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\"DeepSeek\u53c8\u4e00\u6838\u5fc3\u6210\u5458\u79bb\u804c\uff0c\u5165\u804c\u667a\u9a7e\u521b\u4f01\u62c5\u4efb\u9996\u5e2d\u79d1\u5b66\u5bb6\"<\/p>\n

\u667a\u4e1c\u897f<\/strong><\/p>\n

\u7f16\u8bd1 | \u5218\u715c<\/strong><\/p>\n

\u7f16\u8f91 | \u9648\u9a8f\u8fbe<\/strong><\/p>\n

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\"DeepSeek\u53c8\u4e00\u6838\u5fc3\u6210\u5458\u79bb\u804c\uff0c\u5165\u804c\u667a\u9a7e\u521b\u4f01\u62c5\u4efb\u9996\u5e2d\u79d1\u5b66\u5bb6\"<\/p>\n

\u962e\u7fc0\u7684\u5b66\u5386\uff08\u56fe\u6e90\uff1a\u9886\u82f1\uff09<\/p>\n

\u672c\u79d1\u671f\u95f4\uff0c\u962e\u7fc0\u4ee5\u8bbf\u95ee\u5b66\u8005<\/strong>\u8eab\u4efd\u8d74\u7f8e\u56fd<\/a>\u5361\u5185\u57fa\u6885\u9686\u5927\u5b66\uff08CMU\uff09\u4ea4\u6d41\uff0c\u5386\u65f6\u7ea64\u4e2a\u6708\u3002\u5728CMU\u65f6\u4ed6\u5e08\u4eceVictor Adamchik\u6559\u6388\uff0c\u56f4\u7ed5\u683c\u7f57\u6bd4\u7eb3\u57fa\uff08Groebner Basis\uff09<\/strong>\u5f00\u5c55\u7814\u7a76\uff0c\u6210\u529f\u5b9e\u73b0\u7528\u6700\u5c11\u6570\u91cf\u7684\u591a\u9879\u5f0f\u65b9\u7a0b\u5bf9\u6570\u72ec\u89c4\u5219\u8fdb\u884c\u4ee3\u6570\u5efa\u6a21\uff0c\u5176\u76f8\u5173\u6210\u679c\u662f\u8ba1\u7b97\u4ee3\u6570\u76f8\u5173\u9886\u57df\u7684\u539f\u521b\u6027\u7a81\u7834\u3002<\/p>\n

\"DeepSeek\u53c8\u4e00\u6838\u5fc3\u6210\u5458\u79bb\u804c\uff0c\u5165\u804c\u667a\u9a7e\u521b\u4f01\u62c5\u4efb\u9996\u5e2d\u79d1\u5b66\u5bb6\"<\/p>\n

\u962e\u7fc0\u5728CMU\u7684\u8bbf\u5b66\u4ea4\u6d41\u7ecf\u5386\uff08\u56fe\u6e90\uff1a\u9886\u82f1\uff09<\/p>\n

\u636e\u9886\u82f1\u516c\u5f00\u4fe1\u606f\u67e5\u8bc1\uff0c\u4ece2017\u5e743\u6708\u5f00\u59cb\uff0c\u962e\u7fc0\u5728\u505a\u667a\u80fd\u8f93\u5165\u6cd5\u3001AI\u8bed\u8a00\u6280\u672f\u7684\u516c\u53f8Kika Tech\uff08\u89e6\u5b9d\uff09<\/strong>\u5b9e\u4e60\uff0c\u5b9e\u4e60\u5171\u8ba1\u7ea64\u4e2a\u6708\u3002<\/p>\n

\u5728Kika Tech\u5b9e\u4e60\u671f\u95f4\uff0c\u4ed6\u4ee5\u7b2c\u4e00\u4f5c\u8005\u8eab\u4efd\u57282018\u5e74\u8ba1\u7b97\u8bed\u8a00\u5b66\u56fd\u9645\u4f1a\u8bae\uff08CICLING\uff09\u53d1\u8868\u8bba\u6587\u300aSparse Word Representation for RNN Language Models on Cellphones\u300b\uff0c\u5b8c\u6210\u4e86\u53e3\u5934\u62a5\u544a\u3002<\/p>\n

