How do attention mechanisms affect cost function optimization?

Attention reshapes gradients by dynamically weighting input contributions in cost computation.

Attention mechanisms introduce adaptive weighting into neural computations, effectively altering the gradient flow in cost minimization. This creates dynamic dependency graphs, allowing models to focus on relevant features. However, it also introduces optimization instability due to softmax saturation and gradient competition.