Sifter 是一款新的、本地运行的分类器，专为小型、重复性任务设计，这些任务对于云服务来说过于琐碎。它允许用户用少量示例训练模型，确保数据隐私和固定的成本结构。该工具使用一个开放权重的句子模型 (all-MiniLM-L6-v2)，并优先标记不确定性而不是做出错误的猜测。 AI
影响 为常见的、小规模的分类任务提供了注重隐私、成本效益的云 AI 替代方案。
排序理由 这是对一个新软件工具的描述，而不是前沿发布、重要的行业举措或学术研究。
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