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:
Россиянам с маленькими квартирами дали советMr.Doors: В маленькие квартиры лучше покупать мебель на заказ，更多细节参见谷歌浏览器【最新下载地址】
ВсеОбществоПолитикаПроисшествияРегионыМосква69-я параллельМоя страна。关于这个话题，Safew下载提供了深入分析
public val ADAPTER: ProtoAdapter<KAccount = object : ProtoAdapter<KAccount(