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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A low threshold preserves detail (more leaf nodes, less compression). A high threshold merges aggressively (fewer leaves, more compression, but the image gets blocky). The grid overlay shows the quadtree structure: large cells in uniform areas, small cells where detail is preserved.。Line官方版本下载对此有专业解读
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The transaction is transmitted throughout the network.