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
License
Apache License V2.0Follow LangKit
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