Does an AI model keep learning every time I use it?
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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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.
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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