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\u7f16\u8f91\u4e28\u4fe1\u9675<\/p>\n
\u9898\u56fe\u4e28Moonshot AI<\/p>\n
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\u8fd9\u4e24\u7bc7\u8bba\u6587\u5728\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u5f71\u54cd\u6df1\u8fdc\uff0c\u5728Google Scholar\u7684\u5f15\u7528\u6b21\u6570\u4e4b\u548c\u8fbe\u5230\u4e86\u60ca\u4eba\u7684\u4e0a\u4e07\u6b21\u3002<\/p>\n
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10\u67089\u65e5\uff0c\u8fd9\u5bb6\u6210\u7acb\u4ec5\u534a\u5e74\u7684\u5927\u6a21\u578b\u521d\u521b\u516c\u53f8 \u2014\u2014 Moonshot AI\u5ba3\u5e03\u5728\u201c\u957f\u6587\u672c\u201d\u9886\u57df\u5b9e\u73b0\u4e86\u7a81\u7834\uff0c\u63a8\u51fa\u4e86\u9996\u4e2a\u652f\u6301\u8f93\u516520\u4e07\u6c49\u5b57\u7684\u667a\u80fd\u52a9\u624b\u4ea7\u54c1Kimi Chat<\/strong>\u3002\u5e76\u79f0\uff0c\u8fd9\u662f\u76ee\u524d\u5168\u7403\u5e02\u573a\u4e0a\u80fd\u591f\u4ea7\u54c1\u5316\u4f7f\u7528\u7684\u5927\u6a21\u578b\u670d\u52a1\u4e2d\u6240\u80fd\u652f\u6301\u7684\u6700\u957f\u4e0a\u4e0b\u6587\u8f93\u5165\u957f\u5ea6\u3002<\/p>\n \u76f8\u6bd4\u5f53\u524d\u5e02\u9762\u4e0a\u4ee5\u82f1\u6587\u4e3a\u57fa\u7840\u8bad\u7ec3\u7684\u5927\u6a21\u578b\u670d\u52a1\uff0cKimi Chat\u6700\u5927\u7684\u7279\u8272\u5c31\u662f\u5177\u5907\u8f83\u5f3a\u7684\u591a\u8bed\u8a00\u80fd\u529b\u3002<\/p>\n \u4f8b\u5982\uff0cKimi 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\u2022\u201c\u874c\u86aa\u201d\u6a21\u578b\uff0c\u901a\u8fc7\u51cf\u5c11\u53c2\u6570\u91cf\uff08\u4f8b\u5982\u51cf\u5c11\u5230\u767e\u4ebf\u53c2\u6570\uff09\u6765\u63d0\u5347\u4e0a\u4e0b\u6587\u957f\u5ea6\uff0c\u867d\u7136\u80fd\u652f\u6301\u66f4\u957f\u4e0a\u4e0b\u6587\uff0c\u4f46\u662f\u5927\u91cf\u4efb\u52a1\u65e0\u6cd5\u80dc\u4efb\u3002<\/p>\n \u201c\u7b80\u5355\u7684\u6377\u5f84\u65e0\u6cd5\u8fbe\u5230\u7406\u60f3\u7684\u4ea7\u54c1\u5316\u6548\u679c\u3002\u4e3a\u4e86\u771f\u6b63\u505a\u51fa\u53ef\u7528\u3001\u597d\u7528\u7684\u4ea7\u54c1\uff0c\u5c31\u4e0d\u80fd\u8d70\u865a\u5047\u7684\u6377\u5f84\uff0c\u800c\u5e94\u76f4\u9762\u6311\u6218\u3002\u201d\u6768\u690d\u9e9f\u8bf4\u5230\u3002<\/p>\n \u8bad\u7ec3\u5c42\u9762\uff0c\u60f3\u8bad\u7ec3\u5f97\u5230\u4e00\u4e2a\u652f\u6301\u8db3\u591f\u957f\u4e0a\u4e0b\u6587\u80fd\u529b\u7684\u6a21\u578b\uff0c\u4e0d\u53ef\u907f\u514d\u5730\u8981\u9762\u5bf9\u5982\u4e0b\u56f0\u96be\uff1a<\/p>\n 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\u63a8\u7406\u5c42\u9762\uff0c\u5728\u83b7\u5f97\u4e86\u652f\u6301\u8d85\u957f\u4e0a\u4e0b\u6587\u7684\u6a21\u578b\u540e\uff0c\u5982\u4f55\u8ba9\u6a21\u578b\u80fd\u670d\u52a1\u4f17\u591a\u7528\u6237\uff0c\u540c\u6837\u8981\u9762\u4e34\u8270\u5de8\u6311\u6218\uff1a<\/p>\n \u2022Transformer\u6a21\u578b\u4e2d\u81ea\u6ce8\u610f\u529b\u673a\u5236\uff08Self Attention\uff09\u7684\u8ba1\u7b97\u91cf\u4f1a\u968f\u7740\u4e0a\u4e0b\u6587\u957f\u5ea6\u7684\u589e\u52a0\u5448\u5e73\u65b9\u7ea7\u589e\u957f\uff0c\u7528\u6237\u9700\u8981\u7b49\u5f85\u6781\u5176\u957f\u7684\u65f6\u95f4\u624d\u80fd\u83b7\u5f97\u53cd\u9988\u3002<\/p>\n \u2022\u8d85\u957f\u4e0a\u4e0b\u6587\u5bfc\u81f4\u663e\u5b58\u9700\u6c42\u8fdb\u4e00\u6b65\u589e\u957f\uff1a\u4ee5 1750 \u4ebf\u53c2\u6570\u7684 GPT-3\u4e3a\u4f8b\uff0c\u76ee\u524d\u6700\u9ad8\u5355\u673a\u914d\u7f6e( 80 GiB * 8 )\u6700\u591a\u53ea\u80fd\u652f\u6301 64k 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