LoRA

LoRA is one of the most widely used PEFT techniques for adapting large models efficiently. Instead of fully updating the base weights, it learns low-rank additive matrices. This reduces training cost while preserving strong task adaptation flexibility. It has effectively become a standard tool in modern LLM customization.