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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微调 — 加载基础模型，准备 JSONL 数据集，使用 TRL/SFTTrainer 进行训练，保存到云端硬盘，推荐阅读WPS官方版本下载获取更多信息
来到 2026 年，跟很多制造企业一样，绿联是横竖都发展。，这一点在safew官方下载中也有详细论述