Large language model data pipelines and Common Crawl

This article likely discusses the processes involved in building and maintaining data pipelines for training large language models (LLMs), focusing on the use of Common Crawl as a data source. It would probably cover topics like data extraction, cleaning, filtering, and pre-processing, as well as the challenges and considerations specific to using Common Crawl data.