Testing and validation for ML and LLM systems
Deepchecks offers checks that catch data and model problems before they reach production. The open-source library works on tabular, vision and NLP models, while the LLM product evaluates generated outputs.
You can run suites on training data, new releases or live traffic. Reports flag drift, leakage and weak segments.
It is a practical safety net for ML teams.
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