This Month in Datadog - October 2024

This Datadog article explains how annotating LLM traces—adding metadata about inputs, outputs, and expected behavior—significantly improves LLM observability and quality. By tagging traces with specific details, teams can pinpoint the root cause of issues like hallucinations or inaccurate responses, leading to faster debugging and model refinement. Ultimately, annotation enables proactive monitoring and improvement of LLM performance beyond just basic metrics.