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>I was hoping for that this year, but: split of LLMs into databases and reasoning

This hasn't worked out because knowing what to query and how to query requires intelligence, and that's contained in weights.



Splitting knowledge out doesn't mean you need to drop weights. Just that it needs to become independent / attachable.

To some extent we've already seen this with MoE and Frankenstein models.




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