谷歌發佈Titans:仿生設計突破200萬Token上下文長度
谷歌研究院近日發佈了革新性的"Titans"系列模型架構，通過仿生設計實現了突破性的200萬Token上下文長度，並計劃在未來開源相關技術。這一架構的核心創新在於引入深度神經長期記憶模塊，其設計靈感來源於人類記憶系統。Titans巧妙地結合了短期記憶的快速響應能力和長期記憶的持久性特徵，同時運用注意力機制來處理即時上下文，形成了一個高效的信息處理體系。據谷歌介紹，Titans在長序列處理任務中展現出顯著優勢。無論是在語言建模還是時間序列預測方面，這一架構都實現了突破性
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