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    Engineer Flags Missing Evals in Local LLM Shares

    Senior ML engineer highlights lack of evaluations alongside speed claims in local LLM discussions.

    C🎉
    NR
    2 Sources, 28d ago, first seen 28d ago

    TLDR

    Nate Raw posted that the most annoying thing in the local LLM space is everyone sharing their deployment speeds but mentioning nothing about evals. The post comes from Raw, a Senior ML Engineer at Splice with prior experience at Hugging Face and Lightning AI. It was retweeted by Charles Frye, an engineer at Modal focused on serverless GPU infrastructure and LLM inference optimizations. The statement stands as Raw's direct observation on visible posts in that community.

    Combined views

    2.3K

    2 Sources, first seen 28d ago

    Combined views

    2.3K

    2 Sources, first seen 28d ago

    28 likes
    28 likes
    6 comments
    2 saves
    3 reposts

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    6 comments
    2 saves
    3 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    2 Sources

    @_naterawMost annoying thing in local LLM space is everyone sharing their deployment speeds but mentioning nothing about evals 🥴
    @charles_irlRT @_nateraw: Most annoying thing in local LLM space is everyone sharing their deployment speeds but mentioning nothing about evals 🥴

    2 Sources

    @_naterawMost annoying thing in local LLM space is everyone sharing their deployment speeds but mentioning nothing about evals 🥴
    @charles_irlRT @_nateraw: Most annoying thing in local LLM space is everyone sharing their deployment speeds but mentioning nothing about evals 🥴