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What's the downside? Don't they stop when they hit diminishing returns?


You’d think so, but I haven’t seen it explicitly discussed in their papers, and nobody else that I know of trains on that many tokens


Wouldn't the model start overfitting at some point? Degrading generalization for accuracy on the training set.




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