Overview As we delve deeper into the world of Parameter-Efficient Fine-Tuning (PEFT), it becomes essential to understand the driving forces and methodologies behind this transformative approach. In this article, we will explore how PEFT methods optimize the adaptation of Large Language Models (LLMs) to specific tasks. We will unravel the advantages and disadvantages of PEFT, … Continue reading Parameter-Efficient Fine-Tuning of Large Language Models with LoRA and QLoRA