What You'll Build Embedding tables that give each token and each position a learned vector, a minimal forward pass that produces logits, and the loss function that measures how wrong the predictions are. Depends On Chapters 1-3, 5 (Value, Tokenizer, Helpers). Embeddings: Giving Tokens an Identity The model needs two pieces of information about each token: what the token is, and where it appe