{"id":10021247,"date":"2026-02-12T13:49:07","date_gmt":"2026-02-12T05:49:07","guid":{"rendered":"https:\/\/itmax.cn\/?p=10021247"},"modified":"2026-02-12T13:49:07","modified_gmt":"2026-02-12T05:49:07","slug":"%e7%a4%be%e5%8c%ba%e6%8e%a8%e8%8d%90%e9%87%8d%e6%8e%92%e6%8a%80%e6%9c%af%ef%bc%9a%e5%8f%8c%e9%98%b6%e6%ae%b5%e6%a1%86%e6%9e%b6%e7%9a%84%e5%ae%9e%e8%b7%b5%e4%b8%8e%e6%bc%94%e8%bf%9b%ef%bd%9c%e5%be%97","status":"publish","type":"post","link":"https:\/\/itmax.cn\/?p=10021247","title":{"rendered":"\u793e\u533a\u63a8\u8350\u91cd\u6392\u6280\u672f\uff1a\u53cc\u9636\u6bb5\u6846\u67b6\u7684\u5b9e\u8df5\u4e0e\u6f14\u8fdb\uff5c\u5f97\u7269\u6280\u672f"},"content":{"rendered":"<h2>\u4e00\u3001\u80cc\u666f<\/h2>\n<h3>\u63a8\u8350\u7cfb\u7edf\u5178\u578bpipeline<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"723\" height=\"148\" referrerpolicy=\"no-referrer\" src=\"https:\/\/segmentfault.com\/img\/bVdnUWI\" alt=\"\" title=\"\"><\/p>\n<p>\u5728\u63a8\u8350\u7cfb\u7edf\u591a\u9636\u6bb5Pipeline\uff08\u53ec\u56de\u2192\u7c97\u6392\u2192\u7cbe\u6392\u2192\u91cd\u6392\uff09\u4e2d\uff0c\u91cd\u6392\u4f5c\u4e3a\u6700\u7ec8\u51b3\u7b56\u73af\u8282\uff0c\u627f\u62c5\u7740\u5c06\u7cbe\u6392\u8f93\u51fa\u7684\u6709\u9650\u5019\u9009\u96c6\uff08\u901a\u5e38\u4e3aTop 100\u2013500\u4e2aItem\uff09\u8f6c\u5316\u4e3a\u6700\u4f18\u5e8f\u5217\u7684\u5173\u952e\u804c\u8d23\u3002 \u6570\u5b66\u5b9a\u4e49\u4e3a\u5728\u7ed9\u5b9a\u5019\u9009\u96c6 \/(C = \/lbrace x_1,x_2,\u2026\u2026,x_n \/rbrace\/)\u4e0e\u76ee\u6807\u5217\u8868\u957f\u5ea6\/(L\/) \uff0c\u91cd\u6392\u7684\u76ee\u6807\u662f\u5bfb\u627e\u4e00\u4e2a\u6392\u5217 \/(\/pi^* \/in P(C,L) \/)\uff0c\u4f7f\u5f97\u5168\u5c40\u6536\u76ca\u51fd\u6570\u6700\u5927\u5316\u3002<\/p>\n<p>\u5728\u63a8\u8350\u7cfb\u7edf\u3001\u641c\u7d22\u6392\u5e8f\u7b49AI\u9886\u57df\uff0cPointwise \u5efa\u6a21\u662f\u7cbe\u6392\u9636\u6bb5\u7684\u6838\u5fc3\u65b9\u6cd5\uff0c\u5373\u5bf9\u6bcf\u4e2a Item \u72ec\u7acb\u6253\u5206\u540e\u6392\u5e8f\uff0cpointwise \u5efa\u6a21\u8303\u5f0f\u9762\u4e34\u6311\u6218\uff1a<\/p>\n<ul>\n<li>\u591a\u6837\u6027\u7ea6\u675f\uff1a\u7cbe\u6392\u6309 item \u72ec\u7acb\u6253\u5206\u6392\u5e8f \u2192 \u9ad8\u5206 item \u5f80\u5f80\u8bed\u4e49\/\u7c7b\u76ee\u9ad8\u5ea6\u540c\u8d28\uff08\u59825\u4e2a\u76f8\u4f3c\u77ed\u89c6\u9891\u8fde\u7eed\u66dd\u5149\uff09\u3002<\/li>\n<li>\u4f4d\u7f6e\u504f\u5dee\uff1a\u7528\u6237\u6ce8\u610f\u529b\u968f\u4f4d\u7f6e\u663e\u8457\u8870\u51cf\uff0c\u4e14\u4e0d\u540citem\u5bf9\u4f4d\u7f6e\u654f\u611f\u5ea6\u4e0d\u540c\u3002<\/li>\n<li>\u4e0a\u4e0b\u6587\u5efa\u6a21\uff1a\u7528\u6237\u51b3\u7b56\u662f\u5e8f\u5217\u884c\u4e3a\uff0c\u800c\u975e\u72ec\u7acb\u4e8b\u4ef6\u3002<\/li>\n<\/ul>\n<h2>\u4e8c\u3001\u91cd\u6392\u67b6\u6784\u6f14\u8fdb\uff1a\u751f\u6210\u5f0f\u6a21\u578b\u5b9e\u8df5<\/h2>\n<p>\u6211\u4eec\u7684\u91cd\u6392\u7cfb\u7edf\u91c7\u7528G-E\u4e24\u9636\u6bb5\u534f\u540c\u6846\u67b6\uff1a<\/p>\n<ul>\n<li>\u751f\u6210\u9636\u6bb5\uff08Generation\uff09\uff1a\u9ad8\u6548\u751f\u6210\u82e5\u5e72\u9ad8\u8d28\u91cf\u5019\u9009\u6392\u5217\u3002<\/li>\n<li>\u8bc4\u4f30\u9636\u6bb5\uff08Evaluation\uff09\uff1a\u5bf9\u5019\u9009\u6392\u5217\u8fdb\u884c\u7cbe\u7ec6\u5316\u6253\u5206\uff0c\u9009\u51fa\u5168\u5c40\u6700\u4f18\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<p>\u4e0d\u8003\u8651\u7b97\u529b\u548c\u8017\u65f6\u7684\u60c5\u51b5\u4e0b\uff0c\u901a\u8fc7\u7a77\u4e3e\u6240\u6709\u6392\u5217\/( P(C,L) \/)\u3002<\/p>\n<p><img