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BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts
BAM enhances Mixture of Experts by fully utilizing dense model parameters, improving efficiency and performance in large language models, surpassing baselines in perplexity and downstream tasks.
https://arxiv.org/abs//2408.08274
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
BAM enhances Mixture of Experts by fully utilizing dense model parameters, improving efficiency and performance in large language models, surpassing baselines in perplexity and downstream tasks.
https://arxiv.org/abs//2408.08274
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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