shipwithjev

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jevals agent evaluations

jevals turns agent checks into typed questions so the same evaluation definitions can run on saved traces and as runtime guardrails with Jev-style decision models.

Also filed under Research & data

  1. 0546

    Jev-guided sparse attention for MiniMax H3

    流行のJevをMiniMax H3に組み込んで、動画生成を高速化してみた!Attention処理のスパース化にJevを使用。 ・層ごとにJevが重要度を判定(4step 49層が対象) ・Jevがスパース率1%, 3%, 5%, 10%を選択 RTX4070で6分7秒→3分34秒で41.7%短縮!動画生成中にJevクラウドに問合せしているのに速い!

    @sep_is_heim · Research & data

  2. 0538

    Made Jev talk (paper)

    I made Jev talk and wrote a paper on it. To publish it on arXiv, I need an endorser for csCL fom someone who has 3+ arXiv papers in any cs category, submitted between 3 months and 5 years ago. It's one click after I DM you the code and the paper. Or maybe someone you know. A

    @xucian_ · Research & data

  3. 0530

    Jev reads its own comment section

    I asked Jev to predict its own future. My last post (below) got 300k+ impressions, 400+ comments, 101 reposts. I used Jev to categorize every comment and quote to capture public X opinion on Jev’s future. Here’s results: ———— *Note: I created five prediction buckets,

    @JoshKuechly · Research & data

  4. 0522

    Ultra-fast medical simulation

    I built an ultra-fast medical simulation with Jev and Grok 4.7 Grok 4.7 and I co-doctored a cancer patient across 20+ possible futures in just minutes. Grok proposed the moves. Jev ran the high-speed state decisions < 0.3 secs Patientic visualized the branched outcomes. 🧵👇

    @chris_not_busy · Research & data