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How to Quantitatively Measure the Accuracy of RAG Model-Generated Answers Compared to Expert Responses in Dental Sciences?

  • Thread starter Thread starter niranjan ruas
  • Start date Start date
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niranjan ruas

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I’m working on a project that involves generating answers to a set of frequently asked questions (FAQs) related to dental sciences using a Retrieval-Augmented Generation (RAG) model. To evaluate the performance of the RAG model, I want to quantitatively measure the accuracy of its answers compared to standard answers provided by dental professionals and doctors.

I have both sets of answers (expert and RAG-generated) for the same questions, and I’m looking for effective methods or metrics to compare them

I’d love to hear your thoughts or suggestions. Has anyone here worked on similar projects or can recommend effective methodologies or tools for quantitatively measuring answer accuracy in this context?
<p>I’m working on a project that involves generating answers to a set of frequently asked questions (FAQs) related to dental sciences using a Retrieval-Augmented Generation (RAG) model. To evaluate the performance of the RAG model, I want to quantitatively measure the accuracy of its answers compared to standard answers provided by dental professionals and doctors.</p>
<p>I have both sets of answers (expert and RAG-generated) for the same questions, and I’m looking for effective methods or metrics to compare them</p>
<p>I’d love to hear your thoughts or suggestions. Has anyone here worked on similar projects or can recommend effective methodologies or tools for quantitatively measuring answer accuracy in this context?</p>
 

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