What sets apart fine-tuning from retraining an LLM is primarily the extent of data and computational resources needed.
Initiating the training process for an LLM starting from the ground up demands an extensive collection of textual data and substantial computational capabilities. On the other hand, fine-tuning necessitates a smaller data volume and reduced computational capacity.