Tag
pipelines
- May 6, 2026 Data Validation at Pipeline Boundaries Schema checks, value constraints, and distribution assertions that stop corrupt data before it reaches training, and what each class of check costs. machine learning
- Oct 13, 2025 Transformer State and the Fold Boundary Why every fitted preprocessing object must live inside the cross-validation loop, which statistics actually matter, and how refitting at the end reintroduces the leak. machine learning
- Sep 1, 2025 Training-Serving Skew and the Contract Between Features and Models How the same feature computed in two code paths diverges, why the split is structural rather than a bug, and which checks catch the drift before a model ships. machine learning
- Aug 12, 2025 Warp Specialization and Producer-Consumer Warps How assigning different code to different warps of a block removes divergence at the source, what the handoff between producer and consumer warps costs, and when it loses. gpu computing
- Dec 13, 2024 Feature Definitions as Versioned Artifacts Why a feature needs a name, a query, an owner, and a version, and how change control on feature definitions prevents silently retrained models. machine learning