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  5. Data Flywheel
Data & Datasetsaka data loop

Data Flywheel

A self-reinforcing cycle where a deployed model generates user interactions that become training data for the next version.

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Products that capture corrections, ratings, successful trajectories, and failed ones can turn production traffic into a compounding dataset. The flywheel only works if you filter quality, respect consent and PII, and avoid training on your own mistakes. It is why consumer chat products with huge usage can improve faster than a one-shot research release.

Related terms

Training DataPreference DataPIISynthetic DataActive LearningTokenizer Vocabulary