互動式訓練 2：即時模型訓練的可稽核控制平面

摘要

實驗追蹤器能顯示訓練進度，但若要修改正在執行的訓練流程，通常仍需依賴訓練器專屬的程式碼。我們提出「交互式訓練 2」（Interactive Training 2），這是一個開放原始碼的控制平面，透過共享協定來引導訓練過程。訓練應用程式宣告其暴露的設定與操作，人類與自動化控制器透過同一介面提交請求，訓練迴圈在安全控制點驗證並應用這些請求。透過客製化的 Aim 工作空間，將即時指標與控制項，以及請求和結果的時序記錄整合在一起。我們在五個自然語言處理與強化學習工作流程中展示了此系統。所釋出的程式碼與軌跡記錄，為可稽核的人工與代理引導訓練提供了可重複使用的基礎。

English

Experiment trackers show how training is progressing, but changing a live run still usually requires trainer-specific code. We present Interactive Training 2, an open-source control plane for steering training through a shared protocol. Training applications declare which settings and actions they expose, humans and automated controllers submit requests through the same interface, and the training loop validates and applies them at safe control points. A customized Aim workspace combines live metrics and controls with a chronological record of requests and outcomes. We demonstrate the system across five NLP and reinforcement-learning workflows. The released code and traces provide a reusable foundation for auditable human- and agent-guided training.