Introduction to Large Language Models Generative AI for Text

Best Book.

I have been reading this book by Professor Tanmoy Chakraborty for the past month, and it has been a great learning experience. The book explains the concepts of LLMs and Generative AI in a very clear and easy-to-understand way. It starts from the basics, like how computers understand language, and slowly moves on to more advanced topics, such as word embeddings and how LLMs like ChatGPT and DeepSeek are built and used. I really liked how Professor has used simple language, helpful examples, and diagrams to explain complex ideas. The book also talks about real-life applications of these models, which made it even more interesting and practical. Even if you are a beginner or someone with little knowledge of AI, this book is a great place to start. After spending a month reading it, I feel much more confident about these topics, and I would highly recommend this book to anyone who wants to learn about Generative AI and LLMs in a simple and effective way.

This book is a great starting point for beginners looking to start working with (or, researching on) LLMs. With so much going on in the LLM space every day, newcomers are bound to get overwhelmed and diverted from the basics. This book gives the reader a solid foundation, starting from the basics of Deep Learning and NLP, and building all the way up to recent advances in LLMs. With ample references and accompanying lecture videos, it provides a fulfilling learning experience.

Just started reading it, a wonderful one-stop resource for LLMs at this price tag. A must to have in your bookshelf. Here is my early review for it.1. Comprehensive Coverage: The book offers a 360-degree view of all critical topics surrounding Large Language Models, including prompt engineering, reasoning, low-resource fine-tuning, reinforcement learning, and more.2. Academic and Practical Balance: The book is equally useful for students, researchers, as well as professionals looking to apply LLM.3. Exercises and Use Cases: With exercises at the end of chapters and real-world use cases from domains like healthcare, legal, and finance, the book provides an engaging, hands-on approach.4. Contemporary: The book covers recent advancements from research.Overall, It is well-rounded, authoritative book that applies equally to both theory and practice.

The print quality is not good.

I bought this book by mistake. Instead of a kindle version I ended up ordering a physical one... am glad I did that mistake as it turned out to be a good introduction to a wide array of topics in contemporary LLM world... I found it very useful in acquainting with the concepts that are at the core of LLM adaptation to specific tasks.... good job Tanmoy Chakraborty

Reading first chapter. Explanations good till now. Will keep the review updated. For now 5*

Very good book if you plan to apply llm based methods for your technical/business research topic. Takes a first principle hands-on approach and cuts through hype.If you an instructor, you can also design 3-4 credit LLM curriculum for your PG/MBA students using this as your textbook, as it is accompanied with lecture video, toy dataset, and working python codes, relevant to indian and global context.The author is a chaired asoc prof at IIT Delhi and leads their computational social science lab and advisory to GoI AI initiatives.