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@ -33,7 +33,7 @@ Based on [[https://schlockmercenary.fandom.com/wiki/The_Seventy_Maxims_of_Maxima
*. Only overfitters prosper (temporarily).
*. Any model is production-ready if you can containerize it.
*. If you’re logging metrics, you’re being audited.
*. If you’re seeing NaN, you need a smaller learning rate.
*. If you’re leaving GPUs unused, you need a bigger model.
*. That which does not break your model has made a suboptimal adversarial example.
*. When the loss plateaus, the wise call for more data.
*. There is no “overkill.” There is only “more tokens” and “CUDA out of memory.”