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Language models remain relevant, especially for text analysis and improving neural large language models. Modernizing -gram models involves training at the same scale as neural LLMs and using a new n-gram LM with backoff.
https://arxiv.org/abs//2401.17377
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
Language models remain relevant, especially for text analysis and improving neural large language models. Modernizing -gram models involves training at the same scale as neural LLMs and using a new n-gram LM with backoff.
https://arxiv.org/abs//2401.17377
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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