Medical Instruction of Traditional Chinese Medicine Based on VisualGLM-6B Fine-Tuning Training

Abstract

Traditional Chinese medicine as an important component of traditional Chinese medicine, has a wide range of application value. Because the traditional Chinese medicine plays an important role in the treatment of diseases, it is necessary to conduct in-depth research and analysis to guide clinical application. The accuracy of traditional Chinese medicine research methods is relatively low because of the influence of human factors and the small number of samples. In order to solve this problem, in recent years, deep learning-based traditional Chinese medicine research methods have gradually emerged. Among them, VisualGLM-6B fine-tuning training is a Chinese medicine research method based on deep learning method, which can improve the accuracy of the model through fine-tuning training of Chinese medicine, and provide more accurate support for the medical guidance of Chinese medicine. Therefore, this paper will be based on VisualGLM-6B fine-tuning training, to study its application effect in Chinese medicine guidance, in order to improve the effect and quality of clinical application of Chinese medicine, to make greater contributions to human health