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Feb

Human-in-the-Loop: Combining Human Expertise with AI for Superior Labeling Accuracy

In the world of artificial intelligence, data labeling serves as the foundation for training machine learning models. While automated labeling techniques have made significant strides, the complexity of real-world data often requires human intervention to ensure accuracy and reliability.  This is where the “Human-In-The-Loop” (HITL) approach comes into play, combining human expertise with AI for superior labeling […]

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