experiment-analyzer

To analyze LLM experiment results, you can compare single or multiple experiments to evaluate performance differences, data quality, and reliability. This process generates concise summaries and actionable insights with direct Datadog UI dashboard links.

Summarizing LLM experiment performance involves reviewing experiment events and metric values to produce concise structured insights. You can use exploratory mode to browse results or Q&A mode to answer specific performance questions.

Yes, you can compare two LLM experiments directly by providing two experiment IDs. The analysis uses Datadog APIs to retrieve experiment summaries, events, and metric values, revealing performance differences and reliability between the two runs.

Getting actionable insights from LLM experiment metrics requires analyzing dimension values and event data across experiments. The output provides structured recommendations and direct links to Datadog dashboards to help you decide which designs perform best.

Analyzing LLM experiments requires providing one or two experiment IDs. You can also include an optional specific question to activate Q&A mode for targeted analysis instead of a general exploratory review of the experiment data.