What is multi-task learning and how does it work? A. It trai…
What is multi-task learning and how does it work? A. It trains several related tasks simultaneously by sharing a common model architecture and features.B. It develops separate models for each task and combines their predictions after independent training.C. It fine-tunes a pretrained model on one task before moving sequentially to the next task.D. It partitions the dataset into smaller parts, training one task per partition to reduce complexity.
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