I believe he is suggesting we turn them into very large breasts, or in some cases big booties, depending on your preference and what part of the world you’re in.
Fixed it. We don’t use this silly silicon word here. I picked the wrong one. We call it Silicium
Sodium is Natrium, Potassium is Kalium, Aluminum is Aluminum etc.
Interesting, your words match the periodic table better.
But, even with that, I’m not sure what you’re proposing. The models (data) are already stored in silicon. They’re on SSDs or HDDs inside data centers. But, to use those models you need to do inference which (at least for the big American models) requires a data center. It’s not like you could do it on some gadget you carry in your pocket.
There are much smaller models that allow you to do that. But, because they’re smaller models they aren’t as accurate at the word generation game.
There are companies working in this direction already. And regarding model size the Chinese models aren’t as large as the American ones. Not on the same level but still usablzand if I had one in a little box in my office I could run it 24/7 with lightning speed which would probably make up for the model performance difference.
It’s already possible with GDX Spark and similar hardware but it’s relatively slow, can’t run the full size models and pretty expensive.
The models are data, and silicone is rubber. So… I don’t know what you’re proposing here.
I believe he is suggesting we turn them into very large breasts, or in some cases big booties, depending on your preference and what part of the world you’re in.
That is correct. Very comforting
Fixed it. We don’t use this silly silicon word here. I picked the wrong one. We call it Silicium Sodium is Natrium, Potassium is Kalium, Aluminum is Aluminum etc.
Interesting, your words match the periodic table better.
But, even with that, I’m not sure what you’re proposing. The models (data) are already stored in silicon. They’re on SSDs or HDDs inside data centers. But, to use those models you need to do inference which (at least for the big American models) requires a data center. It’s not like you could do it on some gadget you carry in your pocket.
There are much smaller models that allow you to do that. But, because they’re smaller models they aren’t as accurate at the word generation game.
I mean this: https://en.wikipedia.org/wiki/Application-specific_integrated_circuit
There are companies working in this direction already. And regarding model size the Chinese models aren’t as large as the American ones. Not on the same level but still usablzand if I had one in a little box in my office I could run it 24/7 with lightning speed which would probably make up for the model performance difference.
It’s already possible with GDX Spark and similar hardware but it’s relatively slow, can’t run the full size models and pretty expensive.