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  5. Feedback Loop
Data & Datasets

Feedback Loop

A cycle where a system's outputs influence its future inputs — in AI, user corrections and ratings feed evaluation or training.

Ask Melo about this← all terms

Thumbs up/down, edits, retries, and support tickets are all feedback. Closed loops improve the product; unfiltered loops can amplify bias, sycophancy, or popular but wrong answers. Teams usually split online evaluation from offline retraining so a few noisy days of traffic cannot rewrite the model.

Related terms

Data FlywheelPreference DataHuman EvaluationData QualityData NormalizationDeidentification