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That's a real nice idea. I especially like how it is aware of the context of a selection. Looking at the network requests, it seems pricey to run though, as it appears to use a whole page as input.
E.g. to test context I asked it "what is EtF"? There is no such acronym in the paper, but they mention English-to-French and that was the answer.
So how do you use GPT-3 for that? Do I understand correctly that the papers are to big to fit into its input window but you need to still take it as a whole into consideration? Is part of creating such service engineering some input prompt which is concatenated with what user writes? Using the playground I always found the input window size to be a huge limitation.
I've also been seing Astria, AvatarAI, (which apply Dreambooth to avatars) et al being launched recently, which is really wild. I think we'll see alot of builders applying ML to real UX.
Other interesting builder in the twitter maker space @miguelpiedrafita Which has done several AI related projects from a youtube video whisperer to srt subtitle to now building an AI script making tool, and also an auto-commit tool to make your commit messages for you.
I love to see the experimentation in the space, and now I'm thinking I need a bot to @savepapers which sends them to a readpaperlater which lets me read them/annotate in explainpaper ui
Can you explain more about what you mean by feeding context from the paper into the prompt? Also, how expensive is this to run? I’d love to build some fun projects on GPT-3, but I haven’t dug into whether that’s cost prohibitive.
Can you explain more about what you mean by feeding context from the paper into the prompt? Also, how expensive is this to run? I’d love to build some fun projects on GPT-3, but I haven’t dug into whether that’s cost prohibitive.