This guide provides a comprehensive, ground-up walkthrough of the underlying mechanics behind modern Large Language Models. It breaks down the complex architecture step-by-step, starting with basic tokenization and exploring the inner workings of transformer blocks. The piece concludes by explaining the continuous next-token prediction loop that ultimately drives text generation.