Agent Arena用百万真实任务测模型自主能力,看看谁在复杂工作流里最靠谱。
Agent Arena是一个评估模型在真实世界、长期智能体任务上的排行榜。该排行榜基于全球用户贡献的百万级任务数据。模型需使用网络搜索、文件系统和终端工具完成复杂工作流。性能评估采用因果追踪方法,测量各模型相对于平均模型的表现。
Check out the Agent Arena leaderboard to dive into the details: https://t.co/qNgm4b5vwT In Agent Ar...
Check out the Agent Arena leaderboard to dive into the details: arena.ai/leaderboard/ag… In Agent Arena, we measure models on millions of real-world, long-horizon agentic tasks from a global community of users. Models can access web search, filesystem, and terminal tools to complete complex workflows. The leaderboard measures model performance on outcomes relative to the average model using a causal tracing methodology. 💬 0 🔄 0 ❤️ 1 👀 481 ⚡