Presented by Justin Barber, AI Institute, Iliff School of Theology, Michael Hemenway, AI Institute, Iliff School of Theology
See Barber and Hemenway's Presentation
Abstract: Deep learning has revolutionized how machines analyze, interpret, and generate language. Machines have indeed become important and accessible collaborators in the construction of meaning from language. Scholars and students in the humanities now have easy access to hundreds of cutting-edge deep learning models that can aid them in their work. Join us this week to acquaint yourself with some highly accessible programming tools that require very little coding, and consider with us how these tools might further and even transform our understanding and interpretation of human language. Click here for the Colab notebook mentioned in the talk.