An interpretability framework to detect and attribute context usage in language models' generations
An open-source library to democratize access to model interpretability for sequence generation models
The first CLIP model pretrained on the Italian language.
A semantic browser for SARS-CoV-2 and COVID-19 powered by neural language models.
Generating letters with a neural language model in the style of Italo Svevo, a famous italian writer of the 20th century.
A journey into the state of the art of histopathologic cancer detection approaches.