{"id":37730,"date":"2025-02-03T12:01:01","date_gmt":"2025-02-03T04:01:01","guid":{"rendered":"https:\/\/17aitech.com\/?p=37730"},"modified":"2025-02-03T12:01:01","modified_gmt":"2025-02-03T04:01:01","slug":"%e6%b5%b7%e5%86%85%e5%a4%9615%e4%bd%8d%e5%8d%9a%e5%a3%ab%ef%bc%8c%e6%af%8f%e4%ba%ba10%e4%b8%87%ef%bc%8c%e5%ad%97%e8%8a%82%e8%b7%b3%e5%8a%a8%e7%9a%84%e5%a5%96%e5%ad%a6%e9%87%91%e8%b6%8a%e6%9d%a5","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=37730","title":{"rendered":"\u6d77\u5185\u591615\u4f4d\u535a\u58eb\uff0c\u6bcf\u4eba10\u4e07\uff0c\u5b57\u8282\u8df3\u52a8\u7684\u5956\u5b66\u91d1\u8d8a\u6765\u8d8a\u300c\u9999\u300d\u4e86"},"content":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2025-01-14-7\" target=\"_blank\">\u6d77\u5185\u591615\u4f4d\u535a\u58eb\uff0c\u6bcf\u4eba10\u4e07\uff0c\u5b57\u8282\u8df3\u52a8\u7684\u5956\u5b66\u91d1\u8d8a\u6765\u8d8a\u300c\u9999\u300d\u4e86<\/a><\/p>\n<p>\u65b0\u4e00\u6ce2 AI \u6280\u672f\u6d6a\u6f6e\u6765\u88ad\u7684\u65f6\u4ee3\uff0c\u4ec0\u4e48\u6837\u7684\u4eba\u624d\u6700\u62a2\u624b\uff1f<\/p>\n<p>\u6700\u65b0\u516c\u5e03\u7684\u4e00\u4efd\u300c\u5956\u5b66\u91d1\u540d\u5355\u300d\uff0c\u6216\u8bb8\u80fd\u544a\u8bc9\u6211\u4eec\u7b54\u6848\u3002<\/p>\n<p>\u521a\u521a\uff0c15 \u4f4d\u5e74\u8f7b\u7684\u535a\u58eb\u751f\uff0c\u559c\u63d0 2024 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\u00a0<\/p>\n<p><strong>\u5218\u514b\u975e<\/strong><\/p>\n<ul>\n<li>\n<section>\u9662\u6821\uff1a\u5317\u4eac\u90ae\u7535\u5927\u5b66<\/section>\n<\/li>\n<li>\n<section>\u7814\u7a76\u9886\u57df\uff1aRDMA\uff0c\u7f51\u7edc\u6d4b\u91cf\u4e0e\u6545\u969c\u5b9a\u4f4d<\/section>\n<\/li>\n<li>\n<section>\u5bfc\u5e08\uff1a\u5f20\u5a07<\/section>\n<\/li>\n<\/ul>\n<p>\u5218\u514b\u975e\u7684\u4e3b\u8981\u7814\u7a76\u9886\u57df\u662f RDMA\u3001\u7f51\u7edc\u6d4b\u91cf\u4e0e\u6545\u969c\u5b9a\u4f4d\u3002\u5728\u5b57\u8282\u8df3\u52a8\u9ad8\u901f\u7f51\u7edc\u56e2\u961f\u5b9e\u4e60\u65f6\uff0c\u4ed6\u8bbe\u8ba1\u7814\u53d1\u5e76\u5728\u5b57\u8282\u8df3\u52a8\u6570\u636e\u4e2d\u5fc3\u5185\u63a8\u52a8\u90e8\u7f72\u4e86\u4e3b\u673a\u5185\u7f51\u7edc\u74f6\u9888\u5b9a\u4f4d\u5de5\u5177 Hostping \u548c RDMA \u7f51\u7edc\u76d1\u63a7\u4e0e\u6545\u969c\u5b9a\u4f4d\u7cfb\u7edf R-Pingmesh\uff0c\u9ad8\u6548\u4fdd\u969c\u4e86\u5b57\u8282\u8df3\u52a8\u8bad\u7ec3\u4e1a\u52a1\u7684\u7a33\u5b9a\u3001\u9ad8\u6548\u8fd0\u884c\u3002\u76f8\u5173\u6210\u679c\u5df2\u53d1\u8868\u4e8e SIGCOMM 2024 (CCF-A) \u3001 NSDI 2023 (CCF-A)\u3001\u3001 IEEE\/ACM Transactions on Networking (CCF-A) \u7b49\u9876\u4f1a\u9876\u520a\u3002<\/p>\n<p><strong>\u5218\u6bc5<\/strong><\/p>\n<ul>\n<li>\n<section>\u9662\u6821\uff1a\u9999\u6e2f\u57ce\u5e02\u5927\u5b66<\/section>\n<\/li>\n<li>\n<section>\u7814\u7a76\u9886\u57df\uff1a\u4eba\u5de5\u667a\u80fd\u7269\u8054\u7f51\u5b89\u5168\u4e0e\u9690\u79c1<\/section>\n<\/li>\n<li>\n<section>\u5bfc\u5e08\uff1a\u738b\u806a<\/section>\n<\/li>\n<\/ul>\n<p>\u5218\u6bc5\u7684\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u662f\u4eba\u5de5\u667a\u80fd\u7269\u8054\u7f51\u7684\u5b89\u5168\u3001\u9690\u79c1\u4e0e\u53ef\u4fe1\u6cbb\u7406\uff0c\u5e76\u5728\u76f8\u5173\u9886\u57df\u53d6\u5f97\u4e86\u521b\u65b0\u6027\u548c\u5f15\u9886\u6027\u7684\u4f18\u79c0\u6210\u679c\u53ca\u843d\u5730\u5b9e\u8df5\u3002\u4ed6\u66fe\u5165\u9009 2024\u30012023 \u5e74\u5168\u7403\u524d 2% \u9876\u5c16\u79d1\u5b66\u5bb6\uff0c\u5e76\u4f5c\u4e3a\u7b2c\u4e00\u4f5c\u8005\uff0c\u53d1\u8868 4 \u7bc7 CCF-A \u4f1a\u8bae \/ \u671f\u520a\u8bba\u6587\u548c 7 \u7bc7 JCR \u4e00\u533a\u671f\u520a\u8bba\u6587\uff08\u542b 6 \u7bc7 ESI \u9ad8\u88ab\u5f15\u8bba\u6587\uff09\uff0c\u6388\u6743\u56fd\u5bb6\u53d1\u660e\u4e13\u5229 3 \u9879\uff0cGoogle Scholar \u7edf\u8ba1\u603b\u5f15\u7528\u8d85 3258 \u6b21\u3002<\/p>\n<p><strong>\u5b8b\u5b87\u8f69<\/strong><\/p>\n<ul>\n<li>\n<section>\u9662\u6821\uff1a\u6e05\u534e\u5927\u5b66<\/section>\n<\/li>\n<li>\n<section>\u7814\u7a76\u9886\u57df\uff1a\u6df1\u5ea6\u751f\u6210\u6a21\u578b\u53ca\u5176\u5728\u79d1\u5b66\u53d1\u73b0\u4e2d\u7684\u5e94\u7528<\/section>\n<\/li>\n<li>\n<section>\u5bfc\u5e08\uff1a\u9a6c\u7ef4\u82f1\u3001\u5468\u6d69<\/section>\n<\/li>\n<\/ul>\n<p>\u5b8b\u5b87\u8f69\u6b64\u524d\u66fe\u5728\u5b57\u8282\u8df3\u52a8\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4\u5168\u804c\u62c5\u4efb\u7814\u7a76\u5de5\u7a0b\u5e08\uff0c\u4ed6\u5f53\u524d\u7684\u7814\u7a76\u96c6\u4e2d\u5728\u6df1\u5ea6\u751f\u6210\u6a21\u578b\u548c\u79d1\u5b66\u4eba\u5de5\u667a\u80fd\uff08AI4Science\uff09\u9886\u57df\uff0c\u7279\u522b\u5173\u6ce8\u5f00\u53d1\u6709\u6548\u4e14\u53ef\u6269\u5c55\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u4ee5\u89e3\u51b3\u5206\u5b50\u751f\u6210\u3001\u6750\u6599\u8bbe\u8ba1\u548c\u86cb\u767d\u5bb6\u65cf\u8bbe\u8ba1\u7b49\u96be\u9898\u3002\u76ee\u524d\uff0c\u4ed6\u5df2\u5728 NeurIPS\uff0cICML\uff0cICLR\uff0cAISTATS \u7b49\u673a\u5668\u5b66\u4e60\u4f1a\u8bae\u53d1\u8868\u591a\u7bc7\u8bba\u6587\uff0c\u5176\u4e2d\uff0cGeoBFN \u83b7\u8bc4 ICLR2024 Oral\u3002\u4ed6\u8fd8\u66fe\u53c2\u4e0e\u86cb\u767d\u8d28\u6298\u53e0\u7684 CAMEO \u7ade\u8d5b\uff0c\u5e76\u8fde\u7eed\u516d\u4e2a\u6708\u83b7\u5f97\u7b2c\u4e00\u540d\u3002\u6b64\u5916\uff0c\u4ed6\u8fd8\u66fe\u83b7\u8bc4\u6e05\u534e\u5927\u5b66\u667a\u80fd\u4ea7\u4e1a\u7814\u7a76\u9662\u9662\u957f\u5956\u3002 \u00a0<\/p>\n<p><strong>\u5b59\u632f\u4fd7<\/strong><\/p>\n<ul>\n<li>\n<section>\u9662\u6821\uff1a\u65b0\u52a0\u5761\u7ba1\u7406\u5927\u5b66<\/section>\n<\/li>\n<li>\n<section>\u7814\u7a76\u9886\u57df\uff1a\u667a\u80fd\u8f6f\u4ef6\u5de5\u7a0b<\/section>\n<\/li>\n<li>\n<section>\u5bfc\u5e08\uff1aDavid Lo<\/section>\n<\/li>\n<\/ul>\n<p>\u5b59\u632f\u4fd7\u7684\u4e3b\u8981\u7814\u7a76\u9886\u57df\u662f\u667a\u80fd\u8f6f\u4ef6\u5de5\u7a0b\u3002\u4ed6\u63d0\u51fa\u7684 \u201c\u9762\u5411 AI \u7684\u7f16\u7a0b\u8bed\u8a00\u8bed\u6cd5\u201d \u63d0\u5347\u4e86\u6a21\u578b\u63a8\u7406\u6548\u7387\uff0c\u8be5\u6210\u679c\u53d1\u8868\u4e8e ISSTA 2024 \u5e76\u8363\u83b7 ACM SIGSOFT \u6770\u51fa\u8bba\u6587\u5956\u3002\u4ed6\u8fd8\u9996\u6b21\u63d0\u51fa\u4e86\u57fa\u4e8e\u5927\u6a21\u578b\u7684\u4ee3\u7801\u8865\u5168\u5b58\u5728\u65e0\u6548\u4ee3\u7801\u8865\u5168\u7684\u95ee\u9898\uff0c\u5e76\u76f8\u5e94\u8bbe\u8ba1\u4e86\u9884\u9632\u53ca\u52a8\u6001\u63a8\u7406\u673a\u5236\uff0c\u76f8\u5173\u6210\u679c\u5206\u522b\u53d1\u8868\u4e8e TOSEM \u548c ICSE 2024\u3002\u4ed6\u9488\u5bf9 \u201c\u5982\u4f55\u9632\u8303\u4e0e\u5229\u7528\u4ee3\u7801\u5927\u6a21\u578b\u8bad\u7ec3\u6570\u636e\u96c6\u4e2d\u7684\u810f\u6570\u636e\u201d \u7684\u7814\u7a76\u6210\u679c\uff0c\u4e5f\u53d1\u8868\u4e8e ICSE\u3001WWW\u3001 FSE \u548c ISSTA \u7b49\u9876\u7ea7\u4f1a\u8bae\uff0c\u5e76\u83b7\u5f97 ICSE 2022 \u6770\u51fa\u8bba\u6587\u63d0\u540d\u3002<\/p>\n<p><strong>\u738b\u68a6\u53ec<\/strong><\/p>\n<ul>\n<li>\n<section>\u9662\u6821\uff1a\u6d59\u6c5f\u5927\u5b66<\/section>\n<\/li>\n<li>\n<section>\u7814\u7a76\u9886\u57df\uff1a\u6570\u636e\u5e93\u3001\u5927\u6570\u636e\u3001\u4fe1\u606f\u68c0\u7d22<\/section>\n<\/li>\n<li>\n<section>\u5bfc\u5e08\uff1a\u9ad8\u4e91\u541b<\/section>\n<\/li>\n<\/ul>\n<p>\u738b\u68a6\u53ec\u4e3b\u8981\u7814\u7a76\u9ad8\u7ef4\u5411\u91cf\u6570\u636e\u5b58\u50a8\u4e0e\u68c0\u7d22\u3001\u9762\u5411 RAG \u7684\u641c\u7d22\u7cfb\u7edf\uff0c\u81f4\u529b\u4e8e\u6253\u9020\u9762\u5411 AI \u5e94\u7528\u7684\u65b0\u578b\u6570\u636e\u57fa\u7840\u8bbe\u65bd\u3002\u4ed6\u5728\u8fd1\u90bb\u56fe\u5411\u91cf\u68c0\u7d22\u7ec6\u5206\u9886\u57df\u53d6\u5f97\u4e86\u591a\u9879\u7406\u8bba\u6216\u6280\u672f\u7a81\u7834\uff0c\u5e76\u9488\u5bf9\u4ebf\u7ea7\u4ee5\u4e0a\u5411\u91cf\u6570\u636e\u89c4\u6a21\u573a\u666f\u63d0\u51fa\u7684\u78c1\u76d8\u5bfc\u822a\u56fe\u7d22\u5f15\u4f18\u5316\u6846\u67b6\uff0c\u5c06\u67e5\u8be2\u5ef6\u8fdf\u964d\u4f4e\u8d85 