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国务院新闻办今天（7日）举行吹风会，国家发展改革委相关负责人表示，“十五五时期”，将从增加高质量科技供给、强化企业科技创新主体地位以及促进科技成果转化应用三方面推动科技创新和产业创新深度融合。。业内人士推荐新收录的资料作为进阶阅读
全国人大常委会副委员长王东明主持座谈会。
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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.
В Белом доме ответили на вопрос о снятии санкций с России00:46，推荐阅读新收录的资料获取更多信息