Researchers propose a self-distillation fix for ‘catastrophic forgetting’ in LLMs

InfoWorld
Feb 12, 2026, 5:19 am93 ptsTrending
A new fine-tuning technique aims to solve “catastrophic forgetting,” a limitation that often complicates repeated model updates in enterprise deployments. Researchers at MIT, the Improbable AI Lab, and ETH Zurich have introduced a fine-tuning method designed to let models learn new tasks while preserving…

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