Ultimately, if you can build an ultra tiny model that can talk and learn on the fly, you've just fully localized a personal assistant like Siri.
Ultimately, if you can build an ultra tiny model that can talk and learn on the fly, you've just fully localized a personal assistant like Siri.
Not exactly "minimal viable", but a "what if RNNs where good for LLMs" case study.
-> insanely fast on CPUs
Edit: The fact this runs on a Smartphone means it is highly relevant. My only thing is, how do we give such a model an "unlimited" context window, so it can digest as much as it needs. I know some models know multiple languages, I wouldnt be surprised if sticking to only English would reduce the model size / need for more hardware and make it even smaller / tighter.
I doubt it would be able to make good use of a large context window, though.