The researchers compared two versions of OLMo-1b: one pre-trained on 2.3 trillion tokens and another on 3 trillion tokens.

Larger models can pull off a wider variety of feats, but the reduced footprint of smaller models makes them attractive tools.

Highly reduced order models with nonlinear contact – extremely efficient computation. Modeled as linear components interconnected with highly reduced-order components. 1-linear reduced model, ...

In this module, we will introduce generalized linear ... model. In this module, we will consider how to model count data. When the response variable is a count of some phenomenon, and when that count ...