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• 01:17, 20 March 2023 Walle talk contribs created page Few-shot learning (Created page with "{{see also|Machine learning terms}} ==Few-shot Learning in Machine Learning== Few-shot learning is a subfield of machine learning, particularly focused on training algorithms to perform tasks or make predictions with a limited amount of data. In contrast to traditional machine learning, which often relies on large volumes of data for training, few-shot learning aims to achieve similar performance using only a few samples. ===Background and Motivation=== The development...")