It also surpasses all peer-scale dense models by a wide margin.
大多数人可能认为模型性能与其规模成正比,但作者指出Qwen3.6-27B在同等规模模型中表现突出,超越了所有同规模密集模型,这挑战了规模与性能之间的传统认知。
It also surpasses all peer-scale dense models by a wide margin.
大多数人可能认为模型性能与其规模成正比,但作者指出Qwen3.6-27B在同等规模模型中表现突出,超越了所有同规模密集模型,这挑战了规模与性能之间的传统认知。
Historical LowSteam on 2020-05-100% off$0.00
If you zoom in on the timeline, it looks like they accidentally set price to $0.00 (probably meant to set discount to 0 instead?) and then corrected it.
17:16: 0% off of $0.00 17:23: 0% off of $19.99
Having this mistake/outlier shown as the historical low is misleading and confusing and incorrect, and should be corrected.
extremes help to tell you what’s possible, and could suggest a very different distribution in your data from what you expect