decoding=\"async\" width=\"723\" height=\"367\" referrerpolicy=\"no-referrer\" src=\"https:\/\/segmentfault.com\/img\/bVdnUWO\" alt=\"\" title=\"\" loading=\"lazy\"><\/p>\n<p>\u751f\u6210\u9636\u6bb5\u4e3b\u8981\u4f9d\u8d56\u542f\u53d1\u5f0f\u89c4\u5219\u3001\u968f\u673a\u6270\u52a8 + beamSearch\u7b97\u6cd5\u751f\u6210\u5019\u9009list\uff0c\u53cc\u9636\u6bb5\u8303\u5f0f\u5b58\u5728\u663e\u8457\u7684\u75db\u70b9\uff1a<\/p>\n<ul>\n<li>\u8d28\u91cf-\u5ef6\u8fdf-\u591a\u6837\u6027\u7684\u201c\u4e0d\u53ef\u80fd\u4e09\u89d2\u201d\uff1a\u5728\u5b9e\u8df5\u4e2d\uff0c\u589e\u52a0\u751f\u6210\u5019\u9009list\u6570\u4e00\u822c\u53ef\u4ee5\u63d0\u5347\u6700\u7ec8list\u7684\u8d28\u91cf\uff0c\u4f46\u8fb9\u9645\u6536\u76ca\u9012\u51cf\uff1b\u4f18\u5316\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u589e\u52a0\u591a\u76ee\u6807\u3001\u591a\u6837\u6027\u7b49\u7b56\u7565\u90fd\u53d6\u5f97\u4e86\u6d88\u8d39\u6307\u6807\u7684\u63d0\u5347\uff0c\u4f46\u5728\u5019\u9009list\u8fbe\u5230\u767e\u91cf\u7ea7\u65f6\uff0c\u5355\u7eaf\u589e\u52a0\u5019\u9009\u96c6\u5bf9\u6307\u6807\u7684\u63d0\u5347\uff0c\u540c\u65f6\u8fd8\u6709\uff1a<\/li>\n<\/ul>\n<ol>\n<li>\u589e\u52a0beam width\uff0c\u7cfb\u7edf\u8017\u65f6\u589e\u52a0\uff0cDCG@K\u63d0\u5347\u9010\u6e10\u51cf\u5c11\u3002<\/li>\n<li>\u589e\u52a0\u901a\u9053\u6570\uff0c\u901a\u9053\u95f4\u91cd\u53e0\u5ea6\u9010\u6e10\u589e\u52a0\uff0c\u53bb\u91cdlist\u589e\u52a0\u9010\u6e10\u51cf\u5c11\u3002<\/li>\n<\/ol>\n<ul>\n<li>\u9636\u6bb5\u95f4\u76ee\u6807\u4e0d\u4e00\u81f4\uff1a<\/li>\n<\/ul>\n<ol>\n<li>\u5206\u5e03\u504f\u79fb\uff1a\u542f\u53d1\u5f0f\u751f\u6210Beam Search\u8f93\u51fa\u7684Top\u6392\u5217\u4e2d\uff0c20%\u88ab\u8bc4\u4f30\u6a21\u578b\u5426\u5b9a\uff0c\u751f\u6210\u9636\u6bb5\u641c\u7d22\u6548\u7387\u6d6a\u8d39\u3002<\/li>\n<li>\u68af\u5ea6\u65ad\u5c42\uff1aBeam Search\u542bargmax\u64cd\u4f5c\uff0c\u53cc\u9636\u6bb5\u65e0\u6cd5\u7aef\u5230\u7aef\u4f18\u5316\uff1b\u751f\u6210\u6a21\u578b\u65e0\u6cd5\u611f\u77e5\u8bc4\u4f30\u53cd\u9988\uff0c\u4f18\u5316\u65b9\u5411\u504f\u79bb\u5168\u5c40\u6700\u4f18\u3002<\/li>\n<\/ol>\n<h3>\u751f\u6210\u6a21\u578b\u4f18\u5316<\/h3>\n<p>\u751f\u6210\u5206\u4e3a\u542f\u53d1\u5f0f\u65b9\u6cd5\u548c\u751f\u6210\u5f0f\u6a21\u578b\u65b9\u6cd5, \u4e00\u822c\u8ba4\u4e3a\u751f\u6210\u5f0f\u6a21\u578b\u65b9\u6cd5\u8981\u597d\u4e8e\u542f\u53d1\u5f0f\u65b9\u6cd5\u3002\u751f\u6210\u5f0f\u6a21\u578b\u9010\u6e10\u6210\u4e3a\u91cd\u6392\u4e3b\u6d41\u8303\u5f0f\uff0c\u4e3b\u8981\u5206\u4e3a\u4e24\u7c7b\uff1a\u81ea\u56de\u5f52\u751f\u6210\u6a21\u578b\u3001\u975e\u81ea\u56de\u5f52\u751f\u6210\u6a21\u578b\u3002<\/p>\n<ul>\n<li>\u81ea\u56de\u5f52\u751f\u6210\uff1a\u6309\u4f4d\u7f6e\u987a\u5e8f\u9010\u4e2a\u751f\u6210\u7269\u54c1\uff0c\u7b2c t \u4f4d\u7684\u9884\u6d4b\u4f9d\u8d56\u524d t-1 \u4f4d\u5df2\u751f\u6210\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<ol>\n<li>\n<p>\u4f18\u70b9\uff1a<\/p>\n<p>a. \u5e8f\u5217\u4f9d\u8d56\u5efa\u6a21\u5f3a\uff0c\u5929\u7136\u6355\u83b7\u7269\u54c1\u95f4\u7684\u987a\u5e8f\u4f9d\u8d56\u3002<\/p>\n<p>b. \u8bad\u7ec3\u7b80\u5355\u7a33\u5b9a\uff0c\u6bcf\u6b65\u4f7f\u7528\u771f\u5b9e\u524d\u5e8f\u4f5c\u4e3a\u8f93\u5165\uff0c\u6536\u655b\u5feb\u3002<\/p>\n<p>c. \u751f\u6210\u8d28\u91cf\u9ad8\uff0c\u9010\u6b65\u7ec6\u5316\u51b3\u7b56\uff0c\u9002\u5408\u957f\u5e8f\u5217\u7cbe\u7ec6\u4f18\u5316\u3002<\/p>\n<\/li>\n<li>\n<p>\u7f3a\u70b9\uff1a<\/p>\n<p>a. \u63a8\u7406\u5ef6\u8fdf\u9ad8\uff0c\u751f\u6210 