FFN Fusion: Rethinking Sequential Computation in Large Language Models

from Arxiv Papers · host Igor Melnyk

FFN Fusion optimizes large language models by parallelizing Feed-Forward Network layers, achieving significant inference speedup and cost reduction while maintaining performance, especially in larger models. https://arxiv.org/abs//2503.18908 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 Mar 25, 2025

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FFN Fusion: Rethinking Sequential Computation in Large Language Models

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