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[short] Learning to Route Among Specialized Experts for Zero-Shot Generalization
The paper introduces lmttPHATGOOSE, a method for improving zero-shot generalization by adaptively choosing specialized language model experts for each token and layer.
https://arxiv.org/abs//2402.05859
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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By Igor Melnyk
5
33 ratings
The paper introduces lmttPHATGOOSE, a method for improving zero-shot generalization by adaptively choosing specialized language model experts for each token and layer.
https://arxiv.org/abs//2402.05859
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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