Unverified50% confidenceFactExact time
FewHumans is an open-source library for deciding which samples should go to human annotation, fusing human labels with judge labels using prediction-powered inference (PPI), and determining when to stop annotating.
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10/19/2026
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UnverifiedRecommended practices for building a human-annotated set include: sampling by coverage, oversampling failure cases, having two people annotate independently, first measuring human-to-human agreement as an upper bound, adjudicating disagreements into a single gold label, and splitting into a calibration set and a holdout set.61% similarUnverifiedPromptfoo can cover all three evaluation layers—large models, knowledge bases, and agents—making it suitable for testing teams whose purpose is to determine whether software can go live.59% similarUnverified使用开源招聘数据集前应进行缺失值分析、分布检验和与已知基准的交叉验证以应对来源偏差、幸存者偏差和标注偏差59% similarUnverifiedRetaining a Human-in-the-Loop manual review node during the early validation stage can reduce the risk of errors and help collect feedback to iterate on the system.58% similar
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