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Hi community,
We all seen the boom of inference models and I seen recently those models used or derivates to data extraction.
I'm far away to be expert on the subject and I did not found a topic on this subject so I would be happy to get some helps on the feasibility and potentially how would you do so.
I seen a example of data extraction where we provides a huge document of text, then we provide a query like "What are the places described here?" or "When this document become effective?" and the return would formulate an answer based on the document content providing a score and a location of evidence about the question.
I am wondering if some models in combination with LLaMa.cpp would be able to achieve this kind of goals. Like a search in a kind of chat way. Would love to know if there is some solution around there or how could we do this kind of solution.
Thanks in advance.
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Hi community,
We all seen the boom of inference models and I seen recently those models used or derivates to data extraction.
I'm far away to be expert on the subject and I did not found a topic on this subject so I would be happy to get some helps on the feasibility and potentially how would you do so.
I seen a example of data extraction where we provides a huge document of text, then we provide a query like "What are the places described here?" or "When this document become effective?" and the return would formulate an answer based on the document content providing a score and a location of evidence about the question.
I am wondering if some models in combination with LLaMa.cpp would be able to achieve this kind of goals. Like a search in a kind of chat way. Would love to know if there is some solution around there or how could we do this kind of solution.
Thanks in advance.
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