守正创新就是注入“活水”。要注重用现代科学解读中医药学原理,说明白、讲清楚中医药的疗效,推动传统中医药和现代科学相结合、相促进,提升中医诊疗的现代化水平。运用国际通用的科学语言打开中医药的“黑箱”,从“经验传承”走向“证据引领”“数据说话”。
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.
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What is the damage from wetter winters?
那么三星的创新点在哪里呢?在于功能的集成度,以及控光精度。
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