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基于Qwen2+SFT+DPO的医疗问答系统,项目中使用了自定义的 SFTTrainer/DPOTrainer/TRPOTrainer用于训练,其次,项目还调用各种知识库工具(neo4j, milvus, LDA, 等)进行自动化训练数据生成。另外,使用 vllm 用于推理和部署训好的模型, 该模型会通过 vllm API 来接入一个基于 embedder + Reranker 的 RAG 系统。另外还参考 MDAgents 论文实现了一个多智能体会诊系统,同样也支持 vllm api 接入。

  • Updated Jan 4, 2026
  • Python

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