AI Ops & Deployment
Observability
AI Ops & Deployment· Intermediate
Definition
The ability to understand the internal state of an AI system from its external outputs — through logging, metrics, tracing, and alerting. AI observability extends traditional software observability to cover model inputs/outputs, token usage, latency, cost, and quality metrics.
Tags
#logging#tracing#metrics#debugging#production
MS
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