Маргарита Щигарева
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.
，更多细节参见夫子
Rank-1 linear, factorized embed, sinusoidal PE (period 11), ReLU carry detection, parabolic logit decoding
“团队创新采用多基因分子聚合育种技术，把4个抗赤霉病基因、1个抗白粉病基因和1个优质面粉基因‘装进’一粒种子里。”国家小麦产业技术体系扬州综合试验站站长、江苏里下河地区农业科学研究所小麦研究室主任高德荣说。2025年，抗倒伏性更强、品质更优的升级版新品种“扬麦53”，也已通过国家审定。，更多细节参见safew官方下载
In the early days, public Wi-Fi networks often resembled the Wild West, where ARP spoofing attacks that allowed renegade users to read other users' traffic were common. The solution was to build cryptographic protections that prevented nearby parties—whether an authorized user on the network or someone near the AP (access point)—from reading or tampering with the traffic of any other user.
Open diff view settings，详情可参考搜狗输入法2026