The paper explores how large language models learn different concepts in various layers, showing deeper layers grasp more complex tasks. Implications for model learning are discussed.

https://arxiv.org/abs//2404.07066

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