LLMs in Practice
Real World Applications, Challenges and Success Stories
- 1st Edition - August 1, 2026
- Latest edition
- Editors: Kiran Jot Singh, Shubham Mahajan, Divneet Singh Kapoor, Khushal Thakur
- Language: English
LLMs in Practice: Real World Applications, Challenges and Success Stories offers a deeply applied, interdisciplinary perspective on how Large Language Models (LLMs) are being… Read more
World Book Day celebration
Where learning shapes lives
Up to 25% off trusted resources that support research, study, and discovery.
Description
Description
Key features
Key features
- Provides a comprehensive understanding of how LLMs are transforming sectors such as healthcare, education, law, and business
- Serves as a reference for researchers, practitioners, and innovators seeking to design, evaluate, and scale generative AI systems
- Supports educators and students by offering structured resources for teaching, learning, and project-based engagement with LLMs
- Promotes responsible innovation by highlighting frameworks for ethical governance, transparency, and inclusive AI adoption across varied socio-economic contexts
Readership
Readership
Table of contents
Table of contents
Section I: Foundations of Large Language Models
1. Foundations and Frameworks for Large Language Models: Concepts and Deployment Strategies
2. Mathematical Foundations and Reasoning Capabilities of Large Language Models
Section II: Governance, Ethics, Policy, and Law
3. Responsibility Gaps in Autonomous Agentic AI: Legal and Ethical Blind Spots in Multi-Agent and Multi-Developer Systems
4. Business Transformation and Legal Innovation in the Age of Generative AI
5. Policy, Law, and AI in Healthcare: Addressing Legal Hurdles in the Use of Large Language Models
6. Enhancing Security and Privacy in the Integration of Large Language Models within Learning Management Systems
Section III: Healthcare Systems & Digital Health
7. Transforming Healthcare with Large Language Models: Innovation, Integration, and Impact
8. Revolutionizing Healthcare Systems Through Large Language Models
9. SymptoGuide: Revolutionising Digital Health through Retrieval- Augmented Generation and LLMs
Section IV: Mental Health, Neuroscience & Well-Being
10. Enhancing Mental Health and Cognitive Research with Generative AI
11. Enhancing Mental Health and Cognitive Research with Generative AI: Transformative Applications, Ethical Considerations, and Future Directions
12. Therapeutic LLMs in Mental Health: Evidence, Alignment Engineering, and SAFEE-Based Governance
13. Personalized Music-Based Neuro-Rehabilitation Using Generative AI Models
14. The Role of Generative AI in Shaping the Future of Mental Health Research
Section V: Finance, Risk & Intelligent Markets
15. Financial Services and Risk Intelligence Powered by LLMs
16. LLM-Driven Trading: Enhancing Financial Algorithms with Sentiment and Risk Analysis
17. Leveraging LLMs for marketing of Financial products for multi-lingual Consumers
Section VI: Marketing, Business Intelligence & Consumer Insights
18. LLM-Driven Marketing Strategy & Consumer Insights
Section VII: Smart Cities, Robotics & Urban Intelligence
19. Leveraging Large Language Models for Intelligent Urban Planning and Smart Cities
20. LLMs in Action: Semantic Navigation on TurtleBot4 via MCP-Based Natural Language Interface
Product details
Product details
- Edition: 1
- Latest edition
- Published: August 1, 2026
- Language: English
About the editors
About the editors
KS
Kiran Jot Singh
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.
SM
Shubham Mahajan
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. 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.
DK
Divneet Singh Kapoor
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.
KT
Khushal Thakur
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.