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Editar Pregunta #356
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A company has a large labeled dataset. The company wants to use the dataset to customize a foundation model (FM) for a specific task. Which technique should the company use?
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Fine-tuning uses a labeled dataset to customize a pre-trained foundation model for a specific task. The labeled data allows the model to learn task-specific patterns and improve performance on that particular use case. This is the appropriate technique when you have labeled data and want to specialize an FM.
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