What Makes HITL in Active Learning Ideal for Smarter Annotation?
In the era of data-driven intelligence, the success of machine learning models hinges on the quality and quantity of labeled data. Yet, manually labeling vast datasets is time-consuming, expensive, and often inefficient. Enter the dynamic duo: Human-in-the-Loop (HITL) annotation and active learning. Together, they create smarter, more efficient workflows by strategically integrating human expertise into … Read more →