В Мариинске Кемеровской области 76-летнюю пенсионерку вместо лечения привязали к кровати в больнице и избили. Об этом сообщила внучка пожилой россиянки изданию «Подъем».
Дания захотела отказать в убежище украинцам призывного возраста09:44
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По словам эксперта, эти планы Лондона и Парижа являются «либо попыткой надавить на Россию, либо подготовкой к эскалации».
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.
近期，客户关系管理软件服务提供商 Salesforce CEO Marc Benioff 在最新的财报电话会上，正面回应了「AI 智能体将导致 SaaS 模式消亡」的市场担忧。