L \u4e2a\u7269\u54c1\u9700 L \u6b21\u524d\u5411\u4f20\u64ad\uff0c\u7ebf\u4e0a\u670d\u52a1\u96be\u4ee5\u6ee1\u8db3\u6beb\u79d2\u7ea7\u8981\u6c42\u3002<\/p>\n<p>b. \u5c40\u90e8\u6700\u4f18\u98ce\u9669\uff0c\u65e9\u671f\u9519\u8bef\u51b3\u7b56\u65e0\u6cd5\u56de\u6eaf\u4fee\u6b63\uff0c\u5f71\u54cd\u6574\u4f53\u5e8f\u5217\u8d28\u91cf\u3002<\/p>\n<\/li>\n<\/ol>\n<ul>\n<li>\u975e\u81ea\u56de\u5f52\u751f\u6210\uff1a\u4e00\u6b21\u6027\u9884\u6d4b\u6574\u4e2a\u63a8\u8350\u5e8f\u5217\u7684\u6240\u6709\u4f4d\u7f6e\uff0c\u5404\u4f4d\u7f6e\u9884\u6d4b\u76f8\u4e92\u72ec\u7acb\u3002<\/li>\n<\/ul>\n<ol>\n<li>\n<p>\u4f18\u70b9\uff1a<\/p>\n<p>a. \u63a8\u7406\u901f\u5ea6\u6781\u5feb\uff1a\u751f\u6210\u6574\u4e2a\u5e8f\u5217\u4ec5\u97001\u6b21\u524d\u5411\u4f20\u64ad\u3002<\/p>\n<\/li>\n<li>\n<p>\u7f3a\u70b9\uff1a<\/p>\n<p>b.\u6761\u4ef6\u72ec\u7acb\u6027\u5047\u8bbe\u8fc7\u5f3a\uff1a\u5404\u4f4d\u7f6e\u5e76\u884c\u9884\u6d4b\uff0c\u96be\u4ee5\u663e\u5f0f\u5efa\u6a21\u7269\u54c1\u95f4\u590d\u6742\u4f9d\u8d56\u5173\u7cfb\u3002<\/p>\n<\/li>\n<\/ol>\n<h4>\u975e\u81ea\u56de\u5f52\u6a21\u578b<\/h4>\n<p>\u4e3a\u4e86\u5bf9\u9f50\u53cc\u9636\u6bb5\u4e00\u81f4\u6027\uff0c\u540c\u65f6\u8003\u8651\u7ebf\u4e0a\u6027\u80fd\uff0c\u6211\u4eec\u63a8\u8fdb\u4e86\u975e\u81ea\u56de\u5f52\u6a21\u578b\u7684\u4e0a\u7ebf\u3002\u6a21\u578b\u7ed3\u6784\u5982\u4e0b\u56fe\uff1a<\/p>\n<p><img decoding=\"async\" width=\"716\" height=\"498\" referrerpolicy=\"no-referrer\" src=\"https:\/\/segmentfault.com\/img\/bVdnUWW\" alt=\"\" title=\"\" loading=\"lazy\"><\/p>\n<p>\u6a21\u578b\u5305\u62ecCandidates Encoder\u548cPosition Encoder\uff0cCandidates Encoder\u662f\u6807\u51c6\u7684Transformer\u7ed3\u6784, \u7528\u4e8e\u83b7\u53d6item\u95f4\u7684\u4ea4\u4e92\u4fe1\u606f\uff1bPosition Encoder\u989d\u5916\u589e\u52a0\u4e86Cross Attention\uff0c\u671f\u671bPosition\u5e8f\u5217\u540c\u65f6\u5173\u6ce8Candidate\u5e8f\u5217\u3002<\/p>\n<ul>\n<li>\u6a21\u578b\u7279\u5f81\uff1a\u7528\u6237\u4fe1\u606f\u3001item\u7279\u5f81\u3001\u4f4d\u7f6e\u4fe1\u606f\u3001\u4e0a\u6e38\u7cbe\u6392\u6253\u5206\u7279\u5f81\u3002<\/li>\n<li>\n<p>\u6a21\u578b\u8f93\u51fa\uff1a\u4e00\u6b21\u6027\u8f93\u51fa n\u00d7L \u7684\u4f4d\u7f6e-\u7269\u54c1\u5f97\u5206\u77e9\u9635\uff08n \u4e3a\u5019\u9009 item \u6570\uff0cL \u4e3a\u76ee\u6807\u5217\u8868\u957f\u5ea6\uff09\uff0c\u652f\u6301\u9ad8\u6548\u5e76\u884c\u63a8\u7406<\/p>\n<p>$$<br \/>\n\/hat{p}_{ij} = \/frac{\/exp(\/mathbf{x}_i^\/top \/mathbf{t}_j)}{\/sum_{i=1}^n \/exp(\/mathbf{x}_i^\/top \/mathbf{t}_j)}<br \/>\n$$<\/p>\n<\/li>\n<li>\u4f4d\u7f6e\u611f\u77e5\u5efa\u6a21\uff1a\u5f15\u5165\u53ef\u5b66\u4e60\u4f4d\u7f6e\u5d4c\u5165\uff0c\u663e\u5f0f\u5efa\u6a21\u201c\u540c\u4e00 item \u5728\u4e0d\u540c\u4f4d\u7f6e\u8868\u73b0\u4e0d\u540c\u201d\u7684\u73b0\u8c61\uff08\u5982\u9996\u5c4f\u6548\u5e94\u3001\u4f4d\u7f6e\u8870\u51cf\uff09\u3002<\/li>\n<li>\u8bad\u7ec3\u76ee\u6807\uff1a\u6a21\u578b\u4f7f\u7528logloss\uff0c\u8ba9\u6b63\u53cd\u9988label\u5e8f\u5217\u7684\u751f\u6210\u6982\u7387\u6700\u5927, \u540c\u65f6\u8d1f\u53cd\u9988label\u5e8f\u5217\u7684\u751f\u6210\u6982\u7387\u6700\u5c0f\uff1a<\/li>\n<\/ul>\n<p>$$<br \/>\n\/mathcal{L}_{\/log} = -\/sum_{i} \/big[ p_{ij}y_i \/log(\/hat{p_{ij}}) + p_{ij}(1-y_i) \/log(1-\/hat{p_{ij}}) \/big]<br \/>\n$$<\/p>\n<p>\u5176\u4e2d\uff0c\/( p_{ij} \/)\u8868\u793a\u4f4d\u7f6ei\u4e0a\u662f\u5426\u5c55\u793a\u7269\u54c1j\uff0c\/(y_{i} \/)\u8868\u793a\u4f4d\u7f6ei\u4e0a\u7684label\u3002<\/p>\n<p><strong>\u7ebf\u4e0a\u5b9e\u9a8c\u53ca\u6536\u76ca\uff1a<\/strong><\/p>\n<ul>\n<li>\u4e00\u671f\u65b0\u589e\u4e86\u975e\u81ea\u56de\u5f52\u751f\u6210\u901a\u9053\uff0cpvctr +0.6%\uff0c\u65f6\u957f+0.55%\u3002<\/li>\n<li>\u4e8c\u671f\u5728\u6240\u6709\u901a\u9053\u6392\u5e8f\u56e0\u5b50\u4e2dbagging\u975e\u81ea\u56de\u5f52\u6a21\u578b\uff0cpvctr +1.0%\uff0c\u65f6\u957f+1.13%\u3002<\/li>\n<\/ul>\n<h4>\u81ea\u56de\u5f52\u6a21\u578b<\/h4>\n<p>\u7531\u4e8e\u6761\u4ef6\u72ec\u7acb\u6027\u5047\u8bbe, \u975e\u81ea\u56de\u5f52\u6a21\u578b\u5bf9\u4e0a\u4e0b\u6587\u4fe1\u606f\u5efa\u6a21\u662f\u4e0d\u591f\u7684\uff0c\u8fd1\u671f\u6211\u4eec\u91cd\u70b9\u63a8\u8fdb\u4e86\u81ea\u56de\u5f52\u6a21\u578b\u7684\u5f00\u53d1\u3002<\/p>\n<p>\u6a21\u578b\u901a\u8fc7Transformer\u67b6\u6784\u5efa\u6a21list\u6574\u4f53\u6536\u76ca\uff0c\u6211\u4eec\u4f7f\u7528\u5355\u5411transformer\u6a21\u62df\u7528\u6237\u6d4f\u89c8\u884c\u4e3a\u7684\u56e0\u679c\u6027\uff0c\u540c\u65f6\u89e3\u51b3\u81ea\u56de\u5f52\u751f\u6210\u7684\u66b4\u9732\u504f\u5dee\u95ee\u9898\uff0c\u4fdd\u6301\u8bad\u7ec3\u548c\u63a8\u7406\u7684\u4e00\u81f4\u6027\u3002\u7ed3\u6784\u5982\u4e0b\uff1a<\/p>\n<p><img decoding=\"async\" width=\"723\" height=\"703\" referrerpolicy=\"no-referrer\" src=\"https:\/\/segmentfault.com\/img\/bVdnUWY\" alt=\"\" title=\"\" loading=\"lazy\"><\/p>\n<ul>\n<li>\u6a21\u578b\u7279\u5f81\uff1a\u7528\u6237\u4fe1\u606f\u3001item\u7279\u5f81\u3001\u4f4d\u7f6e\u4fe1\u606f\u3001\u4e0a\u6e38\u7cbe\u6392\u6253\u5206\u7279\u5f81\u3002<\/li>\n<li>\u8bad\u7ec3\u76ee\u6807\uff1a\u6a21\u578b\u4f7f\u7528\u6709\u5e8f\u56de\u5f52loss\uff0c\u5728\u8bc4\u4f30\u591a\u4e2a\u56de\u5408\u4e2d\u4e0d\u540c\u957f\u5ea6\u7684\u5b50\u5217\u8868\u65f6\uff0c\u80fd\u591f\u5f88\u597d\u5730\u4f53\u73b0\u51fa\u5e8f\u5217\u4e2d\u7684\u589e\u91cf\u4ef7\u503c\u3002\u662f\u7528\u4e8e\u5224\u65ad\u957f\u5ea6\u4e3aj\u7684\u5b50\u5217\u8868\u662f\u5426\u5df2\u7ecf\u8fbe\u5230i\u6b21\u70b9\u51fb\u6216\u8f6c\u5316\u7684\u635f\u5931\u51fd\u6570\u3002<\/li>\n<\/ul>\n<p>$$<br \/>\nL_{i,j}(\/theta_j) = -\/sum_{k=1}^{N} \/left([y_k &lt; i]\/log(1-p_{i,j}(x_k)) + [y_k \/geq i]\/log(p_{i,j}(x_k))\/right)<br \/>\n$$<\/p>\n<p><strong>\u7ebf\u4e0a\u6a21\u578b\u63a8\u7406\u6548\u7387\u4f18\u5316\u53ca\u5b9e\u9a8c\u6548\u679c\uff1a<\/strong><\/p>\n<p>\u81ea\u56de\u5f52\u751f\u6210\u6a21\u578b\u63a8\u7406\u5ef6\u8fdf\u9ad8\uff0c\u751f\u6210 L \u4e2a\u7269\u54c1\u9700 L \u6b21\u524d\u5411\u4f20\u64ad\uff0c\u7ebf\u4e0a\u670d\u52a1\u96be\u4ee5\u6ee1\u8db3\u6beb\u79d2\u7ea7\u8981\u6c42\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u5728\u4f20\u7edf\u81ea\u56de\u5f52\u751f\u6210\u6a21\u578b\u7684\u57fa\u7840\u4e0a\u589e\u52a0MTP\uff08multi token