative Applications, Ethical Considerations, and Future Directions12. Therapeutic LLMs in Mental Health: Evidence, Alignment Engineering, and SAFEE-Based Governance13. Personalized Music-Based Neuro-Rehabilitation Using Generative AI Models14. The Role of Generative AI in Shaping the Future of Mental Health ResearchSection V: Finance, Risk & Intelligent Markets15. Financial Services and Risk Intelligence Powered by LLMs16. LLM-Driven Trading: Enhancing Financial Algorithms with Sentiment and Risk Analysis17. Leveraging LLMs for marketing of Financial products for multi-lingual ConsumersSection VI: Marketing, Business Intelligence & Consumer Insights18. LLM-Driven Marketing Strategy & Consumer InsightsSection VII: Smart Cities, Robotics & Urban Intelligence19. Leveraging Large Language Models for Intelligent Urban Planning and Smart Cities20. LLMs in Action: Semantic Navigation on TurtleBot4 via MCP-Based Natural Language Interface

Select Guide Rating