Nyhet

LLMs in Practice

Real World Applications, Challenges and Success Stories

AvKiran Jot Singh,Shubham Mahajan

Häftad, Engelska, 2026

2 034 kr

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Beskrivning

LLMs in Practice: Real World Applications, Challenges and Success Stories offers a deeply applied, interdisciplinary perspective on how Large Language Models (LLMs) are being integrated into the real world-spanning industries, healthcare, education, governance, mental health, creative domains, and intelligent systems. The book presents a blend of technical insights, sector-specific applications, governance frameworks, and ethical considerations. Designed for both academic and professional audiences, it equips readers to responsibly deploy LLMs while fostering innovation, equity, and scalability. The book addresses a significant gap in current literature by offering a focused, practice-oriented examination on how LLMs are being applied across diverse real-world domains.

While there is widespread academic and public interest in generative AI, there exists no single resource that cohesively captures its deployment frameworks, sector-specific applications, ethical considerations, and pedagogical integration-especially from a multidisciplinary and global perspective. This book provides deployment guidance, prompt optimization, and reliability strategies; governance frameworks, risk mitigation tools, and audit strategies; and offers case studies, instructional models, project templates, career-aligned examples, and skill-building paths.

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 socioeconomic contexts

Produktinformation

Utgivningsdatum:2026-06-24
Mått:191 x 235 x undefined mm
Vikt:450 g
Format:Häftad
Språk:Engelska
Antal sidor:540
Förlag:Elsevier Science
ISBN:9780443443442

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT

Mer om författaren

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. 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.

Innehållsförteckning

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