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@@ -8,7 +8,7 @@ Based on [[https://schlockmercenary.fandom.com/wiki/The_Seventy_Maxims_of_Maxima
*. If increasing model complexity wasn’t your last resort, you failed to add enough layers.
*. If the accuracy is high enough, stakeholders will stop complaining about the compute costs.
*. Harsh critiques have their place—usually in the rejected pull requests.
*. Never turn your back on a deployed model.
*. Never turn your back on a reinforcement learner.
*. Sometimes the only way out is through… through another epoch.
*. Every dataset is trainable—at least once.
*. A gentle learning rate turneth away divergence. Once the loss stabilizes, crank it up.