endlessly fascinating how a traditional machine learning background is basically not that helpful for modern AI. we use deep NNs and do SGD with one of two losses. most day-to-day work lies in abstractions *on top* of this layer. everything is really just a massive system of
Traditional ML background irrelevant for modern deep learning systems
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