Want to create an interactive transcript for this episode?
Podcast: Arxiv Papers
Episode: [QA] Computational Bottlenecks of Training Small-scale Large Language Models
Description:
This study investigates the training behavior and computational requirements of Small-scale Large Language Models (SLMs), focusing on hyperparameters and configurations to enhance efficiency and support low-resource AI research.
https://arxiv.org/abs//2410.19456
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