AI BriefingClaw-Eval Benchmark for AI Agents (GitHub Repository)
Key point
The Claw-Eval benchmark, which verifies LLM agents using 139 real-world tasks, has been released.
Details
Claw-Eval is a human-verified benchmark for evaluating LLM agents. Based on 139 real-world tasks, it measures how well agents perform in environments close to actual work.
The evaluation environment consists of a Docker sandbox, multiple service integrations, and a structured scoring method. Beyond simply checking whether answers are correct, it is designed to more realistically verify the ability to perform complex tasks.
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