Attention-based architectures are a powerful force in modern AI. In particular, the emergence of in-context learning abilities enables task generalization far beyond the original next-token prediction ...

Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States ...

x-Tesla AI lead, Andrej Karpathy gave a one hour general-audience introduction to Large Language Models. The core technical component behind systems like ChatGPT, Claude, and Bard. What they are, ...

Log-linear models are important when the goal of a certain research project is to see if there is a statistical relationship between two or more variables. It’s usually used when variables used in the ...

Implementation of the Log-linear classifier and the MLP1 classifier from Assignment 1 in ׳Deep Learning for Texts and Sequences' course using PyTorch ...

This paper reviews several common challenges encountered in statistical analyses of epidemiological data for epidemiologists. We focus on the application of linear regression, multivariate logistic ...