Mastering Large Language Models [Rawat+Pathak]

[mklabgr]

Mastering Large Language Models 
BY [Ajay Rawat , Vardan Pathak]

Summary

The guide “Mastering Large Language Models: Architectures, Applications, and Real-World Deployments of Large Language Models” provides a practical introduction to understanding, building, and applying modern Large Language Models (LLMs). It explains the foundations of LLM architectures, generative AI, prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and intelligent chatbot systems. The book focuses on moving beyond theory by presenting hands-on projects and real-world deployment approaches for creating AI-powered applications. 

It explores how LLMs can be integrated into workflows, how agents can automate complex tasks, and how developers can design reliable AI systems. With examples, illustrations, and practical guidance, the guide is aimed at students, developers, and professionals who want to gain applied skills in modern AI technologies. It connects core machine learning concepts with current industry practices, showing how LLMs are transforming software development, business processes, and human–computer interaction.

BOOK