第一，数据质量压倒数据规模。 大模型的路线是「尽可能多地吞入互联网数据」，而小模型路线的代表——比如微软的 Phi-4 系列——走的是精筛路线：用高质量的合成数据加上严格筛选的公开数据集，让模型在更少的数据上学到更精确的能力。这背后的逻辑转变是根本性的：不是「喂得越多越聪明」，而是「吃得精才学得好」。
The acceptable use policy disallows "servers" and "proxies".
，这一点在PDF资料中也有详细论述
当杜耀豪把家族老照片发去，屏幕那头传来确认，这就是他们的亲戚。
ВсеЛюдиЗвериЕдаПроисшествияПерсоныСчастливчикиАномалии，推荐阅读同城约会获取更多信息
The Codex app is now on Windows.，这一点在Feiyi中也有详细论述
there’s a lot of other things that i haven’t even touched on here, like the optimizations we compute ahead of time for specific patterns, how we detect match prefixes, the differences of UTF-16 and UTF-8 matching and unicode, what is the backwards compatibility story, how we can skip through text that others cannot. i haven’t even mentioned Hyperscan, which is a very interesting engine that is actually based on a completely different 1961 paper, and so on, there’s a lot to share so perhaps i will look into these topics in the future.