March 15, 2024, 4:48 a.m. | Dong Yuan, Eti Rastogi, Gautam Naik, Jai Chintagunta, Sree Prasanna Rajagopal, Fen Zhao, Sagar Goyal, Jeff Ward

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.09057v1 Announce Type: new
Abstract: LLMs are revolutionizing NLP tasks. However, the most powerful LLM, like GPT-4, is too costly for most domain-specific scenarios. We present the first continuously trained 13B Llama2-based LLM that is purpose-built for medical conversations and measured on automated scribing. Our results show that our model outperforms GPT-4 in PubMedQA with 76.6\% accuracy and matches its performance in summarizing medical conversations into SOAP notes. Notably, our model exceeds GPT-4 in capturing a higher number of correct …

13b abstract arxiv automated conversations cs.ai cs.cl domain gpt gpt-4 however llama2 llm llms medical nlp results show tasks type

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