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In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.
,这一点在91视频中也有详细论述
// 工具函数:MmsharedkmpKotlinByteArray → NSData
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,更多细节参见搜狗输入法2026
次日白天,三人合照时,大舅姿势僵硬,杜耀豪在一旁皱眉,露出意味复杂的微笑。在餐厅里,拌嘴再度升级为争吵。杜耀豪忍不住问:“为什么你们关系这么差?”二舅的回答直白得近乎残酷:“因为我们并不爱彼此。我们不在一起太多年了。”话音未落,大舅便以更激烈的言辞攻击杜耀豪母亲“破坏别人家庭”,母亲则反讽他是“全世界最好的”。二舅和杜耀豪只能在旁无奈劝架。
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