No, they're actually training weights based on context before compaction. Context is context, this is splitting the model into persistent weights and malleable ones which are periodically updated.
Wouldn’t that be extremely computationaly expensive considering how resource incentive training is?
Wouldn’t that be extremely computationaly expensive considering how resource incentive training is?