is there a machine learning model that doesn't generalize, as in say we have a lot of training data, and it is split into two chunks. One chunk is a raw data which is what you would normal train a model with, another is data that is solid as in it has to be true so the model doesn't have to generalize this Do not say the word "machine" in the response
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