Continuous Learning Through Feedback Deployment

Feedback mechanisms enable lifelong learning in agentic architectures. By continuously interpreting feedback signals from environments and internal states, AI agents can update models incrementally without requiring complete retraining.

Feedback mechanisms enable lifelong learning in agentic architectures. By continuously interpreting feedback signals from environments and internal states, AI agents can update models incrementally without requiring complete retraining.

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