// sentryml · detection engineering live · 23 guides
// reference index
// featured Detection engineering for AI systems.
Engineering-focused coverage of ML observability and MLOps. Model monitoring, drift detection, training/serving skew, debugging production model failures, evaluation pipelines, and the tooling that actually works at scale.
23 guides published
tooling
Federated Learning in Production: What Substra Actually Does for Privacy-Pr…
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// latest
OpenAI Tops Gartner's Coding-Agent Quadrant. Now You Own a Production ML System. monitoring Jun 2 The ML Monitoring Metrics Taxonomy: Drift, Data Quality, and Model Decay monitoring May 22 OpenTelemetry GenAI Semantic Conventions: Instrument LLM Apps monitoring May 22 Model Monitoring for LLM Inference: Metrics Your APM Can't See monitoring May 15 SmithDB and Five Other Things LangChain Shipped at Interrupt 2026 tooling May 13 Watermarking Should Be Treated as a Monitoring Primitive monitoring May 13 LLM Fine Tuning: Methods, Training Data, and Evaluation mlops May 11
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