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ORCA-bench: How Ready Are Language Model Agents for Oncall?
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- ORCA-bench evaluates language model agents on production root cause analysis tasks using real telemetry data, finding best performance of 25.3% accuracy on medium-difficulty incidents.
- 为何重要
- Site reliability engineers and platform teams considering AI agents for oncall incident response need to understand current capability gaps before deployment.
- 注意
- Results come from a curated 50GB testbed; real production systems are vastly larger, more dynamic, and more complex, making reported performance a lower bound.
收听本摘要
- agent
- language model
- reasoning
- benchmark
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