Results for “evaluation-performance”

Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance using the ax CLI.

Build evaluation frameworks for agent systems, covering rubric design, test set creation, and automated evaluation pipelines.

Evaluate and rank agent results by metric or LLM judge for an AgentHub session.

Rates an agent's own output on five axes — accuracy, completeness, clarity, actionability, conciseness — producing a structured scorecard with evidence and improvement suggestions.

Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles.

Build evaluation frameworks for agent systems with deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, and outcome measurement.

Creates and manages AI agent teams for complex engineering tasks, with model routing, cost optimization, and performance evaluation.