Comment by Xelbair
5 days ago
Worse. Models aren't deterministic! They use temperature value to control randomness, just so they can escape local minima!
Regenerated code might behave differently, have different bugs(worst case), or not work at all(best case).
Nitpick - it's the ML system that is sampling from model predictions that has a temperature parameter, not the model itself. Temperature and even model aside, there are other sources of randomness like the underlying hardware that can cause the havoc you describe.