Why do some AI models get 99% accuracy in a study but fail in the real world? The answer is "overfitting" – a critical flaw where a model memorises data instead of learning from it. In this episode, we use the analogy of an over-crammed student to explain what overfitting is and give you the key question you must ask to spot it in any research paper.

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