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Why Observability Matters for AI Applications: A Deep Dive into LLM Monitoring
Sally O'Malley explains the unique observability challenges of Large Language Models (LLMs) and demonstrates how to implement an open-source observability stack using vLLM, Llama Stack, Prometheus, Grafana, and OpenTelemetry. She discusses key metrics for monitoring performance, cost, and quality, and the importance of tracing for debugging AI workloads.
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