Parameter-Efficient Fine-Tuning (PEFT)

In our journey so far, we've witnessed the profound impact of full fine-tuning, a method that meticulously adapts every parameter of a model to a new task. This power, however, comes at a great computational cost, demanding significant GPU memory and time that can place the adaptation of large models out of reach for many. This chapter introduces Parameter-Efficient Fine-Tuning (PEFT), a paradigm that encompasses a collection of brilliant techniques designed to make model adaptation more accessible and efficient.