Large language models like GPT, Gemini, and Llama rely on transformers—but how does this architecture actually work? In this new short course, Jay Alammar and Maarten Grootendorst, authors of the Hands-On Large Language Models book, break down: 📌 How text is converted into tokens and embeddings before being processed 📌 The role of self-attention in understanding relationships between words 📌 How optimizations like KV cache and multi-query attention improve efficiency 📌 Practical implementati