amenable to real-time data processing using networked peripherals. The '60s and
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.
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Как россиянин переехал в Китай:особенности жизни в стране, местные обычаи и еда, что удивило6 июля 2021。关于这个话题，Line官方版本下载提供了深入分析
1982年，习近平同志赴正定工作。在调研中得知，由于粮食征购任务过重，当地一些农民口粮不够，只好偷偷去外县换红薯干儿吃。