
Open-source monitoring and testing for ML models and LLM apps
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1 / 5Production AI systems drift quietly. Evidently AI helps teams catch that by evaluating, testing and monitoring everything from classic ML classifiers to LLM chatbots and agents. The open-source library, released under Apache 2.0, ships with over 100 built-in metrics for data quality, model performance and data drift, and it has more than 20 million downloads. A cloud version adds collaboration for data science teams that need to spot shifting inputs or falling output quality.
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