AI model development relies heavily on high-quality labeled data for training purposes. The more precise the labeling, the more accurate the model will be. Traditionally, this process has been manual & labor-intensive, requiring teams of human annotators to review and label vast amounts of data. However, as AI models evolve, so must the methods for labeling data.
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