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    N-gram count approach reportedly matches 57% more compute at 1B scale

    The author says their team has been testing whether n-gram counts in read-only CPU RAM help language models.

    Pang Wei KohPW
    Ian MagnussonIM
    3 Sources, 4h ago, first seen 4h ago

    TLDR

    The team claims its COUNT approach scales to 1B and matches 57% more compute. The author says the work tests whether n-gram counts in read-only CPU RAM help language models, and notes that others broke nanoGPT speedrun records at small scale with a similar trick.

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    3 Sources, first seen 4h ago

    42 likes4 comments24 saves9 reposts

    Combined views

    1.8K

    3 Sources, first seen 4h ago

    42 likes4 comments24 saves9 reposts
    Image: @IanMagnusson on X

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    3 Sources

    Ian Magnusson@IanMagnussonOne n-gram! Two n-grams! 797 gigabytes of n-grams! Ah ah ah! 🧛⚡ We’ve been testing if n-gram counts in read-only CPU RAM help LMs. At small scale, others just broke nanoGPT speedrun records with a similar trick. With the COUNT we scale to 1B and match 57% more compute.4h
    Pang Wei Koh@PangWeiKohRT @IanMagnusson: One n-gram! Two n-grams! 797 gigabytes of n-grams! Ah ah ah! 🧛⚡ We’ve been testing if n-gram counts in read-only CPU RAM…2h
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    3 Sources

    Ian Magnusson@IanMagnussonOne n-gram! Two n-grams! 797 gigabytes of n-grams! Ah ah ah! 🧛⚡ We’ve been testing if n-gram counts in read-only CPU RAM help LMs. At small scale, others just broke nanoGPT speedrun records with a similar trick. With the COUNT we scale to 1B and match 57% more compute.4h
    Pang Wei Koh@PangWeiKohRT @IanMagnusson: One n-gram! Two n-grams! 797 gigabytes of n-grams! Ah ah ah! 🧛⚡ We’ve been testing if n-gram counts in read-only CPU RAM…2h
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