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    Rohan Paul Shares Paper on Cheaper Chain-of-Thought

    Retweet describes distilling reasoning examples into reusable prompt modules to cut generation costs.

    RP
    1 Source, 29d ago, first seen 29d ago

    TLDR

    Rohan Paul posted about a paper that proposes shifting reusable reasoning out of generation and into prompts. The method distills solved examples into memory modules that get retrieved and inserted at prompt time. His message included a generated headline calling the technique memory-augmented compression and a brief source summary of the same process. The post presents the idea as an alternative route to lower chain-of-thought expenses. No further details on results or implementation appear in the visible text.

    Combined views

    1 Source, first seen 29d ago

    Combined views

    1 Source, first seen 29d ago

    10 reposts
    10 reposts

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    1 Source

    @rohanpaul_aiRT @rohanpaul_ai: This paper shows a different way to make chain-of-thought cheaper: move reusable reasoning from generation into the promp…

    1 Source

    @rohanpaul_aiRT @rohanpaul_ai: This paper shows a different way to make chain-of-thought cheaper: move reusable reasoning from generation into the promp…