adamw

A from-scratch test of modern optimizers. The signal is the moment estimates, bias correction, and the one change that matters: AdamW decouples weight decay from the gradient instead of folding it into the loss. Here is the implementation and why it wins.

Optimizer questions test whether you understand what each one adapts and the subtle AdamW fix that the whole field now uses. The signal is the per-parameter adaptivity story plus why coupling weight decay to Adam was a bug. Here is that answer.