Understanding LoRA: Parameter-Efficient Fine-Tuning for Modern LLMs

Large Language Models (LLMs) and foundation models like LLaMA, GPT, and ViTs have billions of parameters. As these models scale, traditional full fine-tuning—updating every weight in the network—becom