MedChatZH

Generative Large Language Models (LLMs) have achieved remarkable success in various natural language processing tasks, including question answering and dialogue systems. However, most models are trained on English data and lack strong generalization capabilities in providing Chinese answers. To address this problem, the research team launched MedChatZH, a dialogue model optimized for TCM question answering, based on the transformer decoder of the LLaMA architecture. By micro-training on a carefully selected medical guidance dataset…