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That would be really really cool if I could able to serve that space. I'd be curious to know what kind of features you'd want to have, what would be deal-breake
by bealuga 4y ago
That would be really really cool if I could able to serve that space. I'd be curious to know what kind of features you'd want to have, what would be deal-breakers, etc!
- MaxikCZ 4y agoNot person with original question but he asks for the same feature as I would like to see. I am not sure how the documents are handled in your product, since Chat GPT has a context limit that probably wont be able to hold longer papers in memory. For me, I have a pdf[0] depicting a system that can be programmed, along with bits of pseudo-code and a lot of clarifications. Something that the Chat GPT could use to spit out an actual implementation, if it were able to "think" about the pdf as a whole. I would love to see if your product is capable of such feat. [0]: https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1177&context=sciendoc https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1177&c... Drive-Based Utility-Maximizing Computer Game Non-Player Characters by Colm Sloan (note that basically only chapter 3 is needed in this case, but its still over 40 pages long)
- dash2 4y agoBasic setup: point it at a folder of PDFs, have it recurse in and read them all, then ask it questions like: * Summarize these papers on chimpanzee cooperation in the wild. What other papers should I be reading? * Suggest an interesting master's thesis topic on the early modern economy. * How good are polygenic scores at predicting educational attainment, and how has this developed over time? Bonus: integrate it with e.g. google scholar, so it can go and find and read new papers. Pricing: it is probably easier to start selling this to individual academics. Then when you've got a compelling product and the word is out, you could sell it to the whole lab (at a much higher price because people can put it in their grant budgets). Gotchas: privacy. Nobody wants their hot unpublished paper to be scooped by a large language model.