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AI Observability: Monitoring LLM Applications in Production

Latency and errors are not enough. Tracking quality, cost-per-request and hallucination signals for systems whose output is probabilistic.

Marcus Feld10 min read
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Latency and errors are not enough. Tracking quality, cost-per-request and hallucination signals for systems whose output is probabilistic.

Written by

Marcus Feld

Senior Writer, AI Infrastructure

Marcus covers GPU infrastructure, LLM serving and MLOps. He has built inference platforms for teams shipping models to production.

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