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Recently, large language models (LLMs) have showcased remarkable capabilities in natural language understanding. While demonstrating proficiency in everyday conversations and question-answering (QA) situations, these models frequently struggle in domains that require precision, such as medical applications, due to their lack of domain-specific knowledge. In this article, we describe the procedure for building a powerful, open-source language model specifically designed for medicine applications, termed as PMC-LLaMA.
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Chaoyi Wu
Weixiong Lin
Xiaoman Zhang
Journal of the American Medical Informatics Association
Shanghai Jiao Tong University
Shanghai Artificial Intelligence Laboratory
Shandong Jiaotong University
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Wu et al. (Sat,) studied this question.
www.synapsesocial.com/papers/68e6f4b7b6db64358766f138 — DOI: https://doi.org/10.1093/jamia/ocae045
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