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:
贫困是顽疾,“顽”在成因复杂、难以根除、极易反复。
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generated code may not always be optimal or efficient
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