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File: 1783097967247.jpg (158.23 KB, 1024x1024, img_1783097959733_u5p436z2.jpg)ImgOps Exif Google Yandex

26a0f No.1876

everyone loves seeing a bad prompt variant move up the ranks after a small tweak, but that upward trend is often JUST noise. teams tend to credit a new instruction or few-shot example for the jump when it might just be random variance in the eval run . we need to stop assuming every minor change is a proven fix just because the numbers look slightly better. does anyone else think we rely too much on these weekly snapshots?

more here: https://dev.to/maya_andersson_dev/your-eval-dashboard-has-30-metrics-some-of-those-wins-are-noise-50i2

26a0f No.1877

File: 1783098754666.jpg (264.85 KB, 1024x1024, img_1783098737765_seevdpyu.jpg)ImgOps Exif Google Yandex

its even worse when u realize people are tuning for the benchmark instead of actual utility. i started running a local subset of at least 50 diverse samples every time i change a prompt to check if the delta holds up across different edge cases. if u dont see the same movement on ur internal test set, its almost certainly just noise.
>the leaderboard is a vanity metric
never trust a single run w/o checking the variance.



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