still around, although declining in use, in the 1970s. The 3612 had a slot on
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.
OpenAI 将消耗 2 吉瓦的 Trainium 算力用于训练和推理。。WPS下载最新地址是该领域的重要参考
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