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    Engineers Open-Source Speculative Decoding Tutorial and Harness

    Madison Kanna and collaborator release NeurIPS Education Track tutorial materials and benchmark harness.

    MK
    1 Source, 24d ago, first seen 24d ago

    TLDR

    Madison Kanna, an engineer at Baseten, posted that she and @lily_gpupoor built an interactive tutorial on speculative decoding for the NeurIPS Education Track. They open-sourced the tutorial, the site, and the LosslessBench harness. Kanna stated that speculative decoding is one of the most important optimization techniques in LLM inference. The post presents the release as their own work on the education track submission.

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    1 Source, first seen 24d ago

    Combined views

    25.6K

    1 Source, first seen 24d ago

    217 likes
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    18 comments
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    16 reposts

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    18 comments
    147 saves
    16 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @MadisonkannaExcited to share this. Speculative decoding is one of the most important optimization techniques in LLM inference. @lily_gpupoor and I built an interactive tutorial for the NeurIPS Education Track and we just open-sourced the tutorial, site, and LosslessBench harness:

    1 Source

    @MadisonkannaExcited to share this. Speculative decoding is one of the most important optimization techniques in LLM inference. @lily_gpupoor and I built an interactive tutorial for the NeurIPS Education Track and we just open-sourced the tutorial, site, and LosslessBench harness: