[QA] LoRA vs Full Fine-tuning: An Illusion of Equivalence

This study analyzes the differences between full fine-tuning and LoRA in large language models, revealing distinct weight matrix structures and generalization behaviors despite similar performance on tasks.

https://arxiv.org/abs//2410.21228

YouTube: https://www.youtube.com/@ArxivPapers

TikTok: https://www.tiktok.com/@arxiv_papers

Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016

Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers