AI model is good at interpolation but bad for extrapolation. Interpolation means the object to classify is included in the training data. Extrapolation means when the object was not seen in the sample and thus the model attempt to estimate a match. For example a model to classify for and car could not classify a wolf.
Therefore the completeness of training data for a specific task is important for a model to work well.
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