Increasing Transformer model size doesn't always improve performance. A theoretical framework using associative memories and Hopfield networks explains memorization and performance dynamics in transformer-based language models.

https://arxiv.org/abs//2405.08707

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