\"DeepSeek\u53c8\u4e00\u6838\u5fc3\u6210\u5458\u79bb\u804c\uff0c\u5165\u804c\u667a\u9a7e\u521b\u4f01\u62c5\u4efb\u9996\u5e2d\u79d1\u5b66\u5bb6\"<\/p>\n

\u962e\u7fc0\u5728Kika\u7684\u5b9e\u4e60\u7ecf\u5386\uff08\u56fe\u6e90\uff1a\u9886\u82f1\uff09<\/p>\n

\u7ed3\u675f\u4e0a\u4e00\u6bb5\u5b9e\u4e60\u4e4b\u540e\uff0c\u962e\u7fc0\u63a5\u7740\u53bb\u5230\u7f51\u6613\u6709\u9053\u4fe1\u606f\u6280\u672f\uff08\u5317\u4eac\uff09\u6709\u9650\u516c\u53f8<\/strong>\u5f00\u59cb\u4e86\u51765\u4e2a\u6708\u7684\u5b9e\u4e60\u3002\u5b9e\u4e60\u671f\u95f4\uff0c\u4ed6\u53c2\u4e0e\u5b9e\u73b0iPhone 6\u53ca\u4ee5\u4e0a\u8bbe\u5907\u7aef0.1\u79d2\/\u53e5\u7684\u79bb\u7ebf\u7ffb\u8bd1\u6027\u80fd<\/strong>\uff0c\u8be5\u6210\u679c\u6700\u7ec8\u96c6\u6210\u81f3\u6709\u9053\u7ffb\u8bd1\u5b98APP\u7684\u79bb\u7ebf\u7ffb\u8bd1\u529f\u80fd<\/strong>\uff0c\u6210\u529f\u5b8c\u6210\u4e86\u4ea7\u54c1\u5316\u843d\u5730\u3002<\/p>\n

\"DeepSeek\u53c8\u4e00\u6838\u5fc3\u6210\u5458\u79bb\u804c\uff0c\u5165\u804c\u667a\u9a7e\u521b\u4f01\u62c5\u4efb\u9996\u5e2d\u79d1\u5b66\u5bb6\"<\/p>\n

\u962e\u7fc0\u5728\u7f51\u6613\u6709\u9053\u516c\u53f8\u7684\u5b9e\u4e60\u7ecf\u5386\uff08\u56fe\u6e90\uff1a\u9886\u82f1\uff09<\/p>\n

\u962e\u7fc0\u4e8e2023\u5e74\u52a0\u5165\u4e86DeepSeek\u62c5\u4efb\u7814\u7a76\u5458<\/strong>\uff0c\u4ed6\u66fe\u53c2\u4e0e\u4e86DeepSeek-VL\/VL2\u4ee5\u53caJanus\u7cfb\u5217\u7b49\u591a\u6a21\u6001\u6a21\u578b<\/strong>\u7684\u7814\u53d1\u3002<\/p>\n

\u636eDBLP\uff08\u8ba1\u7b97\u673a\u79d1\u5b66\u6587\u732e\u6570\u5b57\u56fe\u4e66\u9986\uff09\u8bb0\u5f55\uff0c\u4ed6\u4e0eDeepSeek\u521b\u59cb\u4eba\u6881\u6587\u950b<\/strong>\u5171\u540c\u7f72\u540d\u53d1\u8868\u4e869\u7bc7\u8bba\u6587\u3002\u962e\u7fc0\u53d1\u8868\u7684\u8fd9\u4e9b\u8bba\u6587\u4e3aDeepseek\u5927\u6a21\u578b\u63a8\u7406\u3001\u9ad8\u6548\u6ce8\u610f\u529b\u673a\u5236\u7b49\u6838\u5fc3\u6280\u672f\u7a81\u7834\u4f5c\u51fa\u4e86\u5173\u952e\u8d21\u732e\u3002<\/p>\n

