LoRA and PEFT: Make Model Adaptation Modular, Not Free
Parameter-efficient finetuning cuts the state required to adapt a model by freezing its base weights. Learn how LoRA works, why rank and target modules matter, and when separate adapters improve serving instead of merely moving the tradeoff.