Observability
Domain: MLOps
π― Motivation
Monitoring not just performance but internal model behavior: attention patterns, activation distributions, error patterns.
π Concrete Example
Observability: βLayer 5 activations are unusually high on certain inputs.β This insight helps debug why the model makes specific errors. Deep visibility.
π Analogy
An X-ray for a patient - you see inside the body, not just external symptoms. Observability sees inside the model, not just input-output.