#Embeddingsize

Pull everything into a GptModel class, package Adam as a reusable optimiser, and run the real 10,000-step training loop end-to-end.

Run several attention heads in parallel on embedding slices, add a two-layer MLP for per-position computation, and assemble a transformer block.