S-LoRA: Enabling Thousands of Large Models on a GPU
Machine Heart reports Editor: Danjiang Generally, the deployment of large language models adopts a “pre-training – then fine-tuning” approach. However, when fine-tuning the base model for numerous tasks (such as personalized assistants), the training and service costs can become extremely high. Low-Rank Adaptation (LoRA) is a parameter-efficient fine-tuning method, typically used to adapt the base … Read more