AssetOpsBench：彌合 AI Agent 評估基準與工業實際應用差距的全新基準測試
Original: AssetOpsBench: Bridging the Gap Between AI Agent Benchmarks and Industrial Reality
In today's era of rapid development in AI Agent technology, how to evaluate the performance of these Agents in real-world settings —…
IBM Research 在 Hugging Face 上推出了 AssetOpsBench 互動遊樂場。這是一項專門針對工業資產營運（AssetOps）設計的 AI Agent 基準測試，旨在解決現有評估工具偏重軟體工程或網頁瀏覽，而缺乏工業實際場景的問題。它評估 Agent 在面對複雜工業手冊、感測器數據及企業資產管理系統時的規劃、工具調用與推理能力。
In today's era of rapid development in AI Agent technology, how to evaluate the performance of these Agents in real-world settings — particularly in industrial environments — has become a challenge shared by both academia and industry. Existing AI Agent benchmarks (such as SWE-bench or WebArena) mostly focus on software engineering, web browsing, or general office tasks, which represents a vast gap from the complexities of industrial operations. To bridge this gap, IBM Research has introduced a new benchmark called "AssetOpsBench" and simultaneously launched an interactive Playground on Hugging Face.
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