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submitted 1 week ago by jeffw@lemmy.world to c/technology@lemmy.world

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[–] jacksilver@lemmy.world 2 points 1 week ago (1 children)

With these kinds of models you can't ever stop training them, otherwise you reach a point where the data becomes dated and thus the model is dated.

Think world events. Say another bird flu became a pandemic. The model can only know about that if it's trained on those events.

There are systems (Rag) that can answer questions based on additional content, but that would only work on a subset of problems/situations.

[–] Fizz@lemmy.nz 1 points 1 week ago

Oh true i did not consider that they require constant training to stay up to date.