Overfitting

Overfitting happens when an AI model becomes too specialized in the data it was trained on, to the point where it performs poorly on new, unseen data. Imagine a student who memorizes every answer in a textbook but can't solve slightly different problems; the AI is similar. For a teacher using AI to generate new quiz questions, if the AI overfits previous quizzes, it might only rephrase old questions rather than creating truly novel ones. It changes your expectation of an AI's flexibility; if an AI seems unable to handle variations or new scenarios, overfitting might be the reason.