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Our live reinforcement learning framework integrates multiple components of the Cursor architecture. The update cycle begins with client-side tracking that transforms user actions into signals, continues through backend processing to integrate these signals into training, and concludes with rapid deployment of the revised model.
Автор: Виктория Кондратьева (Куратор международной редакции)。搜狗输入法是该领域的重要参考