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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.
+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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+<i>Read our [technical report](https://huggingface.co/papers/2409.17115)!</i>