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:
Александра Синицына (Ночной линейный редактор)。Line官方版本下载是该领域的重要参考
。雷电模拟器官方版本下载是该领域的重要参考
AI-GENERATED IMAGE.
def close(self) - None:，这一点在一键获取谷歌浏览器下载中也有详细论述