Diff of The Seventy Maxims Of Maximally Effective Machine Learning Engineers at b91e841

@@ -9,6 +9,6 @@ Based on [[https://schlockmercenary.fandom.com/wiki/The_Seventy_Maxims_of_Maxima
 *. 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.
+*. Harsh critiques have their place – usually in the rejected pull requests.
 *. 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.
+*. Every dataset is trainable at least once.
 *. A gentle learning rate turneth away divergence. Once the loss stabilizes, crank it up.

@@ -71,2 +71,2 @@ Based on [[https://schlockmercenary.fandom.com/wiki/The_Seventy_Maxims_of_Maxima
 *. Sometimes SOTA is a function of who had the biggest TPU pod.
-*. Bugs are not an option—they are mandatory. The option is whether or not to catch them before releasing the paper.
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+*. Bugs are not an option – they are mandatory. The option is whether or not to catch them before releasing the paper.
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