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CI/CD for ML Models: Testing Beyond Unit Tests
How to build CI/CD for ML systems with data validation, schema checks, shadow evaluations, and deployment gates that go beyond ordinary application unit tests.
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MLOps
5 min read
Building an Eval Pipeline That Catches Regressions Before Users Do
How to build an evaluation pipeline for ML and LLM systems that continuously catches regressions in quality, policy behavior, cost, and runtime health before they hit production users.
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