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@pangweikoh
Assistant professor at @uwcse | MTS @MicrosoftAI. Formerly @allen_ai @StanfordAILab @GoogleAI @Coursera. 🇸🇬
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The author says their team has been testing whether n-gram counts in read-only CPU RAM help language models.
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A researcher says it better targets specific protein forms and functions and works especially well for agent-driven design.
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A post introducing the method says it uses instruction following and external random-number generation, not token entropy.
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A conference attendee says she’s co-organizing the LM4Sci workshop and co-moderating a panel at COLM.
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The author says the method uses instruction following and external random-number generation, rather than token entropy, to vary responses.
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A post about the project claims a 65% score gain with the same compute on a 24-hour multi-repository agent-swarm task.
