aka Low-Rank Adaptation

LoRA

A parameter-efficient fine-tuning method that freezes the base model and trains small low-rank update matrices on top.

LLMs

BACKLOG · WORK IN PROGRESS

This term is being written.

The metadata and shape of this page are stable, but the body content isn't ready yet. We'll publish it once it meets the bar of teaching something new with worked examples and real tools.

Back to wiki Track progress on GitHub