AI
AI confidence: when an 80% prediction should mean something
Distinguish probability calibration from classification accuracy, read reliability diagrams carefully, and evaluate calibrated models without leaking training information.
Artificial intelligence.
Models, tools and the ideas behind intelligent systems.
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AI
AI predictive maintenance: turn sensor data into a defensible decision
Connect vibration measurements, condition indicators and machine-learning outputs without mistaking anomaly detection for an exact prediction of equipment failure.
AI
Evaluating RAG: retrieval, groundedness and completeness are different tests
Build a clearer evaluation plan for retrieval-augmented AI by separating search quality, supported answers and coverage instead of trusting one overall score.
AI
AI quantization: making a model smaller without skipping the checks
Explore lower-precision weights, calibration and the evaluation needed before calling a compressed model ready for real use.
AI
Why retrieval makes AI more useful
How semantic search connects an AI answer to relevant documents—and why finding a source is only the beginning of checking a claim.
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