A pretraining objective defines the self-supervised task a model learns before fine-tuning, like predicting masked words or next sentences. It helps models grasp language patterns and context from unlabeled data. Researchers and developers benefit by creating versatile base models that transfer efficiently to downstream tasks, reducing reliance on expensive labeled datasets.
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