How does gradient clipping interact with Adam optimizer?

Gradient clipping stabilizes Adam updates by limiting extreme gradient values.

Although Adam adapts learning rates per parameter, large gradients can still destabilize training. Clipping ensures gradients remain within a bounded norm before adaptive updates are applied.