The Role of Human-in-the-Loop Workflows in Improving Text Annotation Quality
Artificial intelligence models rely on high-quality training data to understand language, recognize intent, and generate meaningful responses. Whether an AI system powers a customer support chatbot, extracts information from business documents, or analyzes customer sentiment, its performance depends heavily on the accuracy of its annotated datasets. However, achieving consistent text annotation...
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