τ-bench: A New Benchmark to Evaluate AI Agents’ Performance and Reliability in Real-World Settings with Dynamic User and Tool Interaction

Current benchmarks for language agents fall short in assessing their ability to interact with humans or adhere to complex, domain-specific rules—essential for practical deployment. Real-world applications require agents to seamlessly engage with users and APIs over extended interactions, follow detailed policies, and maintain consistent and reliable performance. For example, an airline booking agent must communicate […]

The post τ-bench: A New Benchmark to Evaluate AI Agents’ Performance and Reliability in Real-World Settings with Dynamic User and Tool Interaction appeared first …

agents ai agents ai paper summary ai shorts apis applications artificial intelligence benchmark benchmarks current deployment domain dynamic editors pick humans interactions language language model machine learning performance practical reliability rules staff tech news technology tool world