The difference is that this inserts adapter layers on top of the model. In contrast, LoRA decomposes the model weight matrices using low-rank decomposition. So, LoRA increases finetuning performance by reducing…
The difference is that this inserts adapter layers on top of the model. In contrast, LoRA decomposes the model weight matrices using low-rank decomposition. So, LoRA increases finetuning performance by reducing…