Ранее сообщалось, что российский лидер Владимир Путин создал комиссию при президенте РФ по вопросам развития технологий ИИ. Соответствующий документ был опубликован на портале правовой информации.
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For Andrés Sánchez Barea, in Spain, it was the fear that arose when water started to spurt from plug sockets. For Nelson Duarte, in Portugal, it was the helplessness that hit as violent winds smacked down trees and tore tiles from roofs. For Amal Essuide, in Morocco, it was the reality that dawned when a corpse was pulled onboard a boat in the flooded medina.。关于这个话题，雷电模拟器官方版本下载提供了深入分析
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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.