Adapter
Llama 3.0
Chat
Adapter
Llama 3.0
Summary
This demo uses the society guidelines on esophageal diseases to aid providers in addressing complex related clinical scenarios. This is possible thanks to our recently developed tools leveraging RAG techniques. We can easily create vector datastores from papers, webpages, and data sets and retrieve the nearest semantically related and contextually relevant documents for a particular search query. The LLM can then use these records to enhance the prompt by giving it the relevant, vetted context needed to answer queries in a fashion that is consistent with the information stored in the vector datastore.
Code
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Model
Send email to ai@uky.edu.