HuaTuo — это специализированная языковая модель на базе LLaMA, адаптированная для нужд современной медицины. Благодаря обучению на экспертных данных, этот ИИ демонстрирует высокую точность в диагностике и ответах на сложные медицинские вопросы, превосходя универсальные нейросети в своей нише.
Large Language Models (LLMs), such as the LLaMA model, have demonstrated their effectiveness in various general-domain natural language processing (NLP) tasks. Nevertheless, LLMs have not yet performed optimally in biomedical domain tasks due to the need for medical expertise in the responses. In response to this challenge, we propose HuaTuo (华 驼), a LLaMA-based model that has been supervised-fine-tuned with generated QA (Question-Answer) instances. The experimental results demonstrate that HuaTuo generates responses that possess more reliable medical knowledge