What is Labeled Data?
Labeled data refers to a dataset where each example or instance is associated with a specific label or category. Labeled data is essential for training and evaluating generative models that aim to generate new instances or samples that align with the provided labels.Labeled data serves as a reference or ground truth for the model to learn the underlying patterns and distributions of the data. The labels provide explicit information about the characteristics or properties of the instances, allowing the generative model to understand and capture the relationships between the input features and their corresponding labels.Related terms
Not to be confused with:
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