Assessment of the Japanese national examination for pharmacists using locally fine tuned large language models
Nature
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Researchers evaluated four locally deployable large language models on the Japanese National Examination for Pharmacists, achieving accuracies between 55.2% and 76.4%. Fine-tuning with Low-Rank Adaptation improved model performance, highlighting benefits for sensitive data contexts.
