Johns Hopkins study finds LLMs discover more when trained on one-off facts

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• A recent study conducted by Johns Hopkins University reveals that large language models achieve greater discovery potential when trained on unique, one-off facts.
• The researchers suggest that data curation strategies for artificial intelligence should be rethought, placing an emphasis on distinct information to better maximize the technology's overall capability for enabling future scientific breakthroughs.

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