[QA] Teaching Transformers Modular Arithmetic at Scale

from Arxiv Papers · host Igor Melnyk

This paper enhances modular addition in machine learning by introducing diverse training data, angular embedding, and a custom loss function, improving performance for cryptographic applications and other modular arithmetic problems. https://arxiv.org/abs//2410.03569 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

Episode metadata supplied by the publisher feed · Published Oct 7, 2024

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[QA] Teaching Transformers Modular Arithmetic at Scale

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