Transformers from Scratch

The architecture behind every modern LLM, rebuilt from the one idea that started it: a word has no fixed meaning — it assembles one from the words around it. Deriving attention, multi-head, masking, and positional encoding the same way I study everything else — invent it from the problem up, mock it hard, then build the intuition in public.