Rethinking Interpretability in the Era of Large Language Models

Chandan Singh, Jeevana Priya Inala, Michel Galley +2

Interpretable machine learning has exploded as an area of interest over the last decade, sparked by the rise of increasingly large datasets and deep neural networks. Simultaneously…