Task similarity refers to the degree of relatedness between different learning tasks, impacting how knowledge and skills acquired in one task can be applied to another. Understanding task similarity is crucial in meta-learning, as it influences the effectiveness of transferring learned experiences from one task to others, thereby enhancing the learning process and improving model performance in various applications.
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