{"id":37833,"date":"2025-02-05T13:01:00","date_gmt":"2025-02-05T05:01:00","guid":{"rendered":"https:\/\/17aitech.com\/?p=37833"},"modified":"2025-02-05T13:01:00","modified_gmt":"2025-02-05T05:01:00","slug":"%e7%bb%99%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%88%b6%e4%bd%9c%e5%9b%be%e6%96%87%e5%b9%b6%e8%8c%82%e7%9a%84%e6%95%99%e7%a7%91%e4%b9%a6-%e4%bb%8e2-5%e5%b9%b4%e7%9a%84%e6%95%99%e5%ad%a6%e8%a7%86%e9%a2%91","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=37833","title":{"rendered":"\u7ed9\u5927\u6a21\u578b\u5236\u4f5c\u56fe\u6587\u5e76\u8302\u7684\u6559\u79d1\u4e66: \u4ece2.5\u5e74\u7684\u6559\u5b66\u89c6\u9891\u91cc\u6316\u6398\u591a\u6a21\u6001\u8bed\u6599"},"content":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2025-01-20\" target=\"_blank\">\u7ed9\u5927\u6a21\u578b\u5236\u4f5c\u56fe\u6587\u5e76\u8302\u7684\u6559\u79d1\u4e66: \u4ece2.5\u5e74\u7684\u6559\u5b66\u89c6\u9891\u91cc\u6316\u6398\u591a\u6a21\u6001\u8bed\u6599<\/a><\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-ba7c90ce699391951fc4b7b95b644ab8.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-ba7c90ce699391951fc4b7b95b644ab8.png\"><\/a><\/section>\n<blockquote data-author-name=\"\" data-content-utf8-length=\"166\" data-source-title=\"\" data-type=\"2\" data-url=\"\">\n<section>\n<section>AIxiv\u4e13\u680f\u662f\u673a\u5668\u4e4b\u5fc3\u53d1\u5e03\u5b66\u672f\u3001\u6280\u672f\u5185\u5bb9\u7684\u680f\u76ee\u3002\u8fc7\u53bb\u6570\u5e74\uff0c\u673a\u5668\u4e4b\u5fc3AIxiv\u4e13\u680f\u63a5\u6536\u62a5\u9053\u4e862000\u591a\u7bc7\u5185\u5bb9\uff0c\u8986\u76d6\u5168\u7403\u5404\u5927\u9ad8\u6821\u4e0e\u4f01\u4e1a\u7684\u9876\u7ea7\u5b9e\u9a8c\u5ba4\uff0c\u6709\u6548\u4fc3\u8fdb\u4e86\u5b66\u672f\u4ea4\u6d41\u4e0e\u4f20\u64ad\u3002\u5982\u679c\u60a8\u6709\u4f18\u79c0\u7684\u5de5\u4f5c\u60f3\u8981\u5206\u4eab\uff0c\u6b22\u8fce\u6295\u7a3f\u6216\u8005\u8054\u7cfb\u62a5\u9053\u3002\u6295\u7a3f\u90ae\u7bb1\uff1aliyazhou@jiqizhixin.com\uff1bzhaoyunfeng@jiqizhixin.com<\/section>\n<\/section>\n<\/blockquote>\n<section><\/section>\n<section>\u8fd1\u671f\u5173\u4e8e scaling law \u7684\u8ba8\u8bba\u751a\u56a3\u5c18\u4e0a\uff0c\u5f88\u591a\u89c2\u70b9\u8ba4\u4e3a scale law is dead. \u7136\u800c\uff0c\u6211\u4eec\u8ba4\u4e3a\uff0c\u9ad8\u8d28\u91cf\u7684 \u201c\u65e0\u76d1\u7763\u201d \u6570\u636e\u624d\u662f scaling law \u7684\u5173\u952e\uff0c\u5c24\u5176\u662f\u6559\u79d1\u4e66\u7ea7\u522b\u7684\u9ad8\u8d28\u91cf\u7684\u77e5\u8bc6\u8bed\u6599\u3002\u6b64\u5916\uff0c\u5c3d\u7ba1\u4f20\u7edf\u7684\u8bed\u6599\u5feb\u67af\u7aed\u4e86\uff0c\u4f46\u662f\u4e92\u8054\u7f51\u4e0a\u8fd8\u6709\u6d77\u91cf\u7684\u89c6\u9891\u5e76\u6ca1\u6709\u88ab\u5229\u7528\u8d77\u6765\uff0c\u5b83\u4eec\u56ca\u62ec\u4e86\u4e30\u5bcc\u7684\u591a\u79cd\u6a21\u6001\u7684\u77e5\u8bc6\uff0c\u53ef\u4ee5\u5e2e\u52a9 VLMs \u66f4\u597d\u597d\u5730\u7406\u89e3\u4e16\u754c\u3002<\/section>\n<section><\/section>\n<section>\u6d59\u5927\u548c\u963f\u91cc\u5df4\u5df4\u8fbe\u6469\u9662\u8054\u5408\u63d0\u51fa\u4e00\u4e2a\u56fe\u6587\u4ea4\u7ec7\u7684\u591a\u6a21\u6001\u77e5\u8bc6\u8bed\u6599\uff1a\u4ed6\u4eec\u6536\u96c6\u4e92\u8054\u7f51\u4e0a\u8d85\u8fc7 22000 \u8bfe\u65f6 (\u4e24\u5e74\u534a) \u7684\u6559\u5b66\u89c6\u9891\uff0c\u63d0\u53d6\u5173\u952e\u6b65\u9aa4\u7684\u753b\u9762\u548c\u97f3\u9891\uff08\u8f6c\u5f55\u6210\u6587\u672c\uff09\uff0c\u7ec4\u7ec7\u6210\u8fde\u8d2f\u3001\u56fe\u6587\u4ea4\u7ec7\u7684\u683c\u5f0f\uff0c\u5236\u4f5c\u6210\u6570\u5b66\uff0c\u7269\u7406\uff0c\u5316\u5b66\u7b49\u591a\u4e2a\u5b66\u79d1\u7684\u56fe\u6587\u6559\u79d1\u4e66 (textbook)\u3002\u57fa\u4e8e\u8fd9\u4e9b textbook\uff0cVLMs \u53ef\u4ee5\u50cf\u4eba\u7c7b\u4e0a\u8bfe\u4e00\u6837\u5b66\u4e60\u8fd9\u4e9b\u56fe\u6587\u4ea4\u7ec7\uff0c\u7531\u6613\u81f3\u96be\u7684\u5b66\u79d1\u77e5\u8bc6\u3002<\/section>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-a292fc201d8d300f0ce0d109aebbedf2.