90%\uff0c\u5c06\u67e5\u8be2\u541e\u5410\u91cf\u63d0\u5347 1 \u4e2a\u6570\u91cf\u7ea7\u3002\u8fd1\u51e0\u5e74\uff0c\u4ed6\u66fe\u4e3b\u6301\u7701\u6821\u7ea7\u9879\u76ee 3 \u9879\uff0c\u4e3b\u8981\u53c2\u4e0e 10 \u4f59\u9879\u56fd\u5bb6\u7ea7\u548c\u7701\u90e8\u7ea7\u79d1\u7814\u9879\u76ee\u3002\u4ed6\u8fd8\u4f5c\u4e3a\u7b2c\u4e00\u6216\u901a\u8baf\u4f5c\u8005\uff0c\u5728 SIGMOD\u3001VLDB\u3001ICDE\u3001NeurIPS \u7b49\u9876\u4f1a\u548c\u671f\u520a\u4e0a\u53d1\u8868\u8bba\u6587 6 \u7bc7\uff0c\u6388\u6743\u53d1\u660e\u4e13\u5229 3 \u4ef6\u3002<\/p>\n<p><strong>\u6c76\u5ddd<\/strong><\/p>\n<ul>\n<li>\n<section>\u9662\u6821\uff1a\u6e05\u534e\u5927\u5b66<\/section>\n<\/li>\n<li>\n<section>\u7814\u7a76\u9886\u57df\uff1a\u5177\u8eab\u667a\u80fd\uff0c\u673a\u5668\u4eba<\/section>\n<\/li>\n<li>\n<section>\u5bfc\u5e08\uff1a\u9ad8\u9633<\/section>\n<\/li>\n<\/ul>\n<p>\u6c76\u5ddd\u7814\u7a76\u65b9\u5411\u662f\u5177\u8eab\u667a\u80fd\u3002\u535a\u58eb\u671f\u95f4\uff0c\u4ed6\u63d0\u51fa\u4e86 RelatiViT \u6a21\u578b\uff0c\u5b9e\u73b0\u4ece\u9884\u8bad\u7ec3\u89c6\u89c9\u6a21\u578b\u4e2d\u63d0\u53d6\u7a7a\u95f4\u5173\u7cfb\u4fe1\u606f\uff1b\u63d0\u51fa\u4e86 Any-point Trajectory Modeling (ATM) \u65b9\u6848\uff0c\u5b9e\u73b0\u4e86\u5c0f\u6837\u672c\u4e0e\u8de8\u5177\u8eab\u6a21\u4eff\u5b66\u4e60\u7684\u80fd\u529b\u3002\u540c\u65f6\uff0c\u4ed6\u8fd8\u53d1\u73b0\u5e76\u5b9a\u4e49\u4e86\u6a21\u4eff\u5b66\u4e60\u4e2d\u56e0\u4e3a\u65f6\u5e8f\u4fe1\u606f\u9020\u6210\u7684\u865a\u5047\u5173\u8054\u6027\u800c\u51fa\u73b0\u7684 copycat problem\uff0c\u5e76\u63d0\u51fa\u7cfb\u5217\u89e3\u51b3\u65b9\u6848\u3002\u4ed6\u5171\u53d1\u8868\u56fd\u9645\u9876\u4f1a\u8bba\u6587 13 \u7bc7\uff0c\u5176\u4e2d 7 \u7bc7\u4e3a\u7b2c\u4e00\u4f5c\u8005\u3002\u6b64\u5916\uff0c\u6c76\u5ddd\u8fd8\u662f NeurIPS\u3001ICML\u3001ICLR\u3001CVPR\u3001ECCV \u7b49\u56fd\u9645\u4f1a\u8bae\u548c RA-L \u7b49\u56fd\u9645\u671f\u520a\u7684\u5ba1\u7a3f\u4eba\u3002<\/p>\n<p><strong>\u5434\u6d77\u65ed<\/strong><\/p>\n<ul>\n<li>\n<section>\u9662\u6821\uff1a\u6e05\u534e\u5927\u5b66<\/section>\n<\/li>\n<li>\n<section>\u7814\u7a76\u9886\u57df\uff1a\u6df1\u5ea6\u5b66\u4e60\u3001\u79d1\u5b66\u673a\u5668\u5b66\u4e60<\/section>\n<\/li>\n<li>\n<section>\u5bfc\u5e08\uff1a\u9f99\u660e\u76db<\/section>\n<\/li>\n<\/ul>\n<p>\u5434\u6d77\u65ed\u7684\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u662f\u6df1\u5ea6\u5b66\u4e60\u548c\u79d1\u5b66\u673a\u5668\u5b66\u4e60\u3002\u4ed6\u63d0\u51fa\u7684 