LLMs: Introduction, Background, Applications, Challenges, Limitations and Future Scope

Amit Kumar Tyagi

Sep 2026 · CRC Press

Ebook

446

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Eligible

About this ebook

In today’s era, Large Language Models (LLMs) are advanced AI systems that are trained on large amounts of text data, to understand and generate human-like language. These systems built on transformer architectures have evolved from traditional NLP (Natural Language Processing) models to powerful tools that enable tasks like translation, summarization, coding, and conversational agents, etc., to make human life easier and convenient. Today we have different types of LLMs models in different areas to automate tasks, make predictions or perform tasks with help of AI. Today’s LLMs are widely used in different sectors like healthcare, education, finance, and cybersecurity, etc. However, LLMs face several challenges like bias, hallucination, high computational cost, and data privacy issues. Also, some limitations include a lack of true reasoning and dependence on training data quality. With this, some future scope lies with improving explainability, efficiency, domain adaptation, and integrating multimodal capabilities for more reliable and context-aware intelligent systems.

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About the author

Amit Kumar Tyagi is working as an Assistant Professor, at National Forensic Sciences University, Gandhinagar, Gujarat, India. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, India. Regarding his academic experience, he has worked as an assistant professor at several institutes like Lord Krishna College of Engineering (LKCE), Ghaziabad (for the periods of July 2009–July 2010, and October 2012–October 2013), Lingaya’s Vidyapeeth (formerly known as Lingaya’s University), Faridabad (September 2018–May 2019), VIT Chennai (June 2019–November 2022) and NIFT New Delhi (November 2022–September 2025). His current research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is also a senior member of IEEE.

Amit Kumar Tyagi is working as an Assistant Professor, at National Forensic Sciences University, Gandhinagar, Gujarat, India. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, India. Regarding his academic experience, he has worked as an assistant professor at ...

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