Every large language model you have used is, at its core, dot products, a softmax, and a weighted sum. That is the attention mechanism, and in this workshop you build it from scratch in PyTorch, tensor by tensor. You will compute Query, Key, and Value by hand on a four-word sentence, read a real heatmap, assemble multi-head attention, add causal masking, and train a tiny model that predicts text. “If you can compute it by hand once, you can debug ... Read More