Jack Rae

AI Research Scientist (MSL) at Meta

Rae led Chinchilla, which showed that many large language models were too big for the amount of data used to train them. Its simpler recipe—train a smaller model on much more data—reshaped how frontier labs spend computing resources and influenced a generation of more efficient language models.