1) i actually think that’s too high, i bet it’s more like 30%. My logic is that they have to have _some_ margin, but LLMs are too expensive to have typical software margins. Total speculation though.
2) It generally tracks pretty well unless the model is gaming the metric (training on the test set, overfit to the specific source of data, etc). The relative rankings will typically match in both.
3) alas, not with the mild winter North America’s having. They only stop below -5C or so. I am lucky though. The woodpecker stopped attacking my house and started attacking my neighbor’s. Even worse, it used to be a downy woodpecker,and it’s now been replaced by a pileated one (think: Woody).
2) It generally tracks pretty well unless the model is gaming the metric (training on the test set, overfit to the specific source of data, etc). The relative rankings will typically match in both.
3) alas, not with the mild winter North America’s having. They only stop below -5C or so. I am lucky though. The woodpecker stopped attacking my house and started attacking my neighbor’s. Even worse, it used to be a downy woodpecker,and it’s now been replaced by a pileated one (think: Woody).