The inner workings of Large Language Models: how neural networks learn language

Large language models like ChatGPT, Claude, and Copilot are changing the way we work, learn, and build software — but how do they actually work? If you've ever wondered what goes on under the hood of an LLM, this book is for you. This book explains how large language models like ChatGPT operate, step by step, using clear language and practical illustrations. Whether you're a software developer, tech enthusiast, or simply curious, you'll come away with a strong intuitive understanding of how these models generate text, learn from data, and represent meaning using mathematics. You'll learn about: Tokenization, embeddings, and vector representations The inner workings of self-attention and transformer layers How models are trained, fine-tuned, and optimized Common myths and misconceptions And much more — including how I used LLMs during my research for the book This isn't an academic text or a deep dive into every research paper, it's a practical, visual, and approachable explanation for people who want to understand LLMs without getting lost in jargon. If you're ready to move beyond just using AI and start understanding it, this book will give you a solid foundation View Less