The conditions you have to meet are specific to the color-coded spaces. For example, if it provides a single number, every side of a tile in that space must add up to the number provided. It is possible – and common – for only half a tile to be within a color-coded space.
因此整个五代十国的所有的臣弑君，父杀子，弟杀兄……“天子，兵强马壮者为之”的观念，甚至以人肉为军粮的现象等等。当最需要去塑造整个文明意识形态内核的人群，彻底放弃意识形态上的文明底线的时候，就彻底放弃了是非对错，时代的崩溃，就是一个必然。
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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.
这家企业的负责人私下告诉记者，为缓解资金占用压力，一种名为“轻工艺”的速成加工方式，眼下正在部分陈皮生产企业里流行，他们仅需一个月的时间，就能将新采收的茶枝柑果皮处理为外观近似三年、五年自然陈化过的陈皮，这样做能大幅缩短陈化周期、降低企业的运营成本。，详情可参考heLLoword翻译官方下载
There’s also an export button (for a given filtered table), but this creates a .xlsx spreadsheet, which is again inconvenient to work with.。Line官方版本下载对此有专业解读
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