Dropout is one strategy for regularization but doesn't guarantee avoiding overfitting, especially now that modern AI models generalize much better than they did

Dropout is one strategy for regularization but doesn't guarantee avoiding overfitting, especially now that modern AI models generalize much better than they did during the ImageNet days. Many of the big LLMs use a dropout of 0.1 though.