Unlocking Efficiency with PEFT: The Ultimate Guide to Parameter Efficient Fine Tuning for LLMs

Introduction: In the realm of Large Language Models (LLMs), fine-tuning has become the preferred method to tailor models for specific tasks, offering a reduction in computational costs, time, and dataset requirements compared to pretraining. However,...