[QA] Hardware-Efficient Attention for Fast Decoding

from Arxiv Papers · host Igor Melnyk

This paper presents Grouped-Tied Attention and Grouped Latent Attention to enhance LLM decoding efficiency, reducing memory transfers and latency while maintaining model quality and improving throughput. https://arxiv.org/abs//2505.21487 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 May 28, 2025

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[QA] Hardware-Efficient Attention for Fast Decoding

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