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Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08

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Offlining

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.,更多细节参见搜狗输入法2026

Что думаешь? Оцени!

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第三十一条 核设施营运单位应当按照国家规定预提核设施退役费用、放射性废物处置费用,列入投资概算、生产成本,专门用于核设施退役、放射性废物处置。