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-a292fc201d8d300f0ce0d109aebbedf2.png\"><\/a><\/section>\n<ul>\n<li>\n<section>\u8bba\u6587\u5730\u5740: arxiv.org\/abs\/2501.00958<\/section>\n<\/li>\n<li>\n<section>Code: <a href=\"https:\/\/github.com\/DAMO-NLP-SG\/multimodal_textbook\">https:\/\/github.com\/DAMO-NLP-SG\/multimodal_textbook<\/a><\/section>\n<\/li>\n<\/ul>\n<section><a href=\"https:\/\/mp.weixin.qq.com\/s\/EnWKCYrO0utokoUd1o_cOg?token=1814885691&amp;lang=zh_CN\"><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-84c07d8b627c94f0b9fa7085d96fd67a.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-84c07d8b627c94f0b9fa7085d96fd67a.png\"><\/a><\/a><\/section>\n<section>\u8be5\u7814\u7a76\u8fd8\u767b\u4e0a\u4e86huggingface dataset trending\u699c\u5355\uff0c\u4e0d\u5230\u4e24\u5468\u4e0b\u8f7d\u91cf\u5df2\u7ecf7000+\u3002<\/section>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-6cd40fe312971df3189aaff93c9c7d4d.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-6cd40fe312971df3189aaff93c9c7d4d.png\"><\/a><\/section>\n<section><strong>1. \u80cc\u666f\u548c\u52a8\u673a<\/strong><\/section>\n<section><\/section>\n<section>\u5f53\u524d\u591a\u6a21\u6001\u5927\u6a21\u578b\uff08VLMs\uff09\u7684\u9884\u8bad\u7ec3\u8bed\u6599\u4e3b\u8981\u6709\u4e24\u79cd\u5f62\u5f0f\uff1a\u56fe\u50cf &#8211; \u6587\u672c\u5bf9\u8bed\u6599\u4ee5\u53ca\u56fe\u6587\u4ea4\u7ec7\u8bed\u6599:\u00a0<\/section>\n<section><\/section>\n<ul>\n<li>\n<section>\u56fe\u6587\u5bf9\u6570\u636e (image-text pair corpus)\uff1a\u591a\u6a21\u6001\u6a21\u578b\u901a\u5e38\u4f9d\u8d56\u5927\u91cf\u56fe\u6587\u5bf9\u6570\u636e\u8fdb\u884c\u9884\u8bad\u7ec3\uff0c\u8fd9\u79cd\u6570\u636e\u80fd\u5feb\u901f\u5bf9\u9f50\u56fe\u50cf\u4e0e\u6587\u672c\u3002<\/section>\n<\/li>\n<li>\n<section>\u56fe\u6587\u4ea4\u9519\u6570\u636e\u96c6 (image-text Interleaved corpus)\uff1a\u5982 MMC4, OBELICS \u7b49\u6570\u636e\u96c6\uff0c\u5b83\u4eec\u5f15\u5165\u4e86\u66f4\u52a0\u81ea\u7136\uff0c\u66f4\u52a0\u7075\u6d3b\u7684\u56fe\u6587\u4efb\u610f\u4ea4\u7ec7\u5f62\u5f0f\u3002\u8fd9\u4e9b\u8bed\u6599\u7531\u7a7f\u63d2\u7740\u56fe\u50cf\u7684\u6587\u672c\u6bb5\u843d\u7ec4\u6210\uff0c\u901a\u5e38\u662f\u4ece\u7f51\u9875\u548c\u6587\u6863\uff08\u5982 Common Crawl\uff09\u4e2d\u6293\u53d6\u7684\u3002\u4e0e\u56fe\u50cf &#8211; \u6587\u672c\u5bf9\u6570\u636e\u76f8\u6bd4\uff0c\u56fe\u6587\u4ea4\u9519\u8bed\u6599\u5e93\u4f7f VLMs \u80fd\u591f\u66f4\u81ea\u7136\u5730\u5904\u7406\u4efb\u610f\u8f93\u5165\uff0c\u50cf\u4eba\u7c7b\u4e00\u6837\u7406\u89e3\u4e16\u754c\u3002<\/section>\n<\/li>\n<\/ul>\n<section><\/section>\n<section>\u7136\u800c\u5f53\u524d\u7684 interleaved corpus \u5927\u591a\u722c\u53d6\u81ea\u7f51\u9875\u6216\u8005\u6587\u6863\uff0c\u5b58\u5728\u4ee5\u4e0b\u95ee\u9898\uff1a<\/section>\n<section><\/section>\n<section>\uff081\uff09\u6587\u672c\u4e0e\u56fe\u50cf\u5173\u7cfb\u677e\u6563\uff1a\u7f51\u9875\u4e2d\u7684\u56fe\u50cf\u548c\u6587\u672c\u4e4b\u95f4\u7684\u5173\u8054\u901a\u5e38\u5f88\u677e\u6563\uff0c\u751a\u81f3\u53ef\u80fd\u5305\u62ec\u4e0d\u76f8\u5173\u7684\u56fe\u50cf\uff0c\u4f8b\u5982\u5fbd\u6807\u6216\u5e7f\u544a\u3002<\/section>\n<section>\uff082\uff09\u56fe\u50cf\u5e8f\u5217\u7f3a\u4e4f\u903b\u8f91\u8fde\u8d2f\u6027\uff1a\u5927\u591a\u6570\u7f51\u9875\u5305\u542b\u7684\u56fe\u50cf\u76f8\u5bf9\u8f83\u5c11\uff0c\u66f4\u91cd\u8981\u7684\u662f\uff0c\u56fe\u50cf\u4e4b\u95f4\u7684\u903b\u8f91\u5173\u7cfb\u5f80\u5f80\u5f88\u6a21\u7cca\uff0c\u4f7f\u5f97\u5b66\u4e60\u590d\u6742\u7684\u89c6\u89c9\u63a8\u7406\u53d8\u5f97\u56f0\u96be\u3002<\/section>\n<section>\uff083\uff09\u77e5\u8bc6\u5bc6\u5ea6\u4f4e\uff1a\u6293\u53d6\u7684\u7f51\u9875\u4e0d\u53ef\u907f\u514d\u5730\u5305\u62ec\u65b0\u95fb\u3001\u5a31\u4e50\u548c\u5e7f\u544a\u63a8\u8350\u7b49\u5185\u5bb9\uff0c\u5f88\u5c11\u6d89\u53ca\u4e13\u4e1a\u77e5\u8bc6\uff0c\u5373\u77e5\u8bc6\u5bc6\u5ea6\u8f83\u4f4e\u3002<\/section>\n<section><\/section>\n<section>\u56e0\u6b64\uff0c\u63a2\u7d22\u5982\u4f55\u6784\u5efa\u9ad8\u8d28\u91cf\u3001\u6559\u79d1\u4e66\u7ea7\u522b\u7684 interleaved \u6570\u636e\u96c6\u662f\u975e\u5e38\u5fc5\u8981\u7684\u3002\u6b64\u5916\u6211\u4eec\u8fd8\u6ce8\u610f\u5230\u4e92\u8054\u7f51\u4e2d\u5b58\u5728\u7684\u6d77\u91cf\u7684\u6559\u5b66\u89c6\u9891 (\u4f8b\u5982 Youtube \u4e0a\u7684\u5728\u7ebf\u8bfe\u7a0b\uff09\uff0c\u8fd9\u4e9b\u89c6\u9891\u5305\u542b\u4e30\u5bcc\u7684\u77e5\u8bc6\uff0c\u4eba\u4eec\u7ecf\u5e38\u4f7f\u7528\u8fd9\u4e9b\u89c6\u9891\u6765\u5b66\u4e60\u57fa\u7840\u5b66\u79d1\u77e5\u8bc6\uff0c\u4f46\u8fd9\u4e9b\u5b9d\u8d35\u8d44\u6e90\u5728 VLMs \u8bad\u7ec3\u4e2d\u4ecd\u672a\u5f97\u5230\u5145\u5206\u5229\u7528\u3002\u57fa\u4e8e\u6b64\uff0c\u6211\u4eec\u601d\u8003\u5982\u4f55\u8ba9 VLMs \u50cf\u4eba\u7c7b\u4e00\u6837\uff0c\u5229\u7528\u8fd9\u4e9b\u6559\u5b66\u89c6\u9891\u8fdb\u884c\u9ad8\u8d28\u91cf\u7684\u9884\u8bad\u7ec3\uff0c\u4ece\u800c\u63d0\u5347\u5176\u77e5\u8bc6\u6c34\u5e73\u548c\u63a8\u7406\u80fd\u529b\u3002\u4e3a\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\uff0c\u5173\u952e\u5728\u4e8e\u5c06\u8fd9\u4e9b\u6559\u5b66\u89c6\u9891\u8f6c\u5316\u4e3a\u6559\u79d1\u4e66\u7ea7\u522b\u7684\u56fe\u6587\u4ea4\u7ec7\u8bad\u7ec3\u8bed\u6599\u3002<\/section>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-f82d4c84c1b3113e9674f4dd3d734eff.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-f82d4c84c1b3113e9674f4dd3d734eff.png\"><\/a><\/section>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-4faf8475a141a9f90bf8dc9dd022d24a.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-4faf8475a141a9f90bf8dc9dd022d24a.png\"><\/a><\/section>\n<section><strong>2. \u65b9\u6cd5\uff1a\u5982\u4f55\u5229\u7528\u6559\u5b66\u89c6\u9891\u6784\u5efa\u9ad8\u8d28\u91cf\u7684\u77e5\u8bc6\u8bed\u6599<\/strong><\/section>\n<section><\/section>\n<section><strong>2.1 LLM \u8f85\u52a9\u5206\u95e8\u522b\u7c7b\u5730\u6536\u96c6\u6559\u5b66\u89c6\u9891<\/strong><\/section>\n<section><\/section>\n<ul>\n<li>\n<section>\u77e5\u8bc6\u5206\u7c7b\u4f53\u7cfb\u7684\u6784\u5efa\uff1a\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u56db\u5c42\u7684\u77e5\u8bc6\u5206\u7c7b\u4f53\u7cfb\uff0c\u5305\u62ec\u5b66\u79d1\uff08Subject\uff09\u3001\u8bfe\u7a0b\uff08Course\uff09\u3001\u5b50\u8bfe\u7a0b\uff08Sub-course\uff09\u548c\u77e5\u8bc6\u70b9\uff08Knowledge Point\uff09\uff0c\u7136\u540e\u4f7f\u7528 LLM \u6765\u81ea\u52a8\u6784\u5efa\u8fd9\u4e2a\u5206\u7c7b\u4f53\u7cfb\u3002<\/section>\n<\/li>\n<li>\n<section>\u6db5\u76d6\u6570\u5b66\u3001\u7269\u7406\u3001\u5316\u5b66\u3001\u5730\u7403\u79d1\u5b66\u3001\u5de5\u7a0b\u5b66\u548c\u8ba1\u7b97\u673a\u79d1\u5b66\u516d\u5927\u5b66\u79d1\uff0c\u5171\u8ba1 55 \u95e8\u8bfe\u7a0b\uff0c\u7ec6\u5316\u4e3a 3915 \u4e2a\u77e5\u8bc6\u70b9\u3002<\/section>\n<\/li>\n<li>\n<section>\u793a\u4f8b\uff1a\u6570\u5b66\uff08\u5b66\u79d1\uff09 \u2192 \u5c0f\u5b66\u6570\u5b66\uff08\u8bfe\u7a0b\uff09 \u2192 \u6709\u7406\u6570\u4e0e\u65e0\u7406\u6570 \uff08\u5b50\u8bfe\u7a0b\uff09 \u2192 \u65e0\u7406\u6570\u7684\u5b9a\u4e49 \uff08\u77e5\u8bc6\u70b9\uff09\u3002<\/section>\n<\/li>\n<\/ul>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-a09cdef25056b9be7d2d89a1403b8f50.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-a09cdef25056b9be7d2d89a1403b8f50.png\"><\/a><\/section>\n<ul>\n<li>\n<section>\u6559\u5b66\u89c6\u9891\u7684\u6536\u96c6\u548c\u8fc7\u6ee4\uff1a<\/section>\n<\/li>\n<li>\n<section>\u4ee5\u6784\u5efa\u7684\u77e5\u8bc6\u4f53\u7cfb\u4e2d\u7684\u6bcf\u4e2a\u77e5\u8bc6\u70b9\u4e3a\u68c0\u7d22\u5173\u952e\u8bcd\uff0c\u5229\u7528\u5728\u7ebf\u89c6\u9891\u7f51\u7ad9 (\u4f8b\u5982 YouTube) \u7684 API \u641c\u7d22\u76f8\u5173\u6559\u5b66\u89c6\u9891\u7684\u5143\u6570\u636e\uff0c\u6bcf\u4e2a\u77e5\u8bc6\u70b9\u4fdd\u7559\u6392\u540d\u9760\u524d\u7684 50 \u4e2a\u89c6\u9891\u3002\u7136\u540e\u6211\u4eec\u5229\u7528 LLM \u5bf9\u6240\u6709\u89c6\u9891\u5143\u6570\u636e\u8fdb\u884c\u5ba1\u67e5 (\u89c6\u9891\u6807\u9898\uff0c\u7b80\u4ecb\uff0c\u8bc4\u8bba\u7b49\uff09\uff0c\u8fc7\u6ee4\u4e0d\u5408\u9002\u7684\u89c6\u9891\uff0c\u5e76\u4e14\u53bb\u9664\u91cd\u590d\u7684\u89c6\u9891\u3002<\/section>\n<\/li>\n<\/ul>\n<section><\/section>\n<section><strong>2.2 Video-to-Textbook Pipeline<\/strong><\/section>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-6bc1a31c6d2b2809d1b8c313388e36f1.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-6bc1a31c6d2b2809d1b8c313388e36f1.png\"><\/a><\/section>\n<section>\u4e3a\u4e86\u5c06\u6559\u5b66\u89c6\u9891\u8f6c\u5316\u4e3a\u591a\u6a21\u6001\u6559\u79d1\u4e66\uff0c\u6211\u4eec\u8bbe\u8ba1\u4e86\u4e00\u4e2a\u591a\u5c42\u7ea7\u7684\u5904\u7406\u6d41\u7a0b\uff0c\u5305\u62ec video-level\u3001clip-level \u548c keyframe-level\uff0c\u786e\u4fdd\u6570\u636e\u7684\u9ad8\u8d28\u91cf\u548c\u77e5\u8bc6\u7684\u5bc6\u96c6\u6027\u3002<\/section>\n<section><\/section>\n<section>\uff081\uff09 Long Video-Level<\/section>\n<section><\/section>\n<ul>\n<li>\n<section>\u97f3\u9891\u63d0\u53d6\u4e0e\u8f6c\u5f55\uff08ASR\uff09\uff1a\u4f7f\u7528 FFmpeg \u63d0\u53d6\u97f3\u9891\uff0c\u5e76\u901a\u8fc7 Whisper \u6a21\u578b\u8fdb\u884c\u8f6c\u5f55\uff0c\u5c06\u89c6\u9891\u7684\u8bb2\u89e3\u8f6c\u5316\u4e3a\u6587\u672c\u3002<\/section>\n<\/li>\n<li>\n<section>\u8f6c\u5f55\u6587\u672c\u8d28\u91cf\uff1a\u7531\u4e8e\u6559\u7a0b\u8bed\u97f3\u7684\u53e3\u8bed\u5316\u7279\u70b9\uff0cASR \u6587\u672c\u7684\u56f0\u60d1\u5ea6\uff08PPL\uff09\u8f83\u9ad8\u3002\u6211\u4eec\u901a\u8fc7 LLM \u91cd\u5199\u8f6c\u5f55\u6587\u672c\uff0c\u63d0\u5347\u5176\u6d41\u7545\u6027\u4e0e\u8fde\u8d2f\u6027\uff0c\u540c\u65f6\u4fdd\u6301\u539f\u59cb\u8bed\u4e49\u4e0d\u53d8\u3002<\/section>\n<\/li>\n<li>\n<section>\u89c6\u9891\u8d28\u91cf\u8bc4\u4f30\uff1a\u901a\u8fc7 LLM \u5bf9\u8f6c\u5f55\u6587\u672c\u8fdb\u884c\u5206\u6790\uff0c\u6309\u4ee5\u4e0b\u6807\u51c6\u8fc7\u6ee4\u4f4e\u8d28\u91cf\u89c6\u9891\uff1a<\/section>\n<\/li>\n<li>\n<section>\u76f8\u5173\u6027\uff1a\u786e\u4fdd\u8f6c\u5f55\u6587\u672c\u4e0e\u76ee\u6807\u77e5\u8bc6\u70b9\u5339\u914d\uff0c\u5254\u9664\u4e0e\u6559\u5b66\u5185\u5bb9\u65e0\u5173\u7684\u89c6\u9891\uff08\u5982\u5e7f\u544a\u3001\u7efc\u827a\u7247\u6bb5\uff09\u3002<\/section>\n<\/li>\n<li>\n<section>\u77e5\u8bc6\u5bc6\u5ea6\uff1a\u5254\u9664\u77e5\u8bc6\u70b9\u7a00\u758f\u3001\u5305\u542b\u5927\u91cf\u65e0\u610f\u4e49\u586b\u5145\u8bcd\u7684\u89c6\u9891\uff0c\u5982 \u201c\u55ef\u201d\u201c\u7136\u540e\u6211\u4eec\u5f97\u5230\u8fd9\u4e2a\u201d \u7b49\u53e3\u8bed\u8868\u8fbe\u3002<\/section>\n<\/li>\n<li>\n<section>\u8f6c\u5f55\u8d28\u91cf\uff1a\u5220\u9664 Whisper \u8f6c\u5f55\u8d28\u91cf\u8f83\u4f4e\u7684\u6587\u672c\uff0c\u4f8b\u5982\u91cd\u590d\u3001\u8bc6\u522b\u9519\u8bef\u7684\u6587\u672c\u3002<\/section>\n<\/li>\n<\/ul>\n<section><\/section>\n<section>\u6700\u7ec8\u6211\u4eec\u4fdd\u7559\u4e86 75,000 \u4e2a\u9ad8\u8d28\u91cf\u6559\u5b66\u89c6\u9891\u548c\u5bf9\u5e94\u7684 ASR\u3002<\/section>\n<section><\/section>\n<section>\uff082\uff09Video Clip-Level<\/section>\n<section><\/section>\n<ul>\n<li>\n<section>\u89c6\u9891\u5206\u5272\uff1a\u4e3a\u5b9e\u73b0\u6587\u672c\u4e0e\u5e27\u7684\u65f6\u95f4\u5bf9\u9f50\u3002\u6211\u4eec\u73b0\u5408\u5e76\u591a\u4e2a ASR \u7247\u6bb5\uff0c\u5f62\u6210\u5177\u6709\u5b8c\u6574\u8bed\u4e49\u7684\u53e5\u5b50\u3002\u7136\u540e\u5229\u7528\u5408\u5e76\u540e\u7684 ASR \u7684\u65f6\u95f4\u6233\u5c06\u957f\u89c6\u9891\u5207\u5206\u4e3a 10-20 \u79d2\u7684\u77ed\u7247\u6bb5 (video clip)\uff0c\u6bcf\u4e2a video clip \u5305\u542b\u4e00\u6bb5\u8bed\u97f3\u6587\u672c\u548c\u5bf9\u5e94\u7684\u89c6\u9891\u5e27\u3002<\/section>\n<\/li>\n<li>\n<section>\u89c6\u89c9\u77e5\u8bc6\u548c\u6587\u672c\u77e5\u8bc6\u5339\u914d\uff1a<\/section>\n<\/li>\n<li>\n<section>\u4f7f\u7528 VideoLlama2 \u4e3a\u6bcf\u4e2a video clip \u751f\u6210\u8be6\u7ec6\u63cf\u8ff0 (caption)\uff1b<\/section>\n<\/li>\n<li>\n<section>\u8ba1\u7b97 video clip \u7684 caption \u4e0e ASR \u6587\u672c\u7684\u76f8\u4f3c\u5ea6\uff0c\u5254\u9664\u89c6\u89c9\u5185\u5bb9\u4e0e\u6587\u672c\u5185\u5bb9\u4e0d\u5339\u914d\u7684\u7247\u6bb5\uff0c\u6216\u8005\u5254\u9664\u65e0\u4fe1\u606f\u91cf\u7684 clips\uff08\u4f8b\u5982\u5982\u8fc7\u6e21\u573a\u666f\uff0c\u4ec5\u6709\u6f14\u8bb2\u8005\u7684\u753b\u9762\u6216\u8005\u4e25\u91cd\u906e\u6321\u7684\u753b\u9762\uff09\u3002\u8fd9\u4e9b clips \u7684\u89c6\u89c9\u4fe1\u606f\u867d\u7136\u8fc7\u6ee4\u4e86\uff0c\u4f46\u662f\u5bf9\u5e94\u7684 ASR \u4f9d\u7136\u4fdd\u7559\u5728 textbook \u4e2d\u3002<\/section>\n<\/li>\n<\/ul>\n<section><\/section>\n<section>\uff083\uff09Keyframe-Level<\/section>\n<section><\/section>\n<ul>\n<li>\n<section>\u5173\u952e\u5e27\u68c0\u6d4b\uff1a\u901a\u8fc7\u8ba1\u7b97\u8fde\u7eed\u5e27\u4e4b\u95f4\u7684\u7ed3\u6784\u76f8\u4f3c\u6027\uff08 Structural Similarity Index, SSIM\uff09\uff0c\u63d0\u53d6\u89c6\u89c9\u53d8\u5316\u663e\u8457\u7684\u5e27\uff0c\u8fed\u4ee3\u5f0f\u5730\u8fc7\u6ee4\u6389\u91cd\u590d\u6216\u5197\u4f59\u7684\u753b\u9762\u3002<\/section>\n<\/li>\n<li>\n<section>OCR \u6587\u672c\u63d0\u53d6\uff1a\u7531\u4e8e\u6559\u5b66\u89c6\u9891\u4e2d\u5e38\u5305\u542b\u6587\u672c\u3001\u516c\u5f0f\u548c\u7b26\u53f7\u7b49\u91cd\u8981\u77e5\u8bc6\uff0c\u6211\u4eec\u4f7f\u7528\u5148\u8fdb\u7684 VLMs\uff08\u5982 InternVL\uff09\u5bf9\u5173\u952e\u5e27\u8fdb\u884c OCR\uff0c\u8fd9\u4e9b\u5185\u5bb9\u5f80\u5f80\u8574\u542b\u91cd\u8981\u7684\u6559\u5b66\u77e5\u8bc6\uff0c\u4f5c\u4e3a