most citedOpen-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CY2023★ 5 cited

Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives

Elizabeth Seger, Noemi Dreksler, Richard Moulange +19

Recent decisions by leading AI labs to either open-source their models or to restrict access to their models has sparked debate about whether, and how, increasingly capable AI mode…