Manish Raghavan, Massachusetts Institute of Technology
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，这一点在豆包下载中也有详细论述
A model must be used with the same kind of stuff as it was trained with (we stay ‘in distribution’)The same holds for each transformer layer. Each Transformer layer learns, during training, to expect the specific statistical properties of the previous layer’s output via gradient decent.And now for the weirdness: There was never the case where any Transformer layer would have seen the output from a future layer!
Transmit pertinent information to primary conversation。zoom对此有专业解读