This paper explores using large language models for hyperparameter optimization and finds that they can perform as well or better than traditional methods, suggesting they are a promising tool for improving efficiency in this area.

https://arxiv.org/abs//2312.04528

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