This works, but it's slow.
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:
。业内人士推荐搜狗输入法2026作为进阶阅读
老爸心软，他不仅不愿意用这种残忍的方式，还希望牛群能经常晒晒太阳，为此还专门拓展出个牛棚的外院，搭出一方露天的铁护栏。只是那铁护栏，隔个十天半个月的就被牛撞破了，于是，老爸也隔个十天半个月，就在田间地畔追着牛跑。
also enable prompt reuse, which is very cache friendly.