Apple Research Introduces Real-Time Agent Feedback | dailyai.report
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Agents
119d ago
Apple Research Introduces Real-Time Agent Feedback
A new Apple research paper introduces a reviewer agent that evaluates tool-calling trajectories during inference. This method moves error detection into the active execution loop rather than relying on post-hoc analysis. It enables agents to course-correct in real time.
The Signal
Practitioners can now reduce reliance on slow prompt-tuning or retraining to fix tool-selection errors.