Training of models is a one-time cost. If that model gets widespread use, then the cost of creating it in the first place becomes less and less relevant. This means we all would profit from creating “creative commons”-models that can be used privately free of charge, while licensing them out to businesses to finance the costs of licensing material for the next “update” of the CC model. Someone more involved might use his calculator to know the ideal update frequency (6 months? 1 year? if its really expensive maybe every 2 years).
Iirc, the local models you run had to be developed in the hige datacenters first
Training of models is a one-time cost. If that model gets widespread use, then the cost of creating it in the first place becomes less and less relevant. This means we all would profit from creating “creative commons”-models that can be used privately free of charge, while licensing them out to businesses to finance the costs of licensing material for the next “update” of the CC model. Someone more involved might use his calculator to know the ideal update frequency (6 months? 1 year? if its really expensive maybe every 2 years).
Models can be trained on consumer hardware. They’ll just be limited in size and scope compared to larger models.