3 ms·
What it will come down to is computational efficiencies. We don’t want to retrain once a month - we want to retrain continuously. We don’t want one agent talkin
by acchow 2y ago
What it will come down to is computational efficiencies. We don’t want to retrain once a month - we want to retrain continuously. We don’t want one agent talking to 5 LLMs. We want thousands of LLMs all working in concert.
- ActorNightly 2y agoThis and also the way models are trained has to be rethought. BPP is good for figuring out complex function mappings, but not for storing information.
- pbhjpbhj 2y agoSounds like something that has unsustainable energy costs.
- deleted 2y ago[deleted]