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來訓練自己的 Jev 模型吧：)

This story is from 2026-10-19. It is preserved in the archive; the latest stories are on the live feed.

覺得在應用中頻繁呼叫 Microsoft-Decision-1 或 Jev 等決策模型 API 太昂貴嗎？在現代的 AI Agent 架構中，高達八成的判斷節點需要的其實是「System 1」的直覺反射，而非傳統語言模型耗時的自回歸生成。 接下來的文章將完整記錄如何利用手邊的消費級GPU，在本地環境訓練出與微軟同款 Decision Head 架構的 Qwen3.5 決策模型，紀錄完整的訓練流程、A/B 對照組的延遲數據、機率校準表現，以及實際的應用場景，適合不想被雲端 API 綁架、希望在私有環境建立毫秒級高吞吐決策節點的工程師參考。 微軟 Microsoft-Decision-1 與 J…

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  1. 2026-10-19 14:14 · DEV Community — Machine Learning
    來訓練自己的 Jev 模型吧：)

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