Why GPT’s Attention Mechanism Is So Complicated

In this episode, we take a deep dive into Queries, Keys, and Values (Q, K, V), the core mechanism that powers self-attention in Transformer models. You’ll learn exactly how attention works under the hood, step by step, and why Q, K, and V are the fundamental building blocks behind models like GPT and LLaMA. Topics covered in this video: - What Queries, Keys, and Values represent conceptually - How Q, K, and V are computed from token embeddings - How dot-product attention measures relevance between tokens - Why scaling and softmax are necessary in attention - How Val…