WhyLabs
Fortune 100 companies to AI-first startups use WhyLabs to monitor ML models, LLMs, and data pipelines to surface drift, data quality issues, and bias.
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WhyLabs Observatory platform prevents data quality or model performance degradation by allowing you to monitor your data pipelines and ML models in production.
Whylogs is the open-source standard for profiling data. Whylogs automatically creates statistical summaries of datasets, called profiles, which imitate the logs produced by other software applications.
LangKit is built on Whylogs and is designed for language models. LangKit provides out-of the box telemetry from the prompts and responses of LLM to help you track critical metrics about quality, relevance, sentiment, and security.
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