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:
A new LSU research study suggests clustered pits in the Pioneer Terra region on Pluto are related to the dwarf planet's suprising robust atmosphere. The pits resemble gas pockmarks on Earth where methane seeps from the subsurface. These pits may supply atmospheric methane on Pluto.
，详情可参考谷歌浏览器【最新下载地址】
胸口：挂饰（全天候记录仪+记忆外挂）；
OsmAnd identifies the clusters containing your start and target points.