LABELING DATA FOR INTELLIGENT SYSTEMS

Labeling Data for Intelligent Systems

Data labeling is a crucial process in developing intelligent systems. It involves mapping categories to data points, which allows machine learning algorithms to understand patterns and produce predictions. Accurate labeled samples are essential for training AI models to perform tasks such as speech synthesis. The difficulty of the labeling process

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