{"id":19637,"date":"2025-01-29T11:48:45","date_gmt":"2025-01-29T03:48:45","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=19637"},"modified":"2025-01-29T11:48:45","modified_gmt":"2025-01-29T03:48:45","slug":"llm-zhengliuyichanga","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/llm-zhengliuyichanga\/","title":{"rendered":"LLM \u84b8\u998f\uff1a\u4e00\u573a\u5173\u4e8e\u5927\u6a21\u578b\u72ec\u7acb\u6027\u7684\u201c\u6697\u6218\u201d\uff1f"},"content":{"rendered":"<h3>\u4e00\u3001\u80cc\u666f\u4e0e\u6311\u6218<\/h3>\n<p>\u968f\u7740\u4eba\u5de5\u667a\u80fd\u6280\u672f\u7684\u98de\u901f\u53d1\u5c55\uff0c\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u5df2\u6210\u4e3a\u81ea\u7136\u8bed\u8a00\u5904\u7406\u9886\u57df\u7684\u6838\u5fc3\u9a71\u52a8\u529b\u3002\u7136\u800c\uff0c\u8bad\u7ec3\u8fd9\u4e9b\u6a21\u578b\u9700\u8981\u5de8\u5927\u7684\u8ba1\u7b97\u8d44\u6e90\u548c\u65f6\u95f4\u6210\u672c\uff0c\u8fd9\u4fc3\u4f7f\u4e86 <a href=\"https:\/\/www.kdjingpai.com\/distillation\/\">\u77e5\u8bc6\u84b8\u998f<\/a>\uff08KD\uff09\u6280\u672f\u7684\u5174\u8d77\u3002\u77e5\u8bc6\u84b8\u998f\u901a\u8fc7\u5c06\u5927\u578b\u6a21\u578b\uff08\u6559\u5e08\u6a21\u578b\uff09\u7684\u77e5\u8bc6\u8fc1\u79fb\u5230\u5c0f\u578b\u6a21\u578b\uff08\u5b66\u751f\u6a21\u578b\uff09\uff0c\u5b9e\u73b0\u4e86\u4ee5\u66f4\u4f4e\u7684\u8d44\u6e90\u6d88\u8017\u83b7\u5f97\u63a5\u8fd1\u751a\u81f3\u8d85\u8d8a\u6559\u5e08\u6a21\u578b\u6027\u80fd\u7684\u6548\u679c\u3002<\/p>\n<p><img decoding=\"async\" title=\"LLM \u84b8\u998f\uff1a\u4e00\u573a\u5173\u4e8e\u5927\u6a21\u578b\u72ec\u7acb\u6027\u7684\u201c\u6697\u6218\u201d\uff1f-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/0ba3946357f3f1c.jpg\" alt=\"LLM \u84b8\u998f\uff1a\u4e00\u573a\u5173\u4e8e\u5927\u6a21\u578b\u72ec\u7acb\u6027\u7684\u201c\u6697\u6218\u201d\uff1f-1\" \/><\/p>\n<p>\u6839\u636e <a href=\"https:\/\/github.com\/Aegis1863\/LLMs-Distillation-Quantification\/\">LLMs-Distillation-Quantification\u00a0<\/a>\u9879\u76ee\uff0c\u7ed9\u51fa\u7684\u5b9e\u9a8c\u7ed3\u8bba\u6027\u6587\u7ae0\u300a<a href=\"https:\/\/github.com\/Aegis1863\/LLMs-Distillation-Quantification\/blob\/main\/paper.pdf\">Distillation Quantifcation for Large Language Models<\/a>\u300b\uff0c\u6765\u5206\u6790LLM \u84b8\u998f\u5e26\u6765\u7684\u95ee\u9898\u548c\u6311\u6218\u3002<\/p>\n<p>&nbsp;<\/p>\n<h4><strong>1. LLM \u84b8\u998f\u7684\u4f18\u52bf\uff1a\u673a\u9047\u4e0e\u6311\u6218\u5e76\u5b58<\/strong><\/h4>\n<p><strong>\u4f18\u52bf:<\/strong><\/p>\n<ul>\n<li><strong>\u8d44\u6e90\u9ad8\u6548:<\/strong>\u00a0\u84b8\u998f\u6280\u672f\u4f7f\u5f97\u8d44\u6e90\u6709\u9650\u7684\u5b66\u672f\u673a\u6784\u548c\u53d1\u5c55\u4e2d\u56e2\u961f\u80fd\u591f\u5229\u7528\u5148\u8fdb