Abstract: Intelligent diagnosis and treatment of traditional Chinese medicine is an important direction for the modern development of traditional Chinese medicine. Large language model technology has promoted the development of artificial intelligence. Combining it with traditional Chinese medicine to build intelligent diagnosis and treatment methods and applications of traditional Chinese medicine driven by large language models is of great significance to the innovative development of traditional Chinese medicine. On the basis of analyzing and summarizing the challenges faced by intelligent diagnosis and treatment of traditional Chinese medicine, it is proposed to build research ideas and methods for intelligent diagnosis and treatment of traditional Chinese medicine driven by large language models based on large language models, covering corpus preparation, knowledge representation, instruction fine-tuning and reinforcement learning, in order to provide reference for intelligent research on traditional Chinese medicine diagnosis and treatment.