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:
Nature, Published online: 26 February 2026; doi:10.1038/d41586-026-00583-z
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Banner Health作为医院的管理方,针对性地推出了四大策略,既解决了“招不来”的问题,也守住了“留得住”的底线。
def save(self, item: Item) - None: