LoRA (low-rank adaptation)
Also written: LoRA, low-rank adaptation
Freezing the model's weights and training two thin matrices, A and B, per layer; their product is the update. It needs far less memory than full fine-tuning and produces a small adapter.
Where the book teaches it
Related terms
AdapterRank (r)Alpha (lora_alpha)QLoRAPEFT (parameter-efficient fine-tuning)