Apple 旨在利用 UI-JEPA 模型來理解設備上的用戶意圖
隨着人工智能技術的不斷進步，用戶界面（UI）的理解成爲了創建直觀且有用的AI應用程序的關鍵挑戰。最近，蘋果公司的研究人員在一篇新論文中介紹了UI-JEPA，這是一種旨在實現輕量級設備端UI理解的架構，它不僅保持了高性能，還顯著降低了UI理解的計算要求。UI理解的挑戰在於需要處理跨模式特徵，包括圖像和自然語言，以捕捉UI序列中的時間關係。儘管多模態大型語言模型（MLLM）如Anthropic Claude3.5Sonnet和OpenAI GPT-4Turbo在個性化規劃方面取得了進展，但這些模型需要大量的計算資源、巨
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