Differential Transformer

from Arxiv Papers · host Igor Melnyk

DIFF Transformer enhances attention to relevant context while reducing noise, improving performance in language modeling, long-context tasks, and in-context learning, making it a promising architecture for large language models. https://arxiv.org/abs//2410.05258 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 12, 2024

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Differential Transformer

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