2 ms·
I think there's still a lot of room "relatively" to move around but my current opinion is that hardware isn't where we would want it to ideally be to have next
by razodactyl 2y ago
I think there's still a lot of room "relatively" to move around but my current opinion is that hardware isn't where we would want it to ideally be to have next level LLMs everywhere.
We've seen the trend of distilling models at what seems to be the cost of more nuanced ability to iterate and achieve correct results.
I'm very convinced LLMs can go much further than we've achieved so far but I'm very welcoming of newer techniques that will improve accuracy / efficiency and adaptability.
- ianbutler 2y agoSo you see it more of a matter of time until the next leap, depending on how long it takes for hardware bottlenecks to be addressed? I'm assuming we're talking on at least the order of years from your perspective? Based on how long it would take for new chips or some type of training asic.