FrontierAI.Engineer
MLOps, LLMOps & Observability

Model Version Pinning

Model version pinning means calling a specific, dated model snapshot rather than a floating alias the provider can update underneath you. Pinning makes behavior reproducible and protects evaluations from silent quality shifts when a vendor ships a new version. Upgrades then become a deliberate, tested step: pin the new version, re-run the eval suite, and promote only if it passes.