DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task
2023-04-03
状态已发表
摘要

The recent progress of large language models (LLMs), including ChatGPT and GPT-4, in comprehending and responding to human instructions has been remarkable. Nevertheless, these models typically perform better in English and have not been explicitly trained for the medical domain, resulting in suboptimal precision in diagnoses, drug recommendations, and other medical advice. Additionally, training and deploying a dialogue model is still believed to be impossible for hospitals, hindering the promotion of LLMs. To tackle these challenges, we have collected databases of medical dialogues in Chinese with ChatGPT's help and adopted several techniques to train an easy-deploy LLM. Remarkably, we were able to fine-tune the ChatGLM-6B on a single A100 80G in 13 hours, which means having a healthcare-purpose LLM can be very affordable. DoctorGLM is currently an early-stage engineering attempt and contain various mistakes. We are sharing it with the broader community to invite feedback and suggestions to improve its healthcare-focused capabilities:

DOIarXiv:2304.01097
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出处Arxiv
WOS记录号PPRN:53757063
WOS类目Computer Science, Interdisciplinary Applications
文献类型预印本
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/348385
专题信息科学与技术学院_博士生
信息科学与技术学院_硕士生
信息科学与技术学院_本科生
生物医学工程学院_PI研究组_沈定刚组
生物医学工程学院_PI研究组_王乾组
作者单位
1.ShanghaiTech Univ, Shanghai, Peoples R China
2.Shanghai Jiao Tong Univ, Shanghai, Peoples R China
3.United Imaging Intelligence, Shanghai, Peoples R China
4.Fudan Univ, Huashan Hosp, Shanghai, Peoples R China
推荐引用方式
GB/T 7714
Xiong, Honglin,Wang, Sheng,Zhu, Yitao,et al. DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task. 2023.
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