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LoganDark • today at 8:22 AM • 1 reply • view on HN

Assuming for simplicity that you're talking about locking layers. Each layer influences the input to the next layer, so locking a subset of layers doesn't necessarily mean that you'll continue to see the same results in the output. Not sure if you meant something more granular or otherwise, but I don't see how it's possible to simply freeze a part of a model in order to retain a particular capability.


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im3w1l • today at 1:43 PM

I meant taking all the weights that are part of the cpu and locking those, and only those.

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