Scaling Retrieval-Based Language Models with a Trillion-Token Datastore by jsendak | Jul 9, 2024 | Cosmology & Computing | 0 comments Scaling laws with respect to the amount of training data and the number of parameters allow us to predict the cost-benefit trade-offs of pretraining language models (LMs) in different… Submit a Comment Cancel replyYour email address will not be published. Required fields are marked *Comment * Name * Email * Website Save my name, email, and website in this browser for the next time I comment. Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.