AI agents can pass evaluations but fail in production due to unanticipated autonomy issues. This highlights a significant gap between evaluation benchmarks and real-world reliability, underscoring the need for stricter bounds on agent behavior and continuous refinement based on actual failures rather than anticipated scenarios.
Read the full article at Towards AI - Medium
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