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Preference optimization boosts safe responses in banking agents from 52% to 80%, while reinforcement learning enhances edge-case performance significantly with fewer tokens generated.
The latest AI City Challenge reveals that integrating foundation models with synthetic data design can significantly boost performance in complex urban scenarios.