prediction\uff09\u7ed3\u6784\uff0c\u7a81\u7834\u751f\u6210\u5f0f\u91cd\u6392\u6a21\u578b\u63a8\u7406\u74f6\u9888\u3002\u5176\u6838\u5fc3\u601d\u60f3\u662f\u5c06\u4f20\u7edf\u81ea\u56de\u5f52\u7684\u5355\u6b65\u9884\u6d4b\u6269\u5c55\u4e3a\u5355\u6b65\u591atoken\u8054\u5408\u9884\u6d4b\uff0c\u663e\u8457\u51cf\u5c11\u751f\u6210\u8fed\u4ee3\u6b21\u6570\u3002<\/p>\n<p>\u81ea\u56de\u5f52\u751f\u6210\u6a21\u578b\u5728\u793e\u533a\u63a8\u8350\u5df2\u5b8c\u6210\u4e86\u63a8\u5168\uff0c\u5b9e\u9a8c\u4e2d\u6211\u4eec\u65b0\u589e\u4e86\u81ea\u56de\u5f52\u751f\u6210\u6a21\u578b\u901a\u9053\uff0c\u4f46\u4e0d\u662f\u5b8c\u5168\u4f53\uff0c\u4ec5\u90e8\u5206\u4f4d\u7f6e\u751f\u6210\u8c03\u7528\u4e86\u6a21\u578b\uff1a<\/p>\n<ul>\n<li>\u4e00\u671f\u8c03\u7528\u4e24\u6b21\u6a21\u578b\uff0c\u6bcf\u6b21\u9884\u6d4b4\u4e2a\u4f4d\u7f6e\uff0cpvctr +0.69%\uff0c\u6709\u6548vv +0.58%\u3002<\/li>\n<li>\u4e8c\u671f\u8c03\u7528\u4e24\u6b21\u6a21\u578b\uff0c\u6bcf\u6b21\u9884\u6d4b5\u4e2a\u4f4d\u7f6e\uff0cpvctr +0.54%\uff0c\u6709\u6548vv +0.40%\u3002<\/li>\n<\/ul>\n<h2>\u4e09\u3001\u63a8\u7406\u6027\u80fd\u4f18\u5316\uff1a\u7aef\u5230\u7aef\u751f\u6210\u7684\u6548\u7387\u4fdd\u969c<\/h2>\n<h3>\u5de5\u7a0b\u67b6\u6784<\/h3>\n<p>\u4e3a\u89e3\u51b3CPU\u63a8\u7406\u6a21\u578b\u5ef6\u8fdf\u9ad8\u3001\u5236\u7ea6\u4e1a\u52a1\u6548\u679c\u7684\u95ee\u9898\uff0c\u6211\u4eec\u5bf9DScatter\u6a21\u578b\u670d\u52a1\u8fdb\u884c\u5347\u7ea7\uff0c\u5f15\u5165\u9ad8\u6027\u80fdGPU\u63a8\u7406\u80fd\u529b\uff0c\u5177\u4f53\u65b9\u6848\u5982\u4e0b\uff1a<\/p>\n<p><img decoding=\"async\" width=\"723\" height=\"313\" referrerpolicy=\"no-referrer\" src=\"https:\/\/segmentfault.com\/img\/bVdnUXa\" alt=\"\" title=\"\" loading=\"lazy\"><\/p>\n<ul>\n<li><strong>GPU\u63a8\u7406\u6846\u67b6\u96c6\u6210\u4e0e\u5347\u7ea7\uff1a<\/strong><\/li>\n<\/ul>\n<ol>\n<li>\u6846\u67b6\u5347\u7ea7\uff1a\u5c06\u73b0\u6709\u4f9d\u8d56\u7684\u63a8\u7406\u6846\u67b6\u5347\u7ea7\u4e3a\u652f\u6301GPU\u7684\u9ad8\u6027\u80fd\u670d\u52a1\u6846\u67b6\u3002<\/li>\n<li>\u786c\u4ef6\u8d44\u6e90\u5f15\u5165\uff1a\u5f15\u5165 NVIDIA L20 \u7b49\u4e13\u4e1a\u63a8\u7406\u663e\u5361\uff0c\u4e3a\u5f53\u524d\u7684listwise\u8bc4\u4f30\u6a21\u578b\u53ca\u81ea\u56de\u5f52\u751f\u6210\u6a21\u578b\u63d0\u4f9b\u4e13\u7528\u7b97\u529b\uff0c\u5b9e\u73b0\u6a21\u578b\u63a8\u7406\u7684\u786c\u4ef6\u52a0\u901f\u3002<\/li>\n<\/ol>\n<ul>\n<li><strong>DScatter\u6a21\u578b\u670d\u52a1\u72ec\u7acb\u90e8\u7f72\u4e0e\u5bb9\u91cf\u63d0\u5347\uff1a<\/strong><\/li>\n<\/ul>\n<ol>\n<li>\u4e3a\u89e3\u51b3\u6a21\u578b\u90e8\u7f72\u6548\u7387\u4f4e\u4e0e\u8d44\u6e90\u7ade\u4e89\u95ee\u9898\uff0c\u5c06DScatter\u7684\u6a21\u578b\u6253\u5206\u903b\u8f91\u4ece\u73b0\u6709\u91cd\u6392\u670d\u52a1\u4e2d\u5b8c\u5168\u89e3\u8026\uff0c\u6784\u5efa\u5e76\u90e8\u7f72\u72ec\u7acb\u7684 DScatter-Model-Server \u96c6\u7fa4\uff0c\u4ece\u6839\u672c\u4e0a\u6d88\u9664\u4e0e\u91cd\u6392\u670d\u52a1\u5728CPU\u3001\u5185\u5b58\u7b49\u5173\u952e\u8d44\u6e90\u4e0a\u7684\u7ade\u4e89\u3002<\/li>\n<\/ol>\n<h3>\u6a21\u578b\u4f18\u5316<\/h3>\n<ul>\n<li><strong>\u6a21\u578b\u683c\u5f0f\u8f6c\u6362\u4e0e\u52a0\u901f\uff1a<\/strong><\/li>\n<\/ul>\n<p>\u5bfc\u51fa\u4e3a ONNX \u683c\u5f0f\uff0c\u4f7f\u7528 TensorRT \u8fdb\u884c\u91cf\u5316\u3001\u5c42\u878d\u5408\u3001\u52a8\u6001\u5f20\u91cf\u663e\u5b58\u7b49\u6280\u672f\u52a0\u901f\u63a8\u7406\u3002<\/p>\n<ul>\n<li><strong>Item Embedding\u7f13\u5b58\uff1a<\/strong><\/li>\n<\/ul>\n<p>\u9884\u8ba1\u7b97item\u9759\u6001\u7f51\u7edc\uff0c\u7ebf\u4e0a\u76f4\u63a5\u67e5\u8be2\u8282\u7701\u8ba1\u7b97\u91cf\u3002<\/p>\n<ul>\n<li><strong>\u81ea\u56de\u5f52\u751f\u6210\u6a21\u578b\u6838\u5fc3\u4f18\u5316\uff0cKV Cache \u590d\u7528\uff1a<\/strong><\/li>\n<\/ul>\n<p>\u7f13\u5b58\u5df2\u751f\u6210token\u7684KV\u548cattention\u503c\uff0c\u4ec5\u8ba1\u7b97\u589e\u91cftoken\u76f8\u5173\u503c\uff0c\u907f\u514d\u91cd\u590d\u8ba1\u7b97\u3002<\/p>\n<ul>\n<li><strong>\u5176\u4ed6LLM\u63a8\u7406\u52a0\u901f\u6280\u672f\u5e94\u7528\u843d\u5730\uff0c\u4f8b\u5982GQA<\/strong><\/li>\n<\/ul>\n<h2>\u56db\u3001\u672a\u6765\u89c4\u5212\uff1a\u8fc8\u5411\u7aef\u5230\u7aef\u5e8f\u5217\u751f\u6210\u7684\u4e0b\u4e00\u4ee3\u91cd\u6392\u67b6\u6784<\/h2>\n<p>\u5f53\u524d\u201c\u751f\u6210-\u8bc4\u4f30\u201d\u53cc\u9636\u6bb5\u8303\u5f0f\u867d\u5728\u5de5\u7a0b\u843d\u5730\u6027\u4e0a\u53d6\u5f97\u5e73\u8861\uff0c\u4f46\u5176\u672c\u8d28\u4ecd\u662f\u5c40\u90e8\u4f18\u5316\uff1a\u751f\u6210\u9636\u6bb5\u4f9d\u8d56\u542f\u53d1\u5f0f\u89c4\u5219\u6216\u6d45\u5c42\u6a21\u578b\u751f\u6210\u5019\u9009\uff0c\u8bc4\u4f30\u9636\u6bb5\u867d\u80fd\u8bc6\u522b\u4f18\u8d28\u5e8f\u5217\uff0c\u5374\u65e0\u6cd5\u53cd\u5411\u6307\u5bfc\u751f\u6210\u8fc7\u7a0b\uff0c\u5bfc\u81f4\u7cfb\u7edf\u80fd\u529b\u5b58\u5728\u7406\u8bba\u4e0a\u9650\u3002\u4e3a\u7a81\u7834\u8fd9\u4e00\u74f6\u9888\uff0c\u6211\u4eec\u89c4\u5212\u6784\u5efa\u7aef\u5230\u7aef\u5e8f\u5217\u751f\u6210\uff08End-to-End Sequence Generation\uff09 \u67b6\u6784\uff0c\u5c06\u91cd\u6392\u4ece\u201c\u5019\u9009\u7b5b\u9009\u201d\u5347\u7ea7\u4e3a\u201c\u5e8f\u5217\u521b\u9020\u201d\uff0c\u76f4\u63a5\u4ee5\u5168\u5c40\u4e1a\u52a1\u76ee\u6807\uff08\u5982\u7528\u6237\u505c\u7559\u65f6\u957f\u3001\u4e92\u52a8\u6df1\u5ea6\u3001\u5185\u5bb9\u751f\u6001\u5065\u5eb7\u5ea6\uff09\u4e3a\u4f18\u5316\u76ee\u6807\u3002<\/p>\n<p><strong>\u6838\u5fc3\u67b6\u6784\u8bbe\u8ba1\uff1a<\/strong><\/p>\n<ul>\n<li>\u7edf\u4e00\u751f\u6210\u5668\uff1a\u4ee5 Transformer \u4e3a\u57fa\u7840\u67b6\u6784\uff0c\u642d\u5efa\u81ea\u56de\u5f52\u5e8f\u5217\u5efa\u6a21\u80fd\u529b\uff0c\u91c7\u7528\u5206\u5c42\u6df7\u5408\u751f\u6210\u7b56\u7565\uff1a<\/li>\n<\/ul>\n<ol>\n<li>\u7c97\u7c92\u5ea6\u5e76\u884c\u751f\u6210\uff1a\u9996\u5c42\u9884\u6d4b\u5e8f\u5217\u9aa8\u67b6\uff08\u5982\u7c7b\u76ee\u5206\u5e03\u3001\u5185\u5bb9\u5bc6\u5ea6\uff09\u7b49\u3002<\/li>\n<li>\u7ec6\u7c92\u5ea6\u81ea\u56de\u5f52\u7cbe\u8c03\uff1a\u5728\u9aa8\u67b6\u7ea6\u675f\u4e0b\uff0c\u81ea\u56de\u5f52\u751f\u6210\u5177\u4f53 item\uff0c\u786e\u4fdd\u5c40\u90e8\u6700\u4f18\u3002<\/li>\n<\/ol>\n<ul>\n<li>\u5e8f\u5217\u7ea7Reward Modeling\uff1a<\/li>\n<\/ul>\n<ol>\n<li>\u6784\u5efa\u591a\u76ee\u6807 reward \u51fd\u6570\uff1axtr\u3001\u591a\u6837\u6027\u3002<\/li>\n<li>Engagement\uff1a\u57fa\u4e8e\u7528\u6237\u6ed1\u52a8\u8f68\u8ff9\u5efa\u6a21\u5e8f\u5217\u7d2f\u79ef\u6536\u76ca\uff08\u5982\u6ed1\u52a8\u6df1\u5ea6\u52a0\u6743CTR\uff09\u3002<\/li>\n<li>Diversity\uff1a\u8de8\u7c7b\u76ee\/\u521b\u4f5c\u8005\/\u5185\u5bb9\u5f62\u5f0f\u7684\u5206\u5e03\u71b5\u3002<\/li>\n<li>Fairness\uff1a\u51b7\u542f\u5185\u5bb9\u3001\u957f\u5c3e\u521b\u4f5c\u8005\u66dd\u5149\u4fdd\u969c\u3002<\/li>\n<\/ol>\n<h3>\u8bad\u7ec3\u8303\u5f0f\u5347\u7ea7\uff1a\u5f3a\u5316\u5b66\u4e60\u4e0e\u5bf9\u6bd4\u5b66\u4e60\u878d\u5408<\/h3>\n<p>\u63a8\u8fdb\u81ea\u56de\u5f52\u751f\u6210\u6a21\u578b\u7684\u67b6\u6784\u5347\u7ea7\u4e0e\u8bad\u7ec3\u4f53\u7cfb\u91cd\u6784\uff0c\u5f15\u5165\u5f3a\u5316\u5b66\u4e60\u5fae\u8c03\uff08PPO\/DPO\uff09\u4e0e\u5bf9\u6bd4\u5b66\u4e60\u673a\u5236\uff0c\u63d0\u5347\u5e8f\u5217\u6574\u4f53\u6548\u7387\u3002<\/p>\n<ul>\n<li><strong>\u642d\u5efa\u8fd1\u7ebf\u7cfb\u7edf\uff0c\u751f\u6210\u9ad8\u8d28\u91cflist\u5019\u9009\uff0c\u63d0\u5347\u7cfb\u7edf\u80fd\u529b\u4e0a\u9650\uff1a<\/strong><\/li>\n<\/ul>\n<p>1.