It’s Day 13 of Building an LLM from scratch 🧠 Today’s focus: Multi-Head Self-Attention. Instead of a single attention pass, we run attention in parallel across multiple heads, each with its own learned Q, K, V projections. This lets the model attend to different representation subspaces and token relationships simultaneously. Heads are concatenated (or projected) to form richer context vectors-a core reason transformers scale so well. Implementing it from scratch makes the math click. One block closer to a real LLM. #deeplearning #generativeai #womenwhocode #largelanguagemodels #womenintech