From Zero to Leaderboard: Agent Evaluation — Wolfram Ravenwolf, Weights & Biases
An agent repairs a broken git repository and earns a perfect score, but the run stays out of the default leaderboard because it tested only one task.
Proof1 independent outlet
Key points
- Wolfram Ravenwolf uses that distinction to build an evaluation pipeline where every score can be traced back to its conditions.
- WolfBench compares the average, best and worst runs, the tasks solved at least once, and the tasks solved every time.
- The live workflow launches a Terminal Bench task through Harbor, collects the results, filters incomplete runs in a Marimo dashboard, and turns valid runs into an interactive leaderboard.
- 5:48 - The five WolfBench metrics
Sources (1)
- [1]From Zero to Leaderboard: Agent Evaluation — Wolfram Ravenwolf, Weights & BiasesAI Engineer (YouTube) · Oct 11, 05:00 PM
An agent repairs a broken git repository and earns a perfect score, but the run stays out of the default leaderboard because it tested only one task.
Wolfram Ravenwolf uses that distinction to build an evaluation pipeline where every score can be traced back to its conditions.
Extractive summary: sentences quoted from the sources.
Hype check
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