\u57fa\u4e8e DCG \u7684\u5217\u8868\u8d28\u91cf\u6253\u5206\uff1a<\/p>\n<p>a. \u5bf9\u6bcf\u4e2a\u66dd\u5149\u5217\u8868L\uff0c\u8ba1\u7b97\u5176 DCG@K\u4f5c\u4e3a\u8d28\u91cf\u5206\u6570\uff1a<\/p>\n<p>$$<br \/>\n\/text{DCG}(L) = \/sum_{j=1}^{K} \/frac{\/text{gain}(item_j)}{\/log_2(j + 1)}<br \/>\n$$<\/p>\n<p>\u5176\u4e2d gain(item)\u53ef\u5b9a\u4e49\u4e3a\uff1a<\/p>\n<p>\u82e5\u70b9\u51fb\uff1a+1.0<\/p>\n<p>\u82e5\u4e92\u52a8\uff08\u70b9\u8d5e\/\u6536\u85cf\uff09\uff1a+1.5<\/p>\n<p>\u82e5\u89c2\u770b &gt;5s\uff1a+0.8<\/p>\n<p>\u5426\u5219\uff1a0<\/p>\n<p>2.\u6784\u9020\u504f\u597d\u5bf9\uff1a<\/p>\n<p>a.\u5bf9\u540c\u4e00\u7528\u6237\u5728\u540c\u4e00\u4e0a\u4e0b\u6587\u4e0b\u7684\u4e24\u4e2a\u5217\u8868\/(L_w \/)\uff08win\uff09\u548c\/(L_l\/)\uff08lose\uff09\u3002<\/p>\n<p>b.\u82e5 \/( DCG(L_w) &gt; DCG(L_l) + \/delta \/)\uff08\u03b4 \u4e3a margin\uff0c\u5982 0.1\uff09\uff0c\u5219\u6784\u6210\u4e00\u4e2a\u6709\u6548\u504f\u597d\u5bf9\u3002<\/p>\n<ul>\n<li><strong>\u5f15\u5165\u5f3a\u5316\u5b66\u4e60\u5fae\u8c03\uff08PPO\/DPO\uff09\u4e0e\u5bf9\u6bd4\u5b66\u4e60\u673a\u5236\uff0c\u63d0\u5347\u5e8f\u5217\u6574\u4f53\u6548\u7387\uff1a<\/strong><\/li>\n<\/ul>\n<p>1.\u6a21\u578b\u7ed3\u6784\uff1a<\/p>\n<p>a.\u4f7f\u7528\u5f53\u524d\u81ea\u56de\u5f52\u751f\u6210\u6a21\u578b\u4f5c\u4e3a\u7b56\u7565\u6a21\u578b\u3002<\/p>\n<p>b.\u56fa\u5b9a\u9884\u8bad\u7ec3\u6a21\u578b\u4f5c\u4e3a\u53c2\u8003\u7b56\u7565 \uff08\u5373 DPO \u4e2d\u7684\u201c\u65e7\u7b56\u7565\u201d\uff09\u3002<\/p>\n<p>2.DPO\u635f\u5931\uff1a<\/p>\n<p>$$<br \/>\n\/mathcal{L}_{\/text{DPO}}(\/theta) = -\/mathbb{E}_{(x, y_w, y_l) \/sim \/mathcal{D}} \/left[<\/p>\n<p>\/log \/sigma \/left(<\/p>\n<p>\/beta \/left(<\/p>\n<p>\/log \/frac{\/pi_\/theta(y_w \/mid x)}{\/pi_{\/text{ref}}(y_w \/mid x)}<\/p>\n<p>&#8211; \/log \/frac{\/pi_\/theta(y_l \/mid x)}{\/pi_{\/text{ref}}(y_l \/mid x)}<\/p>\n<p>\/right)<\/p>\n<p>\/right)<\/p>\n<p>\/right]<br \/>\n$$<\/p>\n<ul>\n<li><strong>\u6280\u672f\u4ef7\u503c\uff1a<\/strong><\/li>\n<\/ul>\n<ol>\n<li>\u7a81\u7834\u201c\u8d28\u91cf-\u5ef6\u8fdf-\u591a\u6837\u6027\u201d\u4e0d\u53ef\u80fd\u4e09\u89d2\uff1a\u901a\u8fc7\u5e8f\u5217\u7ea7\u4f18\u5316\uff0c\u5728\u540c\u7b49\u5ef6\u8fdf\u4e0b\u5b9e\u73b0\u8d28\u91cf\u4e0e\u591a\u6837\u6027\u53cc\u63d0\u5347\u3002<\/li>\n<li>\u4e3aAIGC\u4e0e\u63a8\u8350\u878d\u5408\u94fa\u8def\uff1a\u7aef\u5230\u7aef\u751f\u6210\u5668\u53ef\u65e0\u7f1d\u63a5\u5165AIGC\u5185\u5bb9\uff0c\u5b9e\u73b0\u201c\u5185\u5bb9\u751f\u6210-\u5e8f\u5217\u7f16\u6392\u201d\u4e00\u4f53\u5316\u3002<\/li>\n<\/ol>\n<p><strong>\u53c2\u8003\u6587\u732e\uff1a<\/strong><\/p>\n<ol>\n<li>Gloeckle F, Idrissi B Y, Rozi\u00e8re B, et al. Better &#038; faster large language models via multi-token prediction[J]. arXiv preprint arXiv:2404.19737, 2024.<\/li>\n<li>Ren Y, Yang Q, Wu Y, et al. Non-autoregressive generative models for reranking recommendation[C]\/\/Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2024: 5625-5634.<\/li>\n<li>Meng Y, Guo C, Cao Y, et al. A generative re-ranking model for list-level multi-objective optimization at taobao[C]\/\/Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2025: 4213-4218.