Parameter Efficient Fine Tuning

Parameter-Efficient Fine-Tuning (PEFT) is a technique that minimizes the adjustment of model parameters to adapt to new tasks. This method aims to efficiently fine-tune pre-trained models with limited computational resources while maintaining their performance on the initial task, making it highly valuable in practical applications.