Where does the training data for a model like this actu...

The training data for a large language model is not simply ‘the internet.’ It is the product of a systematic pipeline that begins with crawling raw web data. This data undergoes extraction, filtering, and deduplication to ensure quality and relevance. The volume of data is massive; for instance, a pipeline might start with 20 TB of raw data per snapshot and reduce it to 750 GB of clean, tokenized data. Providing a specific, technical breakdown of this pipeline is essential to demonstrating an understanding of how models are actually built.