LABELING DATA FOR INTELLIGENT SYSTEMS

Labeling Data for Intelligent Systems

Data labeling is a crucial process in developing intelligent systems. It involves attaching tags to data points, which allows machine learning algorithms to understand patterns and generate predictions. High-quality labeled collections are essential for teaching AI models to perform tasks such as speech synthesis. The nature of the labeling process

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