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Google unveils sleep framework to help LLMs retain knowledge
Original: Sleep framework: A new way for LLMs to retain knowledge in continual learning
Google Research has introduced what it calls a sleep framework, a new approach aimed at helping large language models retain knowledge during continual learning. The method takes inspiration from how sleep consolidates memory, letting models integrate new information without forgetting what they previously learned, a longstanding problem known as catastrophic forgetting in machine learning.
Why now: Google published new research addressing catastrophic forgetting, a well-known unsolved problem in AI that developers are keen to see progress on
Google Researchlarge language models
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