LoRA (Low-Rank Adaptation)
A parameter-efficient fine-tuning method that freezes base weights and trains small low-rank matrices, drastically cutting cost.
A parameter-efficient fine-tuning method that freezes base weights and trains small low-rank matrices, drastically cutting cost.