3 ms·
> In future are we going to have same model for everything? A model that knows more in general, will often be better at specific tasks. e.g. If you ask a model
by xnx 5mo ago
> In future are we going to have same model for everything?
A model that knows more in general, will often be better at specific tasks. e.g. If you ask a model to "make a program that estimates the annual production of a solar installation", it needs to have been trained on a lot more than just Python code.
- lifty 5mo agoYou might combine a general world model with a python coding model in that case. Not sure if it's better, just saying.
- lukeschlather 5mo agoWhat's the difference between a "general world model combined with a python coding model" and a multimodal LLM?
- JumpCrisscross 5mo ago> A model that knows more in general, will often be better at specific tasks Is this your hypothesis or broad conclusion among AI experts?
- xnx 5mo agoI'm not an expert, but I believe it's an accepted phenomenon that https://en.wikipedia.org/wiki/Transfer_learning https://en.wikipedia.org/wiki/Transfer_learning is more broadly applicable than expected. I think there was a paper that showed an AI trained on multiple games outperformed one trained on a single game. (Maybe it was https://deepmind.google/blog/sima-2-an-agent-that-plays-reasons-and-learns-with-you-in-virtual-3d-worlds/ https://deepmind.google/blog/sima-2-an-agent-that-plays-reas... ?)