Overfitting

Also called: overfit, overfitted, underfitting, memorization

When a model learns its training examples too closely, including their quirks, and then performs poorly on new data. It is like memorizing practice test answers without understanding.

For example: A model fine-tuned on 50 support tickets repeats their exact wording and fails on questions phrased differently.