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This sounds like it could explain many ML models ;)



It’s actually possible in theory for part of a neural net to simply encode the training data and use it to regurgitate responses. In practice, more efficient parts of the network should win in the end.


Has nobody in this thread heard of https://en.m.wikipedia.org/wiki/Cross-validation_(statistics...

Every ml tutorial start with splitting your data in into a training set and validation set.




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