LLM \u7684\u80fd\u529b\uff0c\u63a8\u52a8 AI \u6280\u672f\u7684\u53d1\u5c55\u3002<\/li>\n<li><strong>\u6027\u80fd\u63d0\u5347:<\/strong>\u00a0\u901a\u8fc7\u77e5\u8bc6\u8fc1\u79fb\uff0c\u5b66\u751f\u6a21\u578b\u53ef\u4ee5\u5728\u67d0\u4e9b\u4efb\u52a1\u4e0a\u8fbe\u5230\u751a\u81f3\u8d85\u8d8a\u6559\u5e08\u6a21\u578b\u7684\u6027\u80fd\u3002<\/li>\n<\/ul>\n<p><strong>\u95ee\u9898:<\/strong><\/p>\n<ul>\n<li><strong>\u201c\u540e\u53d1\u4f18\u52bf\u201d\u7684\u53cc\u5203\u5251:<\/strong>\n<ul>\n<li>\u8fc7\u5ea6\u4f9d\u8d56\u84b8\u998f\u6280\u672f\u4f1a\u5bfc\u81f4\u7814\u7a76\u4eba\u5458\u8fc7\u5ea6\u4f9d\u8d56\u73b0\u6709\u6a21\u578b\u7684\u77e5\u8bc6\uff0c\u963b\u788d\u5bf9\u65b0\u6280\u672f\u7684\u63a2\u7d22\u3002<\/li>\n<li>\u8fd9\u53ef\u80fd\u5bfc\u81f4 AI \u9886\u57df\u7684\u6280\u672f\u53d1\u5c55\u8d8b\u4e8e\u505c\u6ede\uff0c\u9650\u5236\u521b\u65b0\u7a7a\u95f4\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u9c81\u68d2\u6027\u4e0b\u964d:<\/strong>\n<ul>\n<li>\u73b0\u6709\u7814\u7a76\u8868\u660e\uff0c\u84b8\u998f\u8fc7\u7a0b\u4f1a\u964d\u4f4e\u6a21\u578b\u7684\u9c81\u68d2\u6027\uff0c\u4f7f\u5176\u5728\u9762\u5bf9\u590d\u6742\u6216\u65b0\u9896\u7684\u4efb\u52a1\u65f6\u8868\u73b0\u4e0d\u4f73\u3002<\/li>\n<li>\u4f8b\u5982\uff0c\u5b66\u751f\u6a21\u578b\u53ef\u80fd\u66f4\u5bb9\u6613\u53d7\u5230\u5bf9\u6297\u6027\u653b\u51fb\u7684\u5f71\u54cd\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u540c\u8d28\u5316\u98ce\u9669:<\/strong>\n<ul>\n<li>\u8fc7\u5ea6\u4f9d\u8d56\u5c11\u6570\u51e0\u4e2a\u6559\u5e08\u6a21\u578b\u8fdb\u884c\u84b8\u998f\uff0c\u4f1a\u5bfc\u81f4\u4e0d\u540c\u5b66\u751f\u6a21\u578b\u4e4b\u95f4\u7f3a\u4e4f\u591a\u6837\u6027\u3002<\/li>\n<li>\u8fd9\u4e0d\u4ec5\u9650\u5236\u4e86\u6a21\u578b\u7684\u5e94\u7528\u573a\u666f\uff0c\u8fd8\u589e\u52a0\u4e86\u6f5c\u5728\u7684\u7cfb\u7edf\u6027\u98ce\u9669\uff0c\u4f8b\u5982\u6a21\u578b\u96c6\u4f53\u5931\u6548\u7684\u53ef\u80fd\u6027\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4><strong>2. LLM \u84b8\u998f\u91cf\u5316\u9762\u4e34\u7684\u6311\u6218\uff1a\u8ff7\u96fe\u4e2d\u7684\u63a2\u7d22<\/strong><\/h4>\n<p>\u5c3d\u7ba1\u84b8\u998f\u6280\u672f\u5e94\u7528\u5e7f\u6cdb\uff0c\u4f46\u5176\u91cf\u5316\u8bc4\u4f30\u5374\u9762\u4e34\u8bf8\u591a\u6311\u6218\uff1a<\/p>\n<ul>\n<li><strong>\u8fc7\u7a0b\u4e0d\u900f\u660e:<\/strong>\n<ul>\n<li>\u84b8\u998f\u8fc7\u7a0b\u901a\u5e38\u88ab\u89c6\u4e3a\u5546\u4e1a\u673a\u5bc6\uff0c\u7f3a\u4e4f\u900f\u660e\u5ea6\uff0c\u96be\u4ee5\u76f4\u63a5\u6bd4\u8f83\u5b66\u751f\u6a21\u578b\u4e0e\u539f\u59cb\u6a21\u578b\u4e4b\u95f4\u7684\u5dee\u5f02\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u7f3a\u4e4f\u57fa\u51c6\u6570\u636e:<\/strong>\n<ul>\n<li>\u76ee\u524d\u7f3a\u4e4f\u4e13\u95e8\u7528\u4e8e\u8bc4\u4f30 