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I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.

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When adapting to a ReadableStream, a bit more work is required since the alternative approach yields batches of chunks, but the adaptation layer is as easily straightforward:。业内人士推荐同城约会作为进阶阅读

-probesize 500M \