AI Data Curation — Quality, Filtering & Deduplication
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Curated resources on AI data curation, quality filtering, deduplication, decontamination, data selection and training-data pipelines. • 19 items • Updated
Curation
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AI & ML interests
AI data curation for training and post-training: filtering, deduplication, quality scoring, decontamination and dataset selection. Collaboration: agenten@magenta.de
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