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Q-Sparse: All Large Language Models can be Fully Sparsely-Activated

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Manage episode 429749470 series 3524393
Content provided by Igor Melnyk. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Igor Melnyk or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Q-Sparse is an efficient method for training sparsely-activated large language models, achieving comparable results to baseline models while significantly improving inference efficiency and reducing costs.

https://arxiv.org/abs//2407.10969

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

--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support

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1641 episodes

Artwork
iconShare
 
Manage episode 429749470 series 3524393
Content provided by Igor Melnyk. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Igor Melnyk or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Q-Sparse is an efficient method for training sparsely-activated large language models, achieving comparable results to baseline models while significantly improving inference efficiency and reducing costs.

https://arxiv.org/abs//2407.10969

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

--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support

  continue reading

1641 episodes

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