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MIT's new fine-tuning method lets LLMs learn new skills without losing old ones

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MIT's new fine-tuning method lets LLMs learn new skills without losing old ones

Content overview: “MIT's new fine-tuning method lets LLMs learn new skills without losing old ones”. When enterprises fine-tune LLMs for new tasks, they risk breaking everything the models already know. This forces companies to maintain separate models for every skill.Researchers at MIT, the Improbable AI Lab and ETH Zurich have developed a new technique that enables large language models to learn Nova Global News curates publicly available headlines and summaries with source attribution.

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