LLMs in Practice
Real World Applications, Challenges and Success Stories
$319.38
- Paperback
540 pages
- Release Date
24 June 2026
Summary
LLMs in Practice: Guide to the AI Revolution
This guide is your essential companion to navigating the rapidly evolving landscape of Large Language Models (LLMs). LLMs are at the forefront of the AI revolution, transforming how we interact with technology and unlocking unprecedented opportunities across industries.
Inside, you’ll discover:
- What LLMs are: A clear and concise explanation of the fundamental concepts …
Book Details
| ISBN-13: | 9780443443442 |
|---|---|
| ISBN-10: | 0443443440 |
| Author: | Kiran Jot Singh, Shubham Mahajan, Divneet Singh Kapoor, Khushal Thakur |
| Publisher: | Elsevier - Health Sciences Division |
| Imprint: | Elsevier - Health Sciences Division |
| Format: | Paperback |
| Number of Pages: | 540 |
| Release Date: | 24 June 2026 |
| Weight: | 450g |
| Dimensions: | 191mm x 235mm |
Kiran Jot Singh
Authors
Kiran Jot Singh is an Associate Professor and Associate Dean (Academic Affairs) at Chandigarh University, Mohali, India. His research focuses on Human-Robot Interaction, with additional interests in biofeedback and happiness studies through technology. He holds a PhD in Human-Robot Interaction and has filed 12 patents with the Indian patent office. He is actively involved in various funded research projects.
Dr. Shubham Mahajan is an Assistant Professor at Amity University, Haryana, India. He holds a B.Tech, M.Tech, and PhD in relevant fields. A member of IEEE, ACM, and IAENG, his research interests encompass artificial intelligence, image processing, video compression, image segmentation, fuzzy entropy, nature-inspired optimization, data mining, machine learning, robotics, and optical communications. He possesses international patents, has published extensively in high-impact venues, and has edited several Scopus-indexed books. Dr. Mahajan has received numerous awards for research excellence and travel support. He has served as an IEEE Campus Ambassador and actively contributes to technical program committees and editorial boards for conferences and journals.
Divneet Singh Kapoor is an Associate Professor and Associate Dean (Academic Affairs) at Chandigarh University, Mohali, India. His academic background includes a PhD in signal processing and wireless communication. His research interests lie in embedded systems, the Internet of Things (IoT), robotics, and affective computing. He has filed multiple patents with the Indian patent office, several of which have been granted.
Dr. Khushal Thakur is an Associate Dean – Academic Affairs and Associate Professor at Chandigarh University, with over ten years of experience in Electronics & Communication Engineering. He earned his PhD in Massive MIMO systems. His research areas include IoT, embedded systems, wireless networks, and AI. Dr. Thakur has published numerous works in journals such as IEEE Access, Springer, and CRC Press, and holds several Indian patents, including three granted ones. He has made significant contributions to academic planning, curriculum design, and quality assurance, supporting initiatives aligned with NBA, NAAC, and ABET standards.
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