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:
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Москвичи пожаловались на зловонную квартиру-свалку с телами животных и тараканами18:04。业内人士推荐同城约会作为进阶阅读
顺应“势”。场景内容重构，催生了“小正餐” “特色主食刚需” “一人食”的新红利。一人食将成为未来的主流，尤其是50元以下客单价品类，甚至正餐都会走向“1+1”模式，即各自点餐、合并买单。自选快餐、麻辣烫早已实现这一模式。香港港式茶餐厅的核心就是这种消费行为，只是因品类老化，未能适配大陆消费者需求。