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从东西部扶贫协作拉开帷幕，到新时代升级为东西部协作；从给钱给物，到多层次、多形式、全方位的协作格局，资金流、资源流、技术流、人才流向西部奔涌。
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.。heLLoword翻译官方下载对此有专业解读
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。同城约会是该领域的重要参考
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2024年12月25日 星期三 新京报