Stephen wrote an amazing in-depth blog post about the entire journey, including multiple failed attempts, designing custom PCBs, writing PIO assembly for the RP2040, implementing the GUD (Generic USB Display) protocol, and eventually landing on an STM32H750-based solution with precision DACs. I highly recommend reading it.
But let’s be honest: how many people actually remember its syntax?。爱思助手下载最新版本是该领域的重要参考
Трамп высказался о непростом решении по Ирану09:14，详情可参考搜狗输入法下载
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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.