AI Agents That Matter

A new paper discusses the challenges of evaluating AI agents and offers solutions for better benchmarking. 'AI agents that matter' outlines proposals for cost-controlled evaluations, accuracy-cost optimization, and improved standardization to advance practical AI agent development.

• AI agents can perform tasks such as booking flights or finding software bugs.
• This paper proposes addressing challenges in agent evaluation.
• The authors are affiliated with Princeton University.
• Two recent AI agent products failed to meet expectations.
• The paper underscores the importance of standardized agent benchmarking.