Chapter 10: Multi-Head Attention and the MLP Block

What You'll Build Multi-head attention (running several attention computations in parallel, each on its own slice of the per-token embedding vector) and the MLP block (a two-layer feed-forward network for per-position "thinking"). Both concepts are introduced here and implemented in Model.cs in Chapter 11. Depends On Chapters 5, 8, 9 (Helpers, RmsNorm, residual connections, single-head attention). Why Multiple Heads? A single attention head can only learn one kind of "what am I looking for?" pat