Percy Liang @percyliang

Marin believes strongly in the power of the open community. There are so many datasets that have been produced, living on Hugging Face. We have built scalable infrastructure that ingests this data, performs deduplication, decontamination, mixing, producing 25T tokens. [引用 @WilliamBarrHeld]: There’s an enormous amount of open training data on Hugging Face. What does it take to make it work together 🤗? For Marin’s 535B run, we built on 25T tokens from 152 datasets with licenses permitting training. Here’s the work between downloading those and training a model 🧵 https://t.co/gjX7jT7qIq