GAIR-ProX

GAIR-ProX, a subsidiary of 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.

Read our technical report!