输出必须是 JSON，字段固定：
——“树立和践行正确政绩观，起决定性作用的是党性”
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.。关于这个话题，im钱包官方下载提供了深入分析
「我未曾深入研究，也不認為這是我的職責範圍。」
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你可能错过的好文章具透 Plus：Obsidian 有了命令行界面，Android 17 Beta 真的在「战未来」了
Which camera to buy obviously depends on what you shoot. If it’s mostly things like extreme sports, skiing or other adventurous activities, the best choice is obviously an action camera from GoPro, DJI or Insta360. Then, you just need to decide whether you want to shoot flat or 360 video, and whether you need a tiny or regular-sized model. The same goes for gimbal-style cameras from DJI and others.。关于这个话题，搜狗输入法下载提供了深入分析