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Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention

McDermott, Luke et al.
arXiv (All) · Papers
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machine-learning
Lifelong continual learning remains an obstacle on the path to human-like intelligence. Modern transformers show sparks of intelligence with in-context learning. The quadratic nature of attention, however, prohibits transformers from performing this process on arbitrarily long sequences. In this wor
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