Feedback

Sat, 18 Jul 2026 09:32:26 +0000

Definition

Feedback mechanisms allow AI systems to learn from their interactions with users or environments, refining future predictions or actions. This includes reinforcement learning signals, human-in-the-loop corrections, or automated error monitoring. By analyzing discrepancies between expected and actual outcomes, models can update their parameters or decision logic, leading to enhanced accuracy and adaptability over time in dynamic settings.

Summary

Feedback involves using output results to adjust and improve the performance of an AI model or system iteratively.

Improvement on English AI Terms Dictionary

Feedback

Definition

Summary