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    Home»Artificial Intelligence»Building Trust in LLM Answers: Highlighting Source Texts in PDFs | by Angela & Kezhan Shi | Dec, 2024
    Artificial Intelligence

    Building Trust in LLM Answers: Highlighting Source Texts in PDFs | by Angela & Kezhan Shi | Dec, 2024

    Team_AIBS NewsBy Team_AIBS NewsDecember 27, 2024No Comments1 Min Read
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    100% accuracy isn’t the whole lot: serving to customers navigate the doc is the actual worth

    Towards Data Science

    So, you’re constructing a RAG system or utilizing an LLM to talk with paperwork. However customers usually ask: how can we belief the solutions?

    Furthermore, we steadily hear about hallucinations, which undermine customers’ belief.

    If we construct an software however fail to point out customers the place the solutions come from, the applying may grow to be unusable in some instances.

    On this article, I’ll share an strategy to deal with this concern. By linking each reply generated by the LLM to its supply textual content within the doc, we will construct transparency and belief. This technique not solely offers clear proof for the solutions but additionally permits customers to confirm the outcomes instantly throughout the PDF.

    Typically, the generated reply might not be completely correct, however having the ability to find the proper supply textual content is already useful for the person.

    Let’s take an instance of this paper from arxiv.org. We will think about this use case:

    Picture by writer — presentation of the doc

    Step one on this strategy is to extract the textual content from the PDF in a structured format.



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