The Core Building Block Behind GPT (Explained Visually)

Every modern large language model, GPT, LLaMA, Mistral, and others, is built by stacking the same fundamental unit: the Transformer block. In this video, we break down exactly what happens inside a single Transformer block, step by step, and explain how its components work together to turn token embeddings into contextual representations. We cover the three core building blocks of the architecture: - Multi-Head Self-Attention: how tokens exchange information. - Feed-Forward Networks (FFN): how features are transformed independently per token. - Residual Connections and Layer Nor…