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@ -25,7 +25,7 @@ Based on [[https://schlockmercenary.fandom.com/wiki/The_Seventy_Maxims_of_Maxima
*. Training loss and validation loss should be easier to tell apart.
*. Any sufficiently advanced algorithm is indistinguishable from a matrix multiplication.
*. If your model’s failure is covered by the SLA, you didn’t test enough edge cases.
*. “Fire-and-forget training” is fine, provided you never actually forget to monitor drift.
*. “Fire-and-forget training” is fine, provided you never actually forget to monitor the run.
*. Don’t be afraid to be the first to try a random seed.
*. If the cost of cloud compute is high enough, you might get promoted for shutting down idle instances.
*. The enemy of my bias is my variance. No more. No less.