HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge

Wang, Haochun, Liu, Chi, Xi, Nuwa, Qiang, Zewen, Zhao, Sendong, Qin, Bing, Liu, Ting

arXiv.org Artificial Intelligence 

Through The advent of instruction-following large language this process, we collect over 8,000 instruction models (LLMs), representative by Chat-data for supervised fine-tuning. Our model builds GPT(OpenAI, 2022), has generated significant interest upon the open-source LLaMa-7B base model, integrates due to their exceptional performance in understanding structured and unstructured medical knowledge instructions and generating human-like from the Chinese medical knowledge graph responses. Compared to smaller models, LLMs (CMeKG), and employs knowledge-based instruction exhibit strong generalization across various natural data for fine-tuning.

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