Parameter-efficient Fine-tuning (PEFT)

Definition

PEFT focuses on enhancing performance while minimizing compute costs associated with training large-scale models, allowing deployment across varied environments, especially beneficial where limited resources are available.

When Parameter-efficient Fine-tuning (PEFT) is used

Low-resource scenarios

Which positions need this?

Researchers

Problem

High costs associated with deploying traditional fine-tuning approaches make it impractical for certain applications.

Example of how Parameter-efficient Fine-tuning (PEFT) is used in AI

A startup uses PEFT techniques to adapt an existing transformer model effectively, producing high-quality outputs without incurring significant overhead.