Model -from Scratch- Pdf -2021 _best_: Build A Large Language

In 2021, you didn't have "The Pile" v2 or RedPajama out of the box. You had to build your own dataset.

The first and perhaps most critical stage in this process is dataset preparation. In a 2021 context, the prevailing wisdom revolved around the "WebText" methodology. Engineers would curate massive datasets by scraping the internet, focusing on high-quality text sources. The standard pipeline involved downloading Common Crawl data, filtering for English text, and applying aggressive de-duplication strategies to prevent the model from memorizing specific passages. Tokenization followed this curation, typically utilizing Byte Pair Encoding (BPE) algorithms. The goal was to compress the raw text into a numerical representation that the model could process efficiently, with vocabulary sizes usually ranging between 30,000 and 50,000 tokens. Build A Large Language Model -from Scratch- Pdf -2021

Here is a pdf version of this :

— High-level introduction to the transformer architecture and the GPT design. Chapter 2: Working with Text Data In 2021, you didn't have "The Pile" v2