Corrformer \u9996\u6b21\u5b9e\u73b0\u4e86\u5168\u7403\u6570\u4e07\u53f0\u7269\u8054\u7f51\u8bbe\u5907\u7684\u8054\u5408\u9884\u6d4b\u3002\u4ed6\u5f00\u6e90\u7684\u65f6\u5e8f\u5206\u6790\u7b97\u6cd5\u5e93 Time-Series-Library\uff0c\u83b7\u5f97\u4e86 7000 \u591a\u4e2a GitHub \u661f\u6807\uff0c\u5728\u5168\u7f51 70000 \u591a\u4e2a\u65f6\u5e8f\u76f8\u5173\u4ed3\u5e93\u4e2d\u6392\u540d\u524d\u4e07\u5206\u4e4b\u4e8c\u3002\u6b64\u5916\uff0c\u4ed6\u63d0\u51fa\u7684\u5c40\u57df\u4f18\u5316\u7406\u8bba RoPINN \u548c PDE \u5feb\u901f\u6c42\u89e3\u7f51\u7edc Transolver\uff0c\u53ef\u4ee5\u5728\u79d2\u7ea7\u5b8c\u6210\u5343\u4e07\u7ea7\u7f51\u683c\u7684\u6a21\u62df\u3002\u5f53\u524d\uff0c\u4ed6\u4f5c\u4e3a\u7b2c\u4e00\u4f5c\u8005\uff08\u542b\u5171\u4e00\uff09\u5728 Nature Machine Intelligence\u3001ICML\u3001NeurIPS\u3001ICLR \u7b49\u56fd\u9645\u9876\u4f1a\u9876\u520a\u53d1\u8868\u8bba\u6587 10 \u4f59\u7bc7\uff0c\u8c37\u6b4c\u5b66\u672f\u5f15\u7528 5000 \u4f59\u6b21\u3002<\/p>\n<p><strong>\u5434\u777f\u6d77<\/strong><\/p>\n<ul>\n<li>\n<section>\u9662\u6821\uff1a\u5317\u4eac\u5927\u5b66<\/section>\n<\/li>\n<li>\n<section>\u7814\u7a76\u9886\u57df\uff1a\u5177\u8eab\u64cd\u4f5c\u548c\u4e09\u7ef4\u89c6\u89c9<\/section>\n<\/li>\n<li>\n<section>\u5bfc\u5e08\uff1a\u8463\u8c6a<\/section>\n<\/li>\n<\/ul>\n<p>\u5434\u777f\u6d77\u7684\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u662f\u5177\u8eab\u64cd\u4f5c\u548c\u4e09\u7ef4\u89c6\u89c9\u3002\u5728\u5177\u8eab\u667a\u80fd\u7684\u7269\u4f53\u64cd\u4f5c\u8fd9\u4e00\u9886\u57df\uff0c\u9488\u5bf9\u4e0d\u540c\u7c7b\u522b\u548c\u5c5e\u6027\u7684\u7269\u4f53\uff0c\u4ed6\u63d0\u51fa\u4e86\u4e00\u7cfb\u5217\u7269\u4f53\u64cd\u4f5c\u7684\u89c6\u89c9\u8868\u5f81\uff0c\u7528\u4ee5\u6307\u5bfc\u5b8c\u6210\u67d4\u6027\u3001\u94f0\u63a5\u7b49\u4e0d\u540c\u7269\u4f53\u7684\u4e0d\u540c\u64cd\u4f5c\u4efb\u52a1\uff08\u5982\u53e0\u8863\u670d\uff0c\u5f00\u62bd\u5c49\uff0c\u7269\u4f53\u62fc\u63a5\u7b49\uff09\uff0c\u5e76\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u901a\u8fc7\u6784\u5efa\u65b0\u7684\u6a21\u62df\u73af\u5883\uff0c\u4ee5\u652f\u6301\u66f4\u590d\u6742\u548c\u771f\u5b9e\u7684\u64cd\u4f5c\u4efb\u52a1\u3002\u5f53\u524d\uff0c\u4ed6\u5df2\u5728 RSS\u3001NeurIPS\u3001ICLR\u3001CVPR\u3001ICCV\u3001ECCV\u3001ICRA \u7b49\u9876\u7ea7\u4f1a\u8bae\uff0c\u53d1\u8868\u4e86\u8fd1 20 \u7bc7\u8bba\u6587\u3002<\/p>\n<p><strong>\u5434\u80dc\u743c<\/strong><\/p>\n<ul>\n<li>\n<section>\u9662\u6821\uff1a\u65b0\u52a0\u5761\u56fd\u7acb\u5927\u5b66<\/section>\n<\/li>\n<li>\n<section>\u7814\u7a76\u9886\u57df\uff1a\u591a\u6a21\u6001\u5b66\u4e60\uff0c\u901a\u7528\u5927\u8bed\u8a00\u6a21\u578b<\/section>\n<\/li>\n<li>\n<section>\u5bfc\u5e08\uff1aChua Tat-seng<\/section>\n<\/li>\n<\/ul>\n<p>\u5434\u80dc\u743c\u7684\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u662f\u591a\u6a21\u6001\u5b66\u4e60\u548c\u5927\u6a21\u578b\u3002\u76ee\u524d\uff0c\u5979\u5df2\u5728\u591a\u6a21\u6001\u5b66\u4e60\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4ee5\u53ca\u673a\u5668\u5b66\u4e60\u7b49\u9886\u57df\u9876\u4f1a\u4e0a\uff08\u5982 NeurIPS, ICML, ACL, ACM MM\uff09\u53d1\u8868\u4e86\u591a\u7bc7\u8bba\u6587\uff0c\u8c37\u6b4c\u5b66\u672f\u88ab\u5f15\u6b21\u6570\u8fbe 2000 \u6b21\u3002\u5434\u80dc\u743c\u4e5f\u83b7\u5f97\u4e86\u591a\u9879\u56fd\u9645\u3001\u4f01\u4e1a\u3001\u6821\u7ea7\u5956\u52b1\u548c\u8363\u8a89\uff0c\u7531\u5979\u4e3b\u5bfc\u7684\u901a\u7528\u591a\u6a21\u6001\u5927\u8bed\u8a00\u6a21\u578b \u201cNExT-GPT\u201d \u5de5\u4f5c\u83b7\u5f97\u4e86\u5927\u8bed\u8a00\u6a21\u578b\u793e\u533a\u5e7f\u6cdb\u7684\u5173\u6ce8\u548c\u8ba4\u53ef\uff0c\u76f8\u5173\u5f00\u6e90\u9879\u76ee\u5df2\u83b7\u5f97\u8d85 3.4k \u661f\u6807\u3002<\/p>\n<p><strong>\u6768\u4e3d\u9e64<\/strong><\/p>\n<ul>\n<li>\n<section>\u9662\u6821\uff1a\u9999\u6e2f\u5927\u5b66<\/section>\n<\/li>\n<li>\n<section>\u7814\u7a76\u9886\u57df\uff1a\u89c6\u89c9\u57fa\u7840\u6a21\u578b\u3001\u4ee5\u6570\u636e\u9a71\u52a8\u7684 AI Research<\/section>\n<\/li>\n<li>\n<section>\u5bfc\u5e08\uff1a\u8d75\u6052\u723d<\/section>\n<\/li>\n<\/ul>\n<p>\u6768\u4e3d\u9e64\u7684\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u662f\u89c6\u89c9\u57fa\u7840\u6a21\u578b\u548c\u6570\u636e\u9a71\u52a8 AI\uff0c\u76f8\u5173\u7814\u7a76\u6210\u679c\u7684 Github Star \u6570\u5df2\u8d85 12000 \u6b21\uff0c\u5f00\u6e90\u6a21\u578b\u5728 Hugging Face \u4e0a\u7d2f\u8ba1\u88ab\u4e0b\u8f7d\u8d85 700 \u4e07\u6b21\uff0c\u4e14\u88ab\u6536\u5f55\u8fdb Transformers \u5e93\u548c Apple Core ML Models\u3002\u4f5c\u4e3a\u7b2c\u4e00\u4f5c\u8005\uff0c\u4ed6\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u4eba\u5de5\u667a\u80fd\u9876\u7ea7\u4f1a\u8bae CVPR\u3001ICCV\u3001NeurIPS \u4e0a\u5171\u53d1\u8868\u4e86 7 \u7bc7\u8bba\u6587\uff0c\u5305\u542b\u4e00\u7bc7 oral \u8bba\u6587\uff0c\u8c37\u6b4c\u5b66\u672f\u5f15\u7528 1500 \u4f59\u6b21\uff0c\u5e76\u5165\u9009 CVPR 2024 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\u6838\u5fc3\u300d<\/strong><\/p>\n<p>\u50cf