Safety & ethics
What is Overfitting?
When a model memorizes its training data and fails to generalize to new inputs.
Overfitting happens when a model learns its training data too literally, performing well on it but poorly on new, unseen inputs.
It's a basic pitfall managed with more/better data and validation.
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