How do you objectively tell whether a model "performs" better than another?

Not the original commenter but I work in the space and we have large annotated datasets with "gold" evidence that we want to retrieve, the evaluation of new models is actually very quantitative.

	▲	mbesto 18 hours ago \| parent [-]
		> but I work in the space Ya, the original commenter likely does not work in the space - hence the ask. > the evaluation of new models is actually very quantitative. While you may be able to derive a % correct (and hence quantitative), they are by their nature very much not quantitative. Q&As on written subjects are very much subjective. Example benchmark: https://llm-stats.com/benchmarks/gpqa Even though there are techniques to reduce overfitting, it still isn't eliminated. So it's very much subjective.