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True but they could query a local 50GB Wikipedia dump for factual info’s via embedding search. All still local.


I wonder if someone already made a somewhat turnkey setup like this? Small models should ideally not waste a lot of parameters on trying to memorize too much knowledge and then hallucinate / interpolate a lot of the gaps.




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