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:
当他开始学习电影，他必须问自己：“有什么事情是我真的能做得最好，或者说我个人对电影有什么独特的看法？”答案渐渐清晰，“我觉得家族历史是我能做得好的事情，也是我非常感兴趣的，而且还能理解我家人的过去”。
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河南南阳市，南水北调白河倒虹吸工程。