Parameter-Efficient Fine-Tuning - What is parameter efficient fine-tuning for LLM?

A method for optimizing a subset of parameters in an already-trained Large Language Model (LLM) is known as Parameter-Efficient Fine-Tuning (PEFT). To use this strategy, one must first introduce new parameters to the LLM, freeze their current values, and then use a smaller dataset to fine-tune the new parameters.