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The functionality that would interest me would be something incorporated into a DISCORD environment would be if it were able to read and parse within the hierarchy of the DISCORD, and to be able to respond to details about the contents. Specifically, the DISCORD I am interested in has a lot of diverse information regarding trading stocks, options and other quantitative material spread over multiple folders. What is really needed is to articulate a query and to have the helper search through the whole of the DISCORD it is embedded in to try to answer the query in an intelligent way that goes beyond simply indexing or searching on keywords. I am aware that there is a DISCORD helper (TLDR) that sort of does this, but it is a rather dumb application that does not have integration of the query and the locally indexed material along with the wider training database of GPT4, or any other LLM, which is what would be a really useful innovation? Many thanks
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The functionality that would interest me would be something incorporated into a DISCORD environment would be if it were able to read and parse within the hierarchy of the DISCORD, and to be able to respond to details about the contents. Specifically, the DISCORD I am interested in has a lot of diverse information regarding trading stocks, options and other quantitative material spread over multiple folders. What is really needed is to articulate a query and to have the helper search through the whole of the DISCORD it is embedded in to try to answer the query in an intelligent way that goes beyond simply indexing or searching on keywords. I am aware that there is a DISCORD helper (TLDR) that sort of does this, but it is a rather dumb application that does not have integration of the query and the locally indexed material along with the wider training database of GPT4, or any other LLM, which is what would be a really useful innovation? Many thanks
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