Mitchell: High-quality evaluation benchmarks are underappreciated compared to training data
Eric Mitchell · No Priors Ep. 113 | With OpenAI's Eric Mitchell and Brandon McKinzie · May 1, 2025 · at 32:58
OpenAI research scientist Eric Mitchell discusses the critical role of uncontaminated evaluation datasets compared to standard training data.
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“I mean, yeah, like you want, you know, good data to train on and that's of course valuable for making the model better, but I think it is often neglected how also important it is to have high quality data, which is like a different definition of high quality when it comes to an eval. But yeah, the eval side is like often just as important because you don't, you need to measure stuff.”
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