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British Citizenship Applications by US Nationals Hit Record High
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自2009年起,广东省中医院每年举办“杏林寻宝”活动,引进64项特色疗法,组织跟师51项,培养院内传承人330余人次,为22名献宝人建立名医工作室并给予经费扶持,为7项特色疗法组建中医特色疗法专业小组。
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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.,这一点在91视频中也有详细论述