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What is Multitask Learning?
Multitask Learning is a machine learning approach where a single model is trained to perform multiple related tasks simultaneously, sharing representations and knowledge across tasks to improve overall learning efficiency and performance. By jointly optimizing for several objectives, the model can generalize better, avoid overfitting, and ...
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