As with his mum, dad and other siblings, the strategy has been to keep calm and carry on, and Cruz is going about the business of music with an air of exuberance and fun.
Ранее министр обороны Израиля Исраэль Кац сообщил, что страна нанесла превентивный удар по Ирану, в результате чего в ближайшее время ожидается ракетный и беспилотный удар по Государству Израиль.
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这些公司有一个共同点：它们没有在造更聪明的模型，它们在解决数据从混乱到有序的问题。
百年党史峥嵘。中央党校内，立于广场上的一块巨石两面，“实事求是”“为人民服务”的箴言格外醒目，校园两侧，焦裕禄、谷文昌塑像静立，映照始终不渝的初心、不随境迁的追求、不为时易的坚持。
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.