Understanding LLMs

A Short Technical Dive

A clear, structured guide to how large language models work.

This book provides a straightforward and well-organized introduction to the technology behind large language models (LLMs), such as ChatGPT. It explains how these models handle language, how they’re built using transformers and neural networks, and how they are trained on massive amounts of data.

Designed for readers with a basic understanding of programming or math, it avoids unnecessary complexity while staying technically accurate. You’ll learn:

• What it means to “model” language
• How transformers and attention mechanisms function
• How LLMs are trained without human-labeled data
• What these models are good at and where they struggle

Whether you're a student, developer, or simply curious about modern AI, this book offers a solid foundation in the core ideas that power today’s language models.

(Note: This book is not a engineering guide ,it only discusses topic enough to build a mental model of the topic)