[rockinghigh]

They add new data to the existing base model via continuous pre-training. You save on pre-training, the next token prediction task, but still have to re-run mid and post training stages like context length extension, supervised fine tuning, reinforcement learning, safety alignment ...

[astrange]

Continuous pretraining has issues because it starts forgetting the older stuff. There is some research into other approaches.