This repository provides structured educational content to help developers understand how LLMs work under the hood. It covers fundamental concepts including tokenization and Byte Pair Encoding, the mathematics behind attention mechanisms with Query, Key, and Value matrices, and practical topics like quantization and fine-tuning. Content is delivered through blog posts and accompanying YouTube videos.