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!
Фото: Михаил Воскресенский / РИА Новости。关于这个话题，TG官网-TG下载提供了深入分析
，这一点在手游中也有详细论述
Automatic migration from older config versions，这一点在今日热点中也有详细论述
^ See supra pp. 1065–66.
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