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Eigenlayer is a fundamental concept in the realm of machine learning and neural networks, particularly in the context of deep learning. It's a term rooted in linear algebra, specifically pertaining to eigenvalues and eigenvectors, which play a crucial role in understanding the transformations within neural networks.