Claude is unreliable. I’ll do it myself. For training, I split all texts into sentences using Chinese punctuation, cleaned non-Chinese/English characters, then used scikit-learn’s TF-IDF → LinearSVC. After cleaning up some noise, sentence-level classification still hit 85% accuracy!
Since I adopted this, I am able to work in parallel with 4 to 8 agents. After 8+ agents it’s hard to keep up and the quality of my decisions suffer.
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例如，青海依托年均仅3.4摄氏度的冷凉气候，数据中心可实现全年超300天自然冷却，其制冷耗电量比全国平均水平低约40%，将电能利用效率PUE值控制在1.2以下的先进水平，于是，全国首个100%清洁能源可溯源的绿色大数据中心便在青海建成。
trajectory-viewer.tsx # MD animation player with controls