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    Optimization Progress Shared for LFM2.5 Model in Pi Agent

    A retweet highlights reported progress using GEPA optimization on an LFM2.5 model for a coding agent.

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    2 Sources, 25d ago, first seen 25d ago

    TLDR

    Omar Khattab, an assistant professor at MIT CSAIL, retweeted a post from mtasic85. The post states a goal to improve LFM2.5 2.6B model performance inside a Pi coding agent. It reports GEPA Optimization results at 564/1000 and notes the current score of 0.52. The message ends mid-sentence with the word already. The packet contains only this single source line and provides no further details or independent confirmation of outcomes.

    Combined views

    131

    2 Sources, first seen 25d ago

    Combined views

    131

    2 Sources, first seen 25d ago

    8 reposts
    8 reposts

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    Sentiment

    Positive——Negative

    Summary

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    2 Sources

    @lateinteractionRT @mtasic85: Goal: Improve LFM2.5 2.6B model performance in Pi coding agent GEPA Optimization: 564/1000 We are at 0.52 🤓 This is alread…
    @CShorten30RT @mtasic85: Goal: Improve LFM2.5 2.6B model performance in Pi coding agent GEPA Optimization: 564/1000 We are at 0.52 🤓 This is alread…

    2 Sources

    @lateinteractionRT @mtasic85: Goal: Improve LFM2.5 2.6B model performance in Pi coding agent GEPA Optimization: 564/1000 We are at 0.52 🤓 This is alread…
    @CShorten30RT @mtasic85: Goal: Improve LFM2.5 2.6B model performance in Pi coding agent GEPA Optimization: 564/1000 We are at 0.52 🤓 This is alread…