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Overview
Deepchecks is an Israeli company founded in 2019 that provides open-source and commercial testing for machine learning and large language model applications. Its libraries validate data integrity, model performance and drift before deployment, and its evaluation product scores generated answers for correctness and hallucination. It is used by teams that want continuous testing rather than one-off validation.
News
How to Test Machine Learning Models
How testing machine learning code differs from testing 'normal' software and why your textbook model evaluation routines do not work.
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Deepchecks snags $14M seed to continuously validate ML models
As companies increasingly build machine learning models, DeepChecks, an Israeli startup can help by continuously validating the model.
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Deepchecks raises $14M to validate machine learning models continuously
Deepchecks raises $14M to validate machine learning models continuously - SiliconANGLE
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Deepchecks raises $14M for ML validation
The new offering aims to establish a machine learning safety and predictability standard, bridging the gap between research and production.
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