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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95% software depends on OSS
Like the Evo, the Shot 3 Retro features an LCD screen — albeit a much smaller one — that lets you decide whether to print a shot. It also supports Bluetooth, and you can use the Kodak Photo Printer app to upload photos to social media or print decent, relatively crisp images from your phone. Unlike the Evo, however, the Shot 3 Retro retails for around $170 and includes a pack of film. It also uses cheaper film; you can often pick up a 60-sheet cartridge for under $20. The cheaper arguably encourages creative experimentation, even if the large 3 x 3-inch square prints feel lower in quality and more flimsy than those from both Fujifilm and Polaroid.，详情可参考快连下载-Letsvpn下载