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Unsupervised training data and neural scaling have led to larger models, but memory bandwidth is now the main bottleneck in AI applications, requiring architecture and strategy redesign.
https://arxiv.org/abs//2403.14123
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
Unsupervised training data and neural scaling have led to larger models, but memory bandwidth is now the main bottleneck in AI applications, requiring architecture and strategy redesign.
https://arxiv.org/abs//2403.14123
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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