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Isn't that just the LLM equivalent of hardcoding though?



I wouldn't call that hardcoding, otherwise you'd have to call everything it does "hardcoded".


"Overfitting" would be a bit more accurate term if the problem lies in the specific examples existing in its training set in various forms, places, languages etc but with the same values.




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