EP36 | 深談Deepseek (上)：開源之王、卓越技術創新、混合專家模型MoE、Multi-Token Prediction (MTP)、多頭潛在注意力機制MLA

from 數創實驗室 - AI時代的學習指南 · host Vincent在數創

#### 本期簡介本集深入探討Deepseek對AI行業的巨大衝擊：其在算法與工程上的多重創新，成功大幅壓低訓練與推理成本，並以完全開源姿態顛覆既有格局。將分兩至三集詳解Deepseek V3與R1的MoE、MTP、MLA技術，剖析開源與閉源之爭如何影響未來AI生態，以及此舉對算力需求與投資市場的衝擊。 #### 關於主持人 Vincent Chen (www.linkedin.com/in/hsiang-hao-chen-53443593) 數創智能 / 數創實驗室創始人, Podcast播客主理人美國財星500強電商大廠 | 數據團隊主管台灣零售行業上市公司 | 資料技術處處長 AI & 大數據跨國經驗10年+ | 跨國反欺詐 | 智能行銷 & 推薦系統英國全球百大 Data Science & 台灣交大MBA雙碩士 #### 意見回饋歡迎回饋您希望收聽的AI主題 : https://bit.ly/40Q8PT6 #### 相關連結 LINE社群入群連結 : https://bit.ly/3TU9K0I 數創實驗室官網 : https://datainnolab.ai 聯繫數創實驗室 : [email protected]

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EP36 | 深談Deepseek (上)：開源之王、卓越技術創新、混合專家模型MoE、Multi-Token Prediction (MTP)、多頭潛在注意力機制MLA

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