<\/li>\n<li>Zhao X, Xia L, Zhang L, et al. Deep reinforcement learning for page-wise recommendations[C]\/\/Proceedings of the 12th ACM conference on recommender systems. 2018: 95-103.<\/li>\n<li>Feng Y, Hu B, Gong Y, et al. GRN: Generative Rerank Network for Context-wise Recommendation[J]. arXiv preprint arXiv:2104.00860, 2021.<\/li>\n<li>Pang L, Xu J, Ai Q, et al. Setrank: Learning a permutation-invariant ranking model for information retrieval[C]\/\/Proceedings of the 43rd international ACM SIGIR conference on research and development in information retrieval. 2020: 499-508.<\/li>\n<\/ol>\n<h2>\u5f80\u671f\u56de\u987e<\/h2>\n<p>1.Flink ClickHouse Sink\uff1a\u751f\u4ea7\u7ea7\u9ad8\u53ef\u7528\u5199\u5165\u65b9\u6848\uff5c\u5f97\u7269\u6280\u672f<\/p>\n<p>2.\u670d\u52a1\u62c6\u5206\u4e4b\u65c5\uff1a\u6d4b\u8bd5\u8fc7\u7a0b\u5168\u63ed\u79d8\uff5c\u5f97\u7269\u6280\u672f<\/p>\n<p>3.\u5927\u6a21\u578b\u7f51\u5173\uff1a\u5927\u6a21\u578b\u65f6\u4ee3\u7684\u667a\u80fd\u4ea4\u901a\u67a2\u7ebd\uff5c\u5f97\u7269\u6280\u672f<\/p>\n<p>4.\u4ece\u201c\u4eba\u6cbb\u201d\u5230\u201c\u673a\u6cbb\u201d\uff1a\u5f97\u7269\u79bb\u7ebf\u6570\u4ed3\u53d1\u5e03\u6d41\u6c34\u7ebf\u8d28\u91cf\u95e8\u7981\u5b9e\u8df5<\/p>\n<p>5.AI\u7f16\u7a0b\u5b9e\u8df5\uff1a\u4eceClaude Code\u5b9e\u8df5\u5230\u56e2\u961f\u534f\u4f5c\u7684\u4f18\u5316\u601d\u8003\uff5c\u5f97\u7269\u6280\u672f<\/p>\n<h2>\u6587 \/\u5f20\u5353<\/h2>\n<p>\u5173\u6ce8\u5f97\u7269\u6280\u672f\uff0c\u6bcf\u5468\u4e00\u3001\u4e09\u66f4\u65b0\u6280\u672f\u5e72\u8d27<\/p>\n<p>\u8981\u662f\u89c9\u5f97\u6587\u7ae0\u5bf9\u4f60\u6709\u5e2e\u52a9\u7684\u8bdd\uff0c\u6b22\u8fce\u8bc4\u8bba\u8f6c\u53d1\u70b9\u8d5e\uff5e<\/p>\n<p>\u672a\u7ecf\u5f97\u7269\u6280\u672f\u8bb8\u53ef\u4e25\u7981\u8f6c\u8f7d\uff0c\u5426\u5219\u4f9d\u6cd5\u8ffd\u7a76\u6cd5\u5f8b\u8d23\u4efb\u3002<\/p>\n<p><a href=\"https:\/\/segmentfault.com\/a\/1190000047607409\">https:\/\/segmentfault.com\/a\/1190000047607409<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4e00\u3001\u80cc\u666f \u63a8\u8350\u7cfb\u7edf\u5178\u578bpipeline \u5728\u63a8\u8350\u7cfb\u7edf\u591a\u9636\u6bb5Pipeline\uff08\u53ec\u56de\u2192\u7c97\u6392\u2192\u7cbe\u6392\u2192\u91cd\u6392\uff09\u4e2d\uff0c\u91cd\u6392\u4f5c\u4e3a [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[4],"tags":[],"class_list":["post-10021247","post","type-post","status-publish","format-standard","hentry","category-share"],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/itmax.cn\/index.php?rest_route=\/wp\/v2\/posts\/10021247","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/itmax.cn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/itmax.cn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/itmax.cn\/index.php?rest_route=\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/itmax.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=10021247"}],"version-history":[{"count":0,"href":"https:\/\/itmax.cn\/index.php?rest_route=\/wp\/v2\/posts\/10021247\/revisions"}],"wp:attachment":[{"href":"https:\/\/itmax.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10021247"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/itmax.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=10021247"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/itmax.cn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=10021247"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}