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README.md
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GAIR-ProX, a subsidiary of [GAIR](https://huggingface.co/GAIR), spearheads the ProX Project. This initiative aims to enhance pre-training efficiency by refining corpus documents using language models at scale. Through meticulous operations (e.g., document-level filtering and chunk-level cleaning), implemented as scalable, executable programs, ProX seeks to improve pre-training data quality at scale, ultimately developing more robust and efficient language models.
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<a href="https://huggingface.co/gair-prox" target="_blank">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/628f6e5ab90dde28ef57d293/gfqBTSEIa140Hu-mfo9Qe.png" alt="Clickable Image" />
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</a>
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GAIR-ProX, a subsidiary of [GAIR](https://huggingface.co/GAIR), spearheads the ProX Project. This initiative aims to enhance pre-training efficiency by refining corpus documents using language models at scale. Through meticulous operations (e.g., document-level filtering and chunk-level cleaning), implemented as scalable, executable programs, ProX seeks to improve pre-training data quality at scale, ultimately developing more robust and efficient language models.
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