Yes, you certainly could put that on a chip. And people are doing it, for smaller models. The question is how big that chip would be for something like Fable, which is generally estimated in the trillions+ of parameters, and if, given the amount of memory, computation, and bandwidth required - at least with current methods, i.e., very high dimensional matrix math — a chip is the right way to go. Can you put a LM (just a smaller language model) on a chip? Empirically, yes, I believe it is done. Small enough ones probably even fit on a FPGA. Can you put a LLM on a chip? Depends on how L it is! My intuition says that some open smaller models might fit, like Haiku, but not Fable. But that’s just intuition talking.
The hope would be that this unlocks some substantially more efficient or parsimonious math that would fit better on a chip. And that’s clearly my words, not the authors’, per the comment above.
The hope would be that this unlocks some substantially more efficient or parsimonious math that would fit better on a chip. And that’s clearly my words, not the authors’, per the comment above.