What does generalization mean in machine learning?
Generalization is a model's ability to perform well on new examples beyond its training data. Evaluating unseen cases helps distinguish useful learning from memorization.
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More FAQs in What is artificial intelligence, and how does it work?
No. A scheduled reminder or fixed calculator can automate work without learning or performing the kinds of perception, inference, or planning usually associated with AI.
Not necessarily. Most deployed models run inference with fixed parameters. Updating those parameters requires a separate training process, although an application may store context or preferences.
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