Results for “genai-evaluation”

Implement iterative evaluation and refinement loops for AI agent outputs, using self-critique, evaluator-optimizer patterns, and rubric-based scoring to improve quality.

Build and run evaluators for AI/LLM applications using Phoenix, covering error analysis, custom evaluators, experiments, and production monitoring.

Runs regression evaluations comparing agent edits against human-approved golden projects, and registers new goldens after human approval.