Model probing for understandable, reliable, and fair NLP
Learn how to navigate LIT and use it to analyze different types of models.
Discover the basics
A Tour of LIT
Get familiar with the interface of the Learning Interpretability Tool.
Conducting analysis in LIT
Prompt Engineering with Sequence Salience
Learn how to debug and iterate on prompt designs in LIT with the Sequence Salience module.
Salience Maps for Text
Learn how to use salience maps for text data in LIT.
Tabular Feature Attribution
Learn how to use the Kernel SHAP based Tabular Feature Attribution module in LIT.
Global Model Analysis with TCAV
Learn about examining model behavior through user-curated concepts.
Exploring a Sentiment Classifier
Learn about how we used LIT to analyze a sentiment classifier.
