Structuring AI Evaluation and Observability with MLflow: From Development to Production
Summary
MLflow now offers enhanced tools for structuring AI evaluation and observability, including new APIs and UI features for logging LLM calls, prompts, responses, and metrics. This enables practitioners to systematically track, compare, and analyze model performance and behavior across development and production, facilitating iterative improvement and robust monitoring.
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