https://hackerpaper.kaipfister.de/p/2410.11840/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=42491054urn:hackerpapers:mention:2410.11840:42491054Mon, 23 Dec 2024 02:01:40 GMT<p>This is literally just the scaling laws, &quot;Scaling laws predict the loss of a target machine learning model by extrapolating from easier-to-train models with fewer parameters or smaller training sets. This provides an efficient way for practitioners and researchers alike to compare pretraining decisions involving optimizers, datasets, and model architectures&quot; https://arxiv.org/html/2410.11840v1#:~:text=Scaling%20laws%2....</p><p><a href="https://hackerpaper.kaipfister.de/p/2410.11840/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.LGhttps://news.ycombinator.com/item?id=41856586urn:hackerpapers:submission:2410.11840:41856586Wed, 16 Oct 2024 07:45:30 GMT<p>A Hitchhiker&#x27;s Guide to Scaling Law Estimation</p><p></p><p>1 point; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2410.11840/">Paper and source history</a>. A submission is not an endorsement.</p>cs.LG