Hunter \u548c Eric 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\u5e74\u8d44\u672c\u5f00\u652f\u8fbe\u5230 800 \u4ebf\u5143\uff0c\u63a5\u8fd1 BAT \u4e09\u5bb6\u7684\u603b\u548c\uff08\u7ea6 1000 \u4ebf\u5143\uff09\u3002\u800c\u5728\u5df2\u7ecf\u5230\u6765\u7684 2025 \u5e74\uff0c\u5b57\u8282\u8df3\u52a8\u8d44\u672c\u5f00\u652f\u6709\u671b\u8fbe\u5230 1600 \u4ebf\u5143\uff0c\u5176\u4e2d\u7ea6 900 \u4ebf\u5143\u5c06\u7528\u4e8e AI \u7b97\u529b\u7684\u91c7\u8d2d\uff0c700 \u4ebf\u5143\u7528\u4e8e IDC \u57fa\u5efa\u4ee5\u53ca\u7f51\u7edc\u8bbe\u5907\u3002<\/p>\n<p><strong>\u867d\u7136\u5b57\u8282\u8df3\u52a8\u5b98\u65b9\u58f0\u660e\u79f0\u5e02\u573a\u4f20\u8a00\u7684\u8d44\u672c\u5f00\u652f\u5e76\u4e0d\u51c6\u786e\uff0c\u4f46\u968f\u7740\u8c46\u5305\u5927\u6a21\u578b\u65e5\u5747\u8c03\u7528\u91cf\u4ece 1200 \u4ebf tokens \u5230 40000 \u4ebf\u7684\u98de\u901f\u63d0\u5347\uff0c\u6ca1\u6709\u4eba\u4f1a\u6000\u7591\u5b57\u8282\u8df3\u52a8\u5728\u57fa\u7840\u8bbe\u65bd\u6295\u5165\u4e0a\u7684\u5de8\u5927\u51b3\u5fc3\u3002<\/strong>\u8fd1\u65e5\u8fd8\u6709\u6d88\u606f\u663e\u793a\uff0c\u5b57\u8282\u8df3\u52a8\u53d1\u5e03\u4e86\u81ea\u5efa\u6570\u636e\u4e2d\u5fc3\u53d8\u7535\u7ad9\u8bbe\u8ba1\u6846\u67b6\u91c7\u8d2d\u5bfb\u6e90\u516c\u544a\u3002\u8fd9\u4e00\u52a8\u4f5c\u610f\u5473\u7740\u5b57\u8282\u8df3\u52a8\u5e0c\u671b\u5728\u7535\u529b\u4f9b\u5e94\u4e0a\u5b9e\u73b0\u66f4\u5927\u7684\u81ea\u4e3b\u6743\u548c\u53ef\u63a7\u6027\uff0c\u540c\u65f6\u9002\u5e94\u4e1a\u52a1\u6269\u5f20\u4ee5\u53ca\u652f\u6301\u9ad8\u7b97\u529b\u9700\u6c42\u3002<\/p>\n<p>\u89c4\u5212\u548c\u5efa\u8bbe\u65b0\u7684\u6570\u636e\u4e2d\u5fc3\u4ee5\u652f\u6491\u65e5\u76ca\u589e\u957f\u7684 AI \u8ba1\u7b97\u9700\u6c42\uff0c\u4e5f\u662f\u5168\u7403\u79d1\u6280\u5de8\u5934\u76ee\u524d\u7684\u5171\u540c\u9009\u62e9\u30022024 \u5e74 4 \u6708\u4efd\uff0c\u5fae\u8f6f\u4e0e OpenAI \u8ba1\u5212\u6295\u8d44 1000 \u4ebf\u7f8e\u5143\u6253\u9020\u300c\u661f\u9645\u4e4b\u95e8\u300d\u8d85\u7b97\uff0c\u800c Meta\u3001\u8c37\u6b4c\u3001\u4e9a\u9a6c\u900a\u7b49\u79d1\u6280\u5de8\u5934\u4e5f\u90fd\u5728\u6570\u636e\u4e2d\u5fc3\u7684\u90e8\u7f72\u4e0a\u96c4\u5fc3\u52c3\u52c3\u3002\u5728\u8fd9\u4e2a\u5c42\u9762\uff0c\u5b57\u8282\u8df3\u52a8\u7684\u7ade\u4e89\u529b\u6beb\u4e0d\u900a\u8272\u3002<\/p>\n<p>\u6709\u4e86\u96c4\u539a\u7684\u5b9e\u529b\u4f5c\u4e3a\u57fa\u7840\uff0c\u6280\u672f\u4eba\u624d\u7684\u6210\u957f\u7a7a\u95f4\u81ea\u7136\u65e0\u9650\u3002<\/p>\n<p><strong>\u5176\u6b21\uff0c\u98de\u901f\u53d1\u5c55\u7684 AI \u4e1a\u52a1\uff0c\u8ba9\u5b57\u8282\u8df3\u52a8\u5bf9\u4eba\u624d\u7684\u6e34\u6c42\u8fdc\u8d85\u4e8e\u5176\u4ed6\u79d1\u6280\u516c\u53f8\uff0c\u4e5f\u63d0\u4f9b\u7740\u6781\u5177\u7ade\u4e89\u529b\u7684\u85aa\u916c\u4e0e\u56de\u62a5\u3002<\/strong><\/p>\n<p>\u5b57\u8282\u8df3\u52a8\u8bbe\u7f6e\u4e86\u4f17\u591a\u4eba\u624d\u9879\u76ee\uff0c\u4ee5\u589e\u52a0\u5bf9\u9ad8\u7aef\u6280\u672f\u4eba\u624d\u7684\u5438\u5f15\u529b\u3002\u5728\u9762\u5411\u5728\u8bfb\u535a\u58eb\u751f\u7684\u5956\u5b66\u91d1\u7c7b\u9879\u76ee\u4e4b\u5916\uff0c\u5b57\u8282\u8df3\u52a8\u8fd8\u6709 Top Seed\u3001\u7b4b\u6597\u4e91\u7b49\u4eba\u624d\u8ba1\u5212\u3002<\/p>\n<p>\u6bd4\u5982\uff0cTop Seed \u5c31\u662f\u5b57\u8282\u8df3\u52a8\u8c46\u5305\u5927\u6a21\u578b\u56e2\u961f\u9762\u5411\u6821\u56ed\u4f18\u79c0\u4eba\u624d\u63a8\u51fa\u7684\u4e13\u9879\u3002\u4e0d\u540c\u4e8e\u4e00\u822c\u4eba\u624d\u9879\u76ee\u7684\u5404\u79cd\u300c\u786c\u6027\u7b5b\u9009\u6761\u4ef6\u300d\uff0cTop Seed \u66f4\u770b\u91cd\u5019\u9009\u4eba\u80fd\u591f\u300c\u6000\u6709\u79d1\u6280\u6539\u53d8\u4e16\u754c\u7684\u8fdc\u5927\u62b1\u8d1f\uff0c\u6562\u4e8e\u521b\u65b0\u300d\uff0c\u80fd\u591f\u53c2\u4e0e\u884c\u4e1a\u9876\u5c16\u7684\u6280\u672f\u6311\u6218\u548c\u653b\u575a\u3002<\/p>\n<p>\u4e0e\u6b64\u540c\u65f6\uff0c\u4e00\u6279\u4e1a\u5185\u5927\u725b\u9646\u7eed\u52a0\u5165\u5b57\u8282\u8df3\u52a8\u3002\u636e\u4f20\uff0c\u963f\u91cc\u901a\u4e49\u5927\u6a21\u578b\u6280\u672f\u8d1f\u8d23\u4eba\u5468\u7545\u3001\u96f6\u4e00\u4e07\u7269\u6280\u672f\u8054\u521b\u9ec4\u6587\u704f\u3001\u8c37\u6b4c VideoPoet \u8d1f\u8d23\u4eba\u848b\u8def\u7b49\u5df2\u52a0\u5165\u8c46\u5305\u5927\u6a21\u578b\u56e2\u961f\uff0c\u66f4\u589e\u6dfb\u4e86\u5b57\u8282\u8df3\u52a8\u5bf9\u6280\u672f\u4eba\u624d\u7684\u5438\u5f15\u529b\u3002<\/p>\n<p><strong>\u5728\u4e0e\u56fd\u5185\u77e5\u540d\u9ad8\u6821\u7684\u4ea7\u5b66\u7814\u6df1\u5ea6\u5408\u4f5c\u4e0a\uff0c\u5b57\u8282\u8df3\u52a8\u4e5f\u6709\u5927\u529b\u6295\u5165\u3002<\/strong>2024 \u5e74 10 \u6708\uff0c\u6e05\u534e\u5927\u5b66\u667a\u80fd\u4ea7\u4e1a\u7814\u7a76\u9662\uff08AIR\uff09\u4e0e\u5b57\u8282\u8df3\u52a8\u5728\u6e05\u534e\u5927\u5b66\u6210\u7acb\u4e86\u300c\u53ef\u6269\u5c55\u5927\u6a21\u578b\u667a\u80fd\u6280\u672f\u8054\u5408\u7814\u7a76\u4e2d\u5fc3\u300d\uff08SIALab\uff09\uff0c\u65e8\u5728\u57fa\u4e8e\u5927\u6a21\u578b\u6280\u672f\u5e94\u7528\u7684\u5e7f\u9614\u524d\u666f\uff0c\u63a8\u52a8\u66f4\u9ad8\u6548\u7684\u521b\u65b0\u4e0e\u5b9e\u8df5\u30022024 \u5e74 12 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