\u962e\u7fc0\u4ee5DeepSeek-VL\u6a21\u578b\u7814\u7a76\u8d1f\u8d23\u4eba<\/strong>\u7684\u8eab\u4efd\u53c2\u4e0e\u4e86\u9898\u4e3a\u300aDeepSeek-VL: Towards Real-World Vision-Language Understanding\u300b\u7684\u8bba\u6587\u7814\u7a76\u3002<\/p>\n

\u8be5\u7814\u7a76\u805a\u7126\u771f\u5b9e\u573a\u666f\u4e0b\u7684\u89c6\u89c9\u4e0e\u8bed\u8a00\u7406\u89e3\u96be\u9898\uff0c\u9488\u5bf9\u6587\u6863\u3001\u56fe\u8868\u3001OCR\u4ee5\u53ca\u7f51\u9875\u622a\u56fe\u7b49\u590d\u6742\u5b9e\u9645\u573a\u666f\uff0c\u5b9e\u73b0\u4e86DeepSeek-VL<\/strong>\u7ec6\u7c92\u5ea6\u56fe\u6587\u7406\u89e3\u80fd\u529b\uff0c\u540c\u65f6\u901a\u8fc7\u4f18\u5316\u8bad\u7ec3\u7b56\u7565<\/a>\uff0c\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u907f\u514d\u4e86\u591a\u6a21\u6001\u6a21\u578b\u5e38\u89c1\u7684\u8bed\u8a00\u80fd\u529b\u9000\u5316\u95ee\u9898<\/strong>\u3002<\/p>\n

\u56fe\u4e3a\u962e\u7fc0\u53d1\u8868\u7684\u8bba\u6587\u548c\u4f5c\u8005\u540d\u5355\uff08\u56fe\u6e90\uff1aDBLP\uff09<\/p>\n

\u4e4b\u540e\uff0c\u962e\u7fc0\u4ea6\u4ee5\u8d1f\u8d23\u4eba<\/strong>\u7684\u8eab\u4efd\u53c2\u4e0e\u4e86\u300aDeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding\u300b\u4e00\u6587\u7684\u7814\u7a76\u5de5\u4f5c\u3002<\/p>\n

\u8be5\u7814\u7a76\u9762\u5411\u9ad8\u9636\u591a\u6a21\u6001\u7406\u89e3\u4efb\u52a1\uff0c\u63d0\u51fa\u4e86\u6df7\u5408\u4e13\u5bb6\uff08MoE\uff09\u67b6\u6784\u7684\u89c6\u89c9\u8bed\u8a00\u6a21\u578bDeepSeek-VL2<\/strong>\uff0c\u901a\u8fc7\u52a8\u6001\u5206\u5757\u89c6\u89c9\u7f16\u7801\u4e0e\u9ad8\u6548MoE\u8bed\u8a00\u4e3b\u5e72\u8bbe\u8ba1\uff0c\u5728DeepSeek-VL\u57fa\u7840\u4e0a\u8fdb\u4e00\u6b65\u63d0\u5347DeepSeek-VL2\u5728\u771f\u5b9e\u573a\u666f\u4e0b\u7684\u7406\u89e3\u80fd\u529b\u4e0e\u63a8\u7406\u6548\u7387\uff0c\u5728\u4e3b\u6d41\u591a\u6a21\u6001\u57fa\u51c6\u4e0a\u53d6\u5f97\u4e86\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u7684\u9886\u5148\u6027\u80fd\u3002<\/p>\n

\"DeepSeek\u53c8\u4e00\u6838\u5fc3\u6210\u5458\u79bb\u804c\uff0c\u5165\u804c\u667a\u9a7e\u521b\u4f01\u62c5\u4efb\u9996\u5e2d\u79d1\u5b66\u5bb6\"<\/p>\n

\u56fe\u4e3a\u962e\u7fc0\u53d1\u8868\u7684\u8bba\u6587\u548c\u4f5c\u8005\u540d\u5355\uff08\u56fe\u6e90\uff1aDBLP\uff09<\/p>\n

\u540c\u65f6\uff0c\u962e\u7fc0\u8fd8\u4f5c\u4e3a\u4f5c\u8005\u4e4b\u4e00\uff0c\u53d1\u8868\u4e86\u9898\u4e3a\u300aJanus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation\u300b\u7684Janus<\/strong>\u6a21\u578b\u76f8\u5173\u8bba\u6587\u3002<\/p>\n

