Learning Interpretability Tool
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.

#### Debugging a Text Generator

Learn about how we used LIT to debug summarization by a text generation model.

#### Gender Bias in Coreference

Learn how we used LIT to explore gendered associations in a pronoun resolution model.
Google Research - Language
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