CirrusBench: Evaluating LLM-based Agents Beyond Correctness in Real-World Cloud Service Environments

1. 1Design realistic benchmarks that capture technical complexity and long-horizon dependencies
2. 2Evaluate LLM-based agents in real-world cloud service environments
3. 3Assess robustness and resolution efficiency of LLM-based agents
4. 4Compare results with existing synthetic benchmarks

AI engineers and researchers benefit from CirrusBench as it provides a more realistic evaluation of LLM-based agents, while product managers and developers can use it to improve customer satisfaction in cloud services

💡 Evaluating LLM-based agents in realistic environments is crucial for improving customer satisfaction in cloud services

🚀 CirrusBench: evaluating LLM-based agents in real-world cloud services #AI #LLMs