Even though my dataset is very small, I think it's sufficient to conclude that LLMs can't consistently reason. Also their reasoning performance gets worse as the SAT instance grows, which may be due to the context window becoming too large as the model reasoning progresses, and it gets harder to remember original clauses at the top of the context. A friend of mine made an observation that how complex SAT instances are similar to working with many rules in large codebases. As we add more rules, it gets more and more likely for LLMs to forget some of them, which can be insidious. Of course that doesn't mean LLMs are useless. They can be definitely useful without being able to reason, but due to lack of reasoning, we can't just write down the rules and expect that LLMs will always follow them. For critical requirements there needs to be some other process in place to ensure that these are met.
lowerdir is the read-only directory (composefs) containing file metadata, and datadir is the directory containing the data (erofs).
，详情可参考雷电模拟器官方版本下载
一贯家乡优先的刘强东，没有把公司选在江苏，而是广东，也是看好广东在此的优势与潜力。他提到，广东早在20年前就提出发展游艇产业，是全国制造业大省，拥有完善的供应链配套、丰富的人才资源和国际化沿海城市群。
像格里夫妇一样的入境游客还有不少。海外社交媒体上，“周五下班到中国去”“带着空箱去中国”等话题热度居高不下。这些由境外游客自发传播的亲身体验，让可爱、可信、开放、包容的中国形象更加深入人心。