ShanghaiTech University Knowledge Management System
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: |
DOI | arXiv:2304.01097 |
相关网址 | 查看原文 |
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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 |
修改评论
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。