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The Basic Algorithm of Machine Learning Models
The weights of the model are the things that get changed as the model trains. So if GPT three trains on the whole internet, is it too simplistic to think about like if it sees the same thing happening in a lot of different ways across the internet, then it gets it weights those things proportionally more or what's the right way to think about it? Not exactly. The basic algorithm of all machine learning models is you compute your loss, which is some difference.