英偉達AI研究人員推出FFN融合技術:加速大型語言模型推理
人工智能芯片巨頭英偉達的研究人員近日發佈了一項名爲“FFN融合”（FFN Fusion）的創新架構優化技術。該技術旨在通過解決Transformer架構中固有的串行計算瓶頸，顯著提升大型語言模型（LLMs）的推理效率，爲更廣泛地部署高性能AI應用鋪平道路.近年來，大型語言模型在自然語言處理、科學研究和對話代理等領域展現出強大的能力。然而，隨着模型規模和複雜性的不斷增加，其推理過程所需的計算資源也大幅增長，導致了效率瓶頸。Transformer架構是LLM的基礎，其交替的注意力機制和前饋網絡
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