Cosmopedia is a new project that aims to provide synthetic data for pre-training Large Language Models. The project creates large-scale datasets by generating text based on Wikipedia articles, books, and other sources. This allows researchers to train models without relying on real-world data, which can be biased or sensitive. Cosmopedia's dataset includes over 1 billion tokens of text, making it a significant resource for the AI community. --- Why it matters: This matters because pre-training Large Language Models requires large amounts of high-quality data, which is often difficult to obtain. Cosmopedia addresses this issue by providing synthetic data that can be used as an alternative or supplement to real-world data. Source: https://huggingface.co/blog/cosmopedia