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AI Foundations

Overfitting

When a model learns the training data too closely and performs poorly on new data.

Example

A hiring model memorizes its training résumés but performs poorly on new applicants.

Why people use it

Knowing how “Overfitting” works helps teams reason clearly about how AI systems are built and behave.

What you'll hear

“Is Overfitting the part that matters here, or are we talking about something else?”

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