作为美国顶级医院之一的 Mayo Clinic 采用了一种新颖的技术来应对这一挑战。为了取得成功,该医疗机构必须克服检索增强生成 (RAG) 的局限性。这是大语言模型从特定相关数据源获取信息的过程。该医院采用了本质上是反向 RAG 的方法,模型先提取相关信息,然后将每个数据点链接回其原始源内容。
To tackle data-retrieval-based hallucinations in non-diagnostic use cases, Mayo Clinic has applied CURE reverse RAG paired with vector databases.
The Beacon on MSN4 天
A surge in mental health care needs for uninsured Kansans could lead to cuts in servicesCommunity health centers have to take patients regardless of ability to pay. More patients are coming in and many don’t have ...
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