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[QA] Star Attention: Efficient LLM Inference over Long Sequences
from Arxiv Papers Hosted by Igor Melnyk
Star Attention enhances Transformer-based LLMs' efficiency by using a block-sparse approximation, reducing memory and inference time by up to 11x while maintaining high accuracy. https://arxiv.org/abs//2411.17116 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
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This episode is 7 minutes long.
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This episode was published on November 28, 2024.
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