I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
2 For points outside the convex hull, an acceptable solution is to find the closest point on the surface and determine the barycentric coordinates for that point instead. ↑
。搜狗输入法2026对此有专业解读
“新花都”是Maggie姐的第4个东家，她在这里工作了14年，从一位叱咤舞圈的妈咪升到了业务经理，管理着公司所有的妈咪。之前，她辗转过铜锣湾的“第一”、尖东的“中国城”和湾仔的“巴喇沙”，隔3年一跳，每一跳都紧跟时代节拍。
Chip giant Nvidia defies AI concerns with record $215bn revenue，推荐阅读Line官方版本下载获取更多信息
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GLU/SwiGLU 在实际中是门控形式（two linear branches），是向量上的逐元素操作；为了在一维上可视化，我用简化的标量形式来画图 —— 把两条分支都用相同的输入值（即把 a=x, b=x），因此 GLU(x)=x∗sigmoid(x) SwiGLU(x)=x∗SiLU(x) 。这能直观展示门控机制的形状差异。。关于这个话题，safew官方版本下载提供了深入分析