Edge 333: Understanding Parameter Efficient Fine Tuning

An overview of PEFT, one of the most important fine-tuning methods ever created;

Created Using Midjourney

In this Issue:

1. An overview of parameter efficient fine tuning(PEFT).

2. A review of the original PEFT paper.

3. Using Ray Train for fine tuning language models.

💡 ML Concept of the Day: Understanding Parameter Efficient Fine Tuning

Continuing our series about fine tuning techniques in foundation models, today we would like to explore one of the most important schools of thought in this area. Parameter efficient fine tuning(PEFT) has emerged as one of the most important methods for fine-tuning foundation model sparking different variations and new techniques.