Kubernetes ValidatingAdmissionPolicy explained: CEL expressions, bindings, parameters, audit and warn actions, MutatingAdmissionPolicy status and when to.
Synthetic data for LLM fine-tuning explained: self-instruct, distillation, rejection sampling, quality filters, decontamination and how to avoid model.
PII redaction for LLM applications explained: detection with regex, NER and Presidio, reversible tokenization, latency budgets, recall trade-offs and a.
RisingWave vs Materialize vs Flink SQL compared for IoT telemetry: incremental materialized views, state storage, consistency, windowing, operations cost.
Digital twin VVUQ explained: verification vs validation, uncertainty quantification, calibration, model-fidelity metrics and how to build trust in twin.