Feedback loops: Enhancing AI data quality with human expertise
How feedback loops in AI work In AI and machine learning, a feedback loop is a continuous, iterative process designed to improve the performance of an AI model and make it more reliable and accurate over time. During data annotation, a team of expert annotators will label, enriche, and expand on an initial dataset to […]