Example: a globally recognized philanthropic organization posts 15 pages worth of reporting in paragraph format re: which organization they donated, the funding amount, what the general purpose of the funds are.
Is there any AI technology currently, that could scan those pages, and pull out information such as: average gift amount, what the c-suite demographic is for the organization that received funds, if the organization is in good financial standing or even in existence anymore, etc.
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Possible. These kind of data is better represented in knowledge graphs. I watched a few videos of Paco Nathan. He did similar work I think.
LLMs are getting more capable for both building knowledge graphs and also consuming them. In the future they will be more involved. I heard when you do a google search, the things that appear on the right of the page is coming from a knowledge graph (possibly built by an AI from wikipedia).
I am mostly working around fine tuning LLMs towards better human alignment. Since they are full of hallucinations, a knowledge graph based RAG would be appropriate to refer to. But building them needs time and effort..