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:
智能体能力的构成为了在各行各业的应用中发挥出显著价值，理想中的智能体需要具备几个关键条件。
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if (arr[i] pivot) break;
ВСУ запустили «Фламинго» вглубь России. В Москве заявили, что это британские ракеты с украинскими шильдиками16:45，更多细节参见爱思助手下载最新版本