It’s all dumb abstractions that AI doesn’t need because AIs are as smart as humans so they can just use what was already there, which is APIs
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!
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MAX_QUERY_HIST_STORED value. See the Deployment section