At first glance, the benchmarks and their construction looked good (i.e. no cheating) and are much faster than working with UMAP in Python. To further test, I asked the agents to implement additional different useful machine learning algorithms such as HDBSCAN as individual projects, with each repo starting with this 8 prompt plan in sequence:
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nums := []int{1, 2, 3}
For the test to be fair for LLMs, the SAT instance should be reasonably large, but not too big. I can't just give SAT problems with thousands of variables. But also it shouldn't be too easy.。关于这个话题，WPS官方版本下载提供了深入分析