The model is probably excellent. The problem here is AGI having various definitions and many of them getting narrowed down to whatever makes benchmark numbers look good.
I'm not sure how you call a model AGI without it learning new information at the model level and not introducing nasty surprises (both from adversarial users and unintentional badness)
I guess there is fine tuning (and RAG) for those that need something bigger than just the knowledge contained in the context.
I'm not sure how you call a model AGI without it learning new information at the model level and not introducing nasty surprises (both from adversarial users and unintentional badness)
I guess there is fine tuning (and RAG) for those that need something bigger than just the knowledge contained in the context.