Sequential training of multiple tasks followed by unsupervised sleep-like replay partially restores performance across all previously learned tasks in neural networks.
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Explicit memory modeled on the hippocampus is the cornerstone needed to advance LLMs to AGI because their implicit statistical learning cannot produce higher cognitive functions.
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Not Just After One: Sleep-Inspired Replay Prevents Catastrophic Forgetting After Sequential Tasks
Sequential training of multiple tasks followed by unsupervised sleep-like replay partially restores performance across all previously learned tasks in neural networks.