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FastBERT is a BERT variant that uses only 0.3% of its neurons during inference, achieving similar performance to other BERT models. It selectively engages 12 out of 4095 neurons per layer using fast feedforward networks, resulting in significant speedup.
https://arxiv.org/abs//2311.10770
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
By Igor Melnyk5
33 ratings
FastBERT is a BERT variant that uses only 0.3% of its neurons during inference, achieving similar performance to other BERT models. It selectively engages 12 out of 4095 neurons per layer using fast feedforward networks, resulting in significant speedup.
https://arxiv.org/abs//2311.10770
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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