LangKit is an open-source text metrics toolkit for monitoring language models. It offers an array of methods for extracting relevant signals from the input and/or output text, which are compatible with the open-source data logging library whylogs. Productionizing language models, including LLMs, comes with a range of risks due to the infinite amount of input combinations, which can elicit an infinite amount of outputs. The unstructured nature of text poses a challenge in the ML observability space - a challenge worth solving, since the lack of visibility on the model's behavior can have serious consequences.

Features

  • Readability score
  • Similarity scores between prompt/responses
  • Text Relevance
  • Sentiment and Toxicity
  • Security and Privacy
  • Sentiment analysis

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License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python Artificial Intelligence Software, Python Observability Tool

Registered

2023-07-13