Overfitting happens when the model:
Answer options
A
Generalizes well
B
Memorizes training data and performs poorly on new data
C
Never learns
D
Has too few parameters
Correct answer: Memorizes training data and performs poorly on new data
Explanation
Quick AnswerThe correct answer is Memorizes training data and performs poorly on new data because it directly addresses the core logic of Generative AI.
Overfitting occurs when a model memorizes training data rather than learning generalizable patterns, resulting in poor performance on unseen data.