Article

Synthetic Data Distillation Enables the Extraction of Clinical Information at Scale

2024-09-28

Abstract excerpt

Large-language models (LLMs) have shown promising potential for extracting information from clinical notes. Deploying these models at scale can be challenging due to high computational costs, regulatory constraints, and privacy concerns. To address these challenges, we used synthetic data distillation to fine-tune smaller, open-source LLMs that achieve performance similar to that of larger models, including the te...

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Literature Corpus work: 61a50027-7b96-580c-bf55-ff94568133b4
DOI: 10.1101/2024.09.27.24314517

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