{"library":"lit-nlp","type":"library","category":null,"description":"LIT (Learning Interpretability Tool) is an open-source platform from PAIR (People + AI Research) at Google for visualizing and understanding machine learning models. Version 1.3.1 supports interpretability of generative AI, including sequence salience for LLMs, and can be deployed on Google Cloud with public container images. Releases occur approximately every 6 months.","language":"python","status":"active","version":"1.3.1","tags":["interpretability","machine learning","nlp","visualization","google"],"last_verified":"Mon Apr 27","install":[{"cmd":"pip install lit-nlp","imports":["from lit_nlp import dev_server","from lit_nlp.api.types import SimpleMultilabelPreds"]}],"homepage":"https://pair-code.github.io/lit","github":"https://github.com/PAIR-code/lit","docs":null,"changelog":null,"pypi":"https://pypi.org/project/lit-nlp/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}