\u8be5\u7814\u7a76\u63d0\u51fa\u4e86\u4e00\u5957\u89e3\u8026\u89c6\u89c9\u7f16\u7801\u7684\u7edf\u4e00\u591a\u6a21\u6001\u6846\u67b6Janus<\/strong>\uff0c\u901a\u8fc7\u5206\u522b\u6784\u5efa\u9762\u5411\u7406\u89e3\u4e0e\u9762\u5411\u751f\u6210\u7684\u72ec\u7acb\u89c6\u89c9\u7f16\u7801\u901a\u8def\uff0c\u5728\u540c\u4e00\u81ea\u56de\u5f52\u67b6\u6784\u4e0b\u540c\u65f6\u5b9e\u73b0\u4e86\u5f3a\u5927\u7684\u591a\u6a21\u6001\u7406\u89e3\u4e0e\u9ad8\u8d28\u91cf\u56fe\u50cf\u751f\u6210\u80fd\u529b\uff0c\u6709\u6548\u89e3\u51b3\u4e86\u5355\u4e00\u7f16\u7801\u5668\u96be\u4ee5\u517c\u987e\u4e24\u7c7b\u4efb\u52a1\u7684\u6280\u672f\u74f6\u9888\u3002<\/p>\n

\"DeepSeek\u53c8\u4e00\u6838\u5fc3\u6210\u5458\u79bb\u804c\uff0c\u5165\u804c\u667a\u9a7e\u521b\u4f01\u62c5\u4efb\u9996\u5e2d\u79d1\u5b66\u5bb6\"<\/p>\n

\u56fe\u4e3a\u962e\u7fc0\u53d1\u8868\u7684\u8bba\u6587\u548c\u4f5c\u8005\u540d\u5355\uff08\u56fe\u6e90\uff1aDBLP\uff09<\/p>\n

\u5728\u962e\u7fc0\u53d1\u8868\u7684\u591a\u7bc7\u8bba\u6587\u4e2d\uff0c\u4ed6\u53c2\u4e0e\u64b0\u5199\u7684\u4e00\u7bc7\u9898\u4e3a\u300aNative Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention\u300b\u7684\u8bba\u6587\uff0c\u83b7\u5f97\u4e862025\u5e74NLP\u4e0e\u8ba1\u7b97\u8bed\u8a00\u5b66\u9886\u57df\u7684\u9876\u7ea7\u5b66\u672f\u4f1a\u8baeACL\u7684\u6700\u4f73\u8bba\u6587\u5956<\/strong>\u3002<\/p>\n

\"DeepSeek\u53c8\u4e00\u6838\u5fc3\u6210\u5458\u79bb\u804c\uff0c\u5165\u804c\u667a\u9a7e\u521b\u4f01\u62c5\u4efb\u9996\u5e2d\u79d1\u5b66\u5bb6\"<\/p>\n

\u56fe\u4e3a\u962e\u7fc0\u53d1\u8868\u7684\u8bba\u6587\u548c\u4f5c\u8005\u540d\u5355\uff08\u56fe\u6e90\uff1aDBLP\uff09<\/p>\n

\u800c\u540e\uff0c\u4ed6\u53c2\u4e0e\u64b0\u5199\u7684\u53e6\u4e00\u7bc7\u8bba\u6587\u300aDeepSeek-R1: Incentivizing Reasoning in LLMs through Reinforcement Learning\u300b\uff0c\u4e8e\u540c\u5e749\u6708\u520a\u767b\u4e8e\u56fd\u9645\u6743\u5a01\u671f\u520a\u300a\u81ea\u7136\u300b\uff08Nature\uff09\uff0c\u5e76\u767b\u4e0a\u5f53\u671f\u5c01\u9762<\/strong>\u3002<\/p>\n<\/p>\n

\u56fe\u4e3a\u962e\u7fc0\u53d1\u8868\u7684\u8bba\u6587\u548c\u4f5c\u8005\u540d\u5355\uff08\u56fe\u6e90\uff1aDBLP\uff09<\/p>\n

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