阿里零搜尋技術 AI訓練成本急降88%




阿里巴巴新方法降低AI搜索訓練成本88%

中國科技巨頭阿里巴巴集團宣佈,在降低人工智能(AI)搜索模型訓練成本方面取得了突破,成本大幅降低近九成。隨著各公司爭相提升AI能力,同時降低開發費用,這一創新成果備受關注。

阿里巴巴的研究人員推出了一種名為ZeroSearch的新方法,通過模擬方式提升AI模型的搜索能力,無需與實際搜索引擎互動。根據上周發表的研究論文,ZeroSearch方法可以消除通過商業搜索引擎路由查詢所帶來的高昂成本。它允許已經在廣泛知識基礎上訓練的AI模型,生成高質量的內容來回應查詢。

通過將參考模型轉變為搜索引擎,ZeroSearch可以用於訓練其他AI系統回答查詢,從而減少對昂貴外部搜索基礎設施的依賴,使AI搜索訓練更加普及,尤其對於資源有限的小型團隊。

阿里巴巴研究人員推出了一種更經濟的方法來改善AI模型的搜索能力。

例如,通過應用程序接口向谷歌發送64,000次查詢,費用約為586.70美元,而使用一個140億參數的AI模型生成訓練回應,費用僅為70.80美元,成本降低了88%。

作為編輯,我認為阿里巴巴的ZeroSearch方法是一個創新性的突破,它不僅降低了AI搜索訓練的成本,還提高了訓練的效率。這對於資源有限的小型團隊來說是一個福音,他們可以更輕鬆地開發和訓練自己的AI模型。此外,這一方法也為AI搜索訓練開啟了新的可能性,未來我們可以期待看到更多基於ZeroSearch的創新應用。

然而,ZeroSearch方法是否能夠廣泛應用,還需要進一步的測試和驗證。同時,隨著AI技術的不斷發展,我們也需要關注相關的倫理和監管問題,以確保AI技術的發展能夠為社會帶來更多的益處。

總的來說,阿里巴巴的ZeroSearch方法是一個值得關注的創新成果,它為AI搜索訓練開啟了新的可能性,未來值得期待。

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