Edit ‘the_seventy_maxims_of_maximally_effective_machine_learning_engineers’
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@@ -21,7 +21,7 @@ Based on [[https://schlockmercenary.fandom.com/wiki/The_Seventy_Maxims_of_Maxima
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*. The field advances when you turn competitors into collaborators, but that’s not the same as your h-index advancing.
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*. If you’re not willing to prune your own layers, you’re not willing to deploy.
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*. Give a model a labeled dataset, and it trains for a day. Take its labels away and call it “self-supervised” and it’ll generate new ones for you to validate tomorrow.
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*. If you’re manually labeling data, somebody’s done something wrong.
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*. If you’re manually labeling data, somebody’s done something wrong. Conversely, if you're not manually reading data, something's going to go wrong.
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*. Memory-bound and compute-bound should be easier to tell apart.
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*. Any sufficiently advanced algorithm is indistinguishable from a matrix multiplication.
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*. If your kernel obeys the hardware manufacturer's documentation, you didn't do enough optimization.
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