ASR \u7684\u8865\u5145\u3002<\/section>\n<\/li>\n<\/ul>\n<section><\/section>\n<section>\u6700\u540e\uff0c\u6211\u4eec\u5c06\u5904\u7406\u540e\u7684\u5173\u952e\u5e27\u3001OCR \u6587\u672c\u548c ASR \u8f6c\u5f55\u6309\u65f6\u95f4\u987a\u5e8f\u6392\u5e03\uff0c\u4ea4\u9519\u7ec4\u7ec7\u6210\u591a\u6a21\u6001\u6559\u79d1\u4e66\u3002<\/section>\n<section><\/section>\n<section><strong>3. \u6570\u636e\u96c6\u7edf\u8ba1\u548c\u5206\u6790<\/strong><\/section>\n<section><\/section>\n<ul>\n<li>\n<section>\u6559\u5b66\u89c6\u9891\u548c\u77e5\u8bc6\u70b9\u7edf\u8ba1<\/section>\n<\/li>\n<\/ul>\n<section><\/section>\n<section>\u6211\u4eec\u6536\u96c6\u4e86 15.9 \u4e07\u4e2a\u6559\u5b66\u89c6\u9891\uff0c\u7ecf\u8fc7\u5143\u6570\u636e\u5ba1\u67e5\uff0c\u53bb\u91cd\u548c ASR \u8fc7\u6ee4\u540e\u4fdd\u7559\u4e86 7.5 \u4e07\u4e2a\u957f\u89c6\u9891\uff0c\u89c6\u9891\u603b\u65f6\u957f\u8d85\u8fc7 22000 \u5c0f\u65f6 (2.5 \u5e74)\u3002\u8fd9\u4e9b\u6559\u5b66\u89c6\u9891\u56ca\u62ec\u6570\u5b66\uff0c\u7269\u7406\uff0c\u5316\u5b66\uff0c\u5730\u79d1\uff0c\u5de5\u7a0b\uff0c\u8ba1\u7b97\u673a\u516d\u5927\u5b66\u79d1\uff0c3915 \u4e2a\u77e5\u8bc6\u70b9\u3002<\/section>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-f7a4164acf551f72bcd54608770109a2.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-f7a4164acf551f72bcd54608770109a2.png\"><\/a><\/section>\n<ul>\n<li>\n<section>Textbook \u7edf\u8ba1<\/section>\n<\/li>\n<\/ul>\n<section><\/section>\n<section>\u7ecf\u8fc7 video-to-textbook pipeline\uff0c\u6211\u4eec\u751f\u6210\u4e86 6.5M \u4e2a\u5173\u952e\u5e27\u3001258M ASR tokens \u548c 500M OCR tokens\u3002\u6211\u4eec\u5c06\u5176\u62fc\u63a5\u6210 610k \u4e2a\u6837\u672c\uff0c\u6bcf\u4e2a\u6837\u672c\u5e73\u5747\u5305\u542b 10.7 \u5f20\u56fe\u7247\uff0c1297 \u4e2a text tokens\u3002\u6211\u4eec\u89c2\u5bdf\u5230\u6837\u672c\u5185\u56fe\u50cf\u4e4b\u95f4\u7684\u76f8\u4f3c\u5ea6\u663e\u8457\u9ad8\u4e8e\u5148\u524d\u7684 interleaved dataset\uff0c\u4f8b\u5982 MMC4 \u548c OBELICS\u3002\u8fd9\u4f53\u73b0\u4e86\u6211\u4eec\u7684 textbook \u8bed\u6599\u4e2d\u56fe\u7247\u4e4b\u95f4\u5173\u7cfb\u66f4\u7d27\u5bc6\uff0c\u77e5\u8bc6\u5bc6\u5ea6\u66f4\u9ad8\u3002<\/section>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-c91a8999a97c99f2d773638aa0f6e41d.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-c91a8999a97c99f2d773638aa0f6e41d.png\"><\/a><\/section>\n<section><strong>4. \u5b9e\u9a8c\u548c\u5206\u6790<\/strong><\/section>\n<section><\/section>\n<section><strong>4.1 \u5b9e\u9a8c\u8bbe\u7f6e<\/strong><\/section>\n<section><\/section>\n<section>\u6211\u4eec\u4f7f\u7528\u4e3b\u6d41\u7684\u591a\u6a21\u6001\u6a21\u578b LLaVA-1.5-7B \u548c Idefics2-8B \u4f5c\u4e3a\u57fa\u5ea7\u6a21\u578b\uff0c\u5bf9\u6bd4 textbook \u6570\u636e\u96c6\u4e0e webpage-centric interleaved datasets (MMC4 \u548c OBELICS) \u7684\u6301\u7eed\u9884\u8bad\u7ec3\u7684\u6548\u679c\u3002<\/section>\n<section><\/section>\n<section><strong>4.2 \u6301\u7eed\u9884\u8bad\u7ec3\u7684\u5b9e\u9a8c\u6548\u679c<\/strong><\/section>\n<section><\/section>\n<section>\u6a21\u578b\u6027\u80fd\u63d0\u5347\u663e\u8457\uff1a\u5728 Textbook-6.5M \u4e0a\u9884\u8bad\u7ec3\u540e\uff0cLLaVA-1.5 \u548c Idefics-8B \u5728\u591a\u4e2a\u57fa\u51c6\u4e0a\u8868\u73b0\u51fa\u663e\u8457\u6539\u8fdb\u3002\u5728 0-shot \u5230 4-shot \u8bbe\u7f6e\u4e0b\uff0c\u5206\u522b\u63d0\u5347\u4e86 +3.2%\u3001+8.3%\u3001+4.0% \u548c +4.6%\u3002\u5373\u4f7f\u5bf9\u4e8e\u50cf Idefics2 \u8fd9\u6837\u7684\u539f\u672c\u652f\u6301\u56fe\u6587\u4ea4\u7ec7\u8f93\u5165\u7684 VLM\uff0c\u8be5 textbook \u4ecd\u5e26\u6765\u4e86\u989d\u5916 +1.4% \u7684\u63d0\u5347\uff0c\u7a81\u51fa\u4e86\u5176\u4e30\u5bcc\u7684\u77e5\u8bc6\u5185\u5bb9\u548c\u9ad8\u6570\u636e\u8d28\u91cf\u3002<\/section>\n<section><\/section>\n<section>\u5728\u77e5\u8bc6\u548c\u63a8\u7406\u57fa\u51c6\u4e0a\u4f18\u52bf\u660e\u663e\uff1a\u5728\u77e5\u8bc6\u5bfc\u5411\u548c\u63a8\u7406\u76f8\u5173\u57fa\u51c6\u4e0a\uff0c\u8be5\u6570\u636e\u96c6\u76f8\u6bd4\u5176\u4ed6\u6570\u636e\u96c6\u6539\u8fdb\u663e\u8457\u3002\u4f8b\u5982\u5728 ScienceQA \u4e0a\uff0c\u4e0e MMC4 \u76f8\u6bd4\uff0c\u96f6\u6837\u672c\u548c\u5c11\u6837\u672c\u8bbe\u7f6e\u4e0b\u5747\u6709\u8d85\u8fc7 20% \u7684\u63d0\u5347\u3002\u5728 MathVista \u7b49\u6570\u5b66\u76f8\u5173\u57fa\u51c6\u4e0a\uff0c\u4e0e OBELICS \u76f8\u6bd4\uff0c\u5e73\u5747\u6539\u8fdb +5.3% \u548c +6.4%\u3002<\/section>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-df0a3f2d1057cca88029eddff08e2bc7.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-df0a3f2d1057cca88029eddff08e2bc7.png\"><\/a><\/section>\n<section><strong>4.3 \u201c\u4f5c\u5f0a\u6d4b\u8bd5\u201d \u68c0\u9a8c\u4e0a\u4e0b\u6587\u611f\u77e5 (in-context awareness) \u80fd\u529b<\/strong><\/section>\n<section><\/section>\n<ul>\n<li>\n<section>\u6211\u4eec\u8bbe\u8ba1\u4e86\u4e00\u4e2a\u4f5c\u5f0a\u6d4b\u8bd5\uff08cheat test) \u6765\u6d4b\u8bd5 VLMs \u662f\u5426\u80fd\u6709\u6548\u611f\u77e5\u56fe\u6587\u4ea4\u7ec7\u7684\u4e0a\u4e0b\u6587\u3002<\/section>\n<\/li>\n<li>\n<section>Cheat-test: \u6211\u4eec\u5c06 few-shot example \u4e2d\u7684\u67d0\u4e2a\u793a\u4f8b\u66ff\u6362\u6210\u6d4b\u8bd5\u6837\u672c\uff0c\u89c2\u5bdf\u6a21\u578b\u662f\u5426\u80fd\u5feb\u901f\u8bc6\u522b prompt \u4e2d\u7684\u5df2\u7ecf\u5305\u542b\u4e86\u6d4b\u8bd5\u6837\u672c\u3002<\/section>\n<\/li>\n<\/ul>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-bc37de654a7e5eea9dfaf64b34fe4c9d.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-bc37de654a7e5eea9dfaf64b34fe4c9d.png\"><\/a><\/section>\n<ul>\n<li>\n<section>Cheat-test \u663e\u793a\u5728 1-shot \u548c 2-shot \u573a\u666f\u4e0b\uff0c\u76f8\u6bd4 MMC4 \u548c OBELICS\uff0ctextbook \u6709\u8fd1 20% \u7684\u663e\u8457\u4f18\u52bf\u3002\u8fd9\u8868\u660e\u6765\u81ea\u89c6\u9891\u7684 textbook \u8bad\u7ec3\u8bed\u6599\u8ba9 VLMs \u80fd\u66f4\u5173\u6ce8\u8f93\u5165\u56fe\u6587\u4ea4\u7ec7\u7684 context\uff0c\u5e76\u4e14\u80fd\u5229\u7528 context \u4e2d\u7684\u7ebf\u7d22\u56de\u7b54\u95ee\u9898\u3002\u4f8b\u5982\u5728 MathVista \u4efb\u52a1\u4e2d\uff0cTextbook \u8bad\u7ec3\u7684\u6a21\u578b\u5728 1-shot \u8bbe\u7f6e\u4e0b\u51c6\u786e\u7387\u8fbe\u5230 94.1%\uff0c\u8fdc\u8d85 MMC4 \u7684 72.6%\u3002\u00a0<\/section>\n<\/li>\n<\/ul>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-bf5df9e31eece215dfa901ec79d6c7d5.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2025\/01\/frc-bf5df9e31eece215dfa901ec79d6c7d5.png\"><\/a><\/section>\n<section><strong>4.4 \u5176\u4ed6\u5b9e\u9a8c<\/strong><\/section>\n<section><\/section>\n<section>\u9664\u4e86\u4e0a\u8ff0\u5b9e\u9a8c\uff0c\u4f5c\u8005\u8fd8\u7814\u7a76\u4e86\u6570\u636e\u96c6\u4e2d\u56fe\u50cf\u987a\u5e8f\u7684\u5f71\u54cd\uff0c\u6307\u4ee4\u5fae\u8c03\u540e\u4e0b\u6e38\u4efb\u52a1\u6027\u80fd\uff0c\u4ee5\u53ca\u4e00\u7cfb\u5217\u7684\u6d88\u878d\u5b9e\u9a8c\u3002\u901a\u8fc7\u8fd9\u4e9b\u5b9e\u9a8c\u8868\u660e\u4e86\u6570\u636e\u96c6\u7684\u9ad8\u8d28\u91cf\u3002\u00a0<\/section>\n<section><\/section>\n<section><strong>\u603b\u7ed3\u548c\u5c55\u671b<\/strong><\/section>\n<section><\/section>\n<section>\u6211\u4eec\u5f15\u5165\u4e86\u4e00\u79cd\u591a\u6a21\u6001\u6559\u79d1\u4e66\u6765\u9884\u8bad\u7ec3\u89c6\u89c9\u8bed\u8a00\u6a21\u578b\uff0c\u4f7f\u5b83\u4eec\u80fd\u591f\u4ee5\u81ea\u7136\u4e14\u56fe\u6587\u4ea4\u7ec7\u7684\u65b9\u5f0f\u5b66\u4e60\u4e13\u4e1a\u77e5\u8bc6\u3002\u901a\u8fc7\u6536\u96c6\u6d77\u91cf\u7684\u5728\u7ebf\u6559\u80b2\u89c6\u9891\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u5173\u952e\u5e27 &#8211; \u81ea\u52a8\u8bed\u97f3\u8bc6\u522b\uff08ASR\uff09\u4ea4\u9519\u6570\u636e\u96c6\uff0c\u8fd9\u672c\u6559\u79d1\u4e66\u63d0\u4f9b\u4e86\u4e00\u4e2a\u66f4\u52a0\u8fde\u8d2f\u4e14\u76f8\u4e92\u5173\u8054\u7684\u5b66\u4e60\u8bed\u5883\uff0c\u8865\u5145\u4e86\u4f20\u7edf\u7684\u56fe\u50cf &#8211; \u6587\u672c\u5bf9\u9f50\u65b9\u6cd5\u3002\u5b9e\u9a8c\u8bc1\u660e\u4e86\u5176\u6709\u6548\u6027\uff0c\u7279\u522b\u662f\u5728 VLMs \u7684\u4e0a\u4e0b\u6587\u611f\u77e5\u548c\u6570\u5b66\u63a8\u7406\u7b49\u65b9\u9762\u3002\u6b64\u5916\uff0c\u8fd9\u4e9b textbook \u8bed\u6599\u4e0d\u4ec5\u4ec5\u53ef\u4ee5\u7528\u6765\u505a\u591a\u6a21\u6001\u7684\u7406\u89e3\uff0c\u672a\u6765\u8fd8\u53ef\u4ee5\u63a2\u7d22\u5229\u7528\u5b83\u4eec\u5b9e\u73b0\u4efb\u610f\u6a21\u6001\u7684\u8fde\u7eed\u751f\u6210\uff0c\u5b9e\u73b0\u66f4\u597d\u7684\u4e16\u754c\u6a21\u578b\u3002<\/section>\n<section><\/section>\n<section><strong>\u4f5c\u8005\u4ecb\u7ecd<\/strong><\/section>\n<section><\/section>\n<section>\u672c\u6587\u4e00\u4f5c\u662f\u5f20\u6587\u797a \uff08\u6d59\u6c5f\u5927\u5b66\u535a\u58eb\u751f\uff09\uff0c\u4ed6\u7684\u7814\u7a76\u57fa\u7840\u662f\u57fa\u4e8e\u5927\u6a21\u578b\u667a\u80fd\u4f53\uff0c\u591a\u6a21\u6001\u6a21\u578b\u7b49\uff0c\u5f00\u53d1\u4e86\u6570\u636e\u5206\u6790\u667a\u80fd\u4f53 Data-Copilot\uff0c\u5728 github \u4e0a\u83b7\u5f97\u8d85\u8fc7 1400 stars\u3002\u5171\u540c\u901a\u8baf\u5305\u62ec\u9c81\u4f1f\u660e \uff08\u6d59\u6c5f\u5927\u5b66\u526f\u6559\u6388\uff09\uff0c\u674e\u6615\uff08\u963f\u91cc\u5df4\u5df4\u8fbe\u6469\u9662\u7b97\u6cd5\u5de5\u7a0b\u5e08\uff09\uff0c\u5176\u4e2d\u674e\u6615\u548c\u5f20\u822a\uff08\u672c\u6587\u4e8c\u4f5c\uff09\u4e3b\u5bfc\u5f00\u53d1\u4e86 VideoLlama \u7cfb\u5217\u89c6\u9891\u7406\u89e3\u6a21\u578b\u3002\u5176\u4ed6\u4f5c\u8005\u5305\u62ec\u6d59\u6c5f\u5927\u5b66\u5e84\u8d8a\u633a\u6559\u6388\uff0c\u8d75\u5fb7\u4e3d\uff08\u963f\u91cc\u5df4\u5df4\u8fbe\u6469\u9662\u57fa\u7840\u667a\u80fd\u4e2d\u5fc3\u4e3b\u7ba1\uff09, \u90b4\u7acb\u4e1c\uff08\u8fbe\u6469\u9662\u8bed\u8a00\u6280\u672f\u5b9e\u9a8c\u5ba4\u4e3b\u7ba1\uff09\uff0c\u6c88\u6c38\u4eae\uff08\u6d59\u5927\u767e\u4eba\u8ba1\u5212\u7814\u7a76\u5458\uff09\uff0c\u5b59\u5609\u7855 (\u8fbe\u6469\u9662\u7b97\u6cd5\u5de5\u7a0b\u5e08)\u3002<\/section>\n<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2025-01-20\" target=\"_blank\">\u7ed9\u5927\u6a21\u578b\u5236\u4f5c\u56fe\u6587\u5e76\u8302\u7684\u6559\u79d1\u4e66: \u4ece2.5\u5e74\u7684\u6559\u5b66\u89c6\u9891\u91cc\u6316\u6398\u591a\u6a21\u6001\u8bed\u6599<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u7ed9\u5927\u6a21\u578b\u5236\u4f5c\u56fe\u6587\u5e76\u8302\u7684 [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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