LLM \u84b8\u998f\u7a0b\u5ea6\u7684\u57fa\u51c6\u6570\u636e\u96c6\u3002<\/li>\n<li>\u7814\u7a76\u4eba\u5458\u53ea\u80fd\u4f9d\u8d56\u95f4\u63a5\u65b9\u6cd5\uff0c\u4f8b\u5982\u6bd4\u8f83\u5b66\u751f\u6a21\u578b\u4e0e\u539f\u59cb\u6a21\u578b\u7684\u8f93\u51fa\uff0c\u4f46\u8fd9\u5e76\u4e0d\u80fd\u5168\u9762\u53cd\u6620\u84b8\u998f\u7684\u5f71\u54cd\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u8868\u793a\u5197\u4f59\u6216\u62bd\u8c61:<\/strong>\n<ul>\n<li>LLM \u7684\u5185\u90e8\u8868\u793a\u5305\u542b\u5927\u91cf\u5197\u4f59\u6216\u62bd\u8c61\u4fe1\u606f\uff0c\u4f7f\u5f97\u84b8\u998f\u77e5\u8bc6\u96be\u4ee5\u76f4\u63a5\u8f6c\u5316\u4e3a\u53ef\u89e3\u91ca\u7684\u8f93\u51fa\u3002<\/li>\n<li>\u8fd9\u589e\u52a0\u4e86\u91cf\u5316\u84b8\u998f\u7a0b\u5ea6\u7684\u96be\u5ea6\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u7f3a\u4e4f\u660e\u786e\u5b9a\u4e49:<\/strong>\n<ul>\n<li>\u5b66\u672f\u754c\u5bf9\u201c\u84b8\u998f\u201d\u7684\u5b9a\u4e49\u5c1a\u672a\u8fbe\u6210\u5171\u8bc6\uff0c\u7f3a\u4e4f\u7edf\u4e00\u7684\u6807\u51c6\u6765\u8861\u91cf\u84b8\u998f\u7a0b\u5ea6\u3002<\/li>\n<li>\u8fd9\u5bfc\u81f4\u4e0d\u540c\u7814\u7a76\u4e4b\u95f4\u7684\u7ed3\u679c\u96be\u4ee5\u6bd4\u8f83\uff0c\u963b\u788d\u4e86\u9886\u57df\u7684\u53d1\u5c55\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>\u4e8c\u3001\u65b9\u6cd5\uff1a\u4e24\u79cd\u91cf\u5316 LLM \u84b8\u998f\u7684\u521b\u65b0\u6307\u6807<\/h3>\n<p>\u4e3a\u4e86\u5e94\u5bf9\u4e0a\u8ff0\u6311\u6218\uff0c\u672c\u9879\u76ee\u63d0\u51fa\u4e86\u4e24\u79cd\u4e92\u8865\u7684\u91cf\u5316\u6307\u6807\uff0c\u4ece\u4e0d\u540c\u89d2\u5ea6\u8bc4\u4f30 LLM \u7684\u84b8\u998f\u7a0b\u5ea6\uff1a<\/p>\n<h4><strong>1. \u54cd\u5e94\u76f8\u4f3c\u6027\u8bc4\u4f30 (RSE)<\/strong><\/h4>\n<p><strong>\u76ee\u6807:<\/strong>\u00a0\u901a\u8fc7\u6bd4\u8f83\u5b66\u751f\u6a21\u578b\u548c\u53c2\u8003\u6a21\u578b\uff08\u6559\u5e08\u6a21\u578b\uff09\u7684\u8f93\u51fa\uff0c\u8bc4\u4f30\u4e24\u8005\u4e4b\u95f4\u7684\u76f8\u4f3c\u6027\uff0c\u4ece\u800c\u91cf\u5316\u84b8\u998f\u7a0b\u5ea6\u3002<\/p>\n<p><strong>\u65b9\u6cd5:<\/strong><\/p>\n<ul>\n<li><strong>\u9009\u62e9\u53c2\u8003\u6a21\u578b:<\/strong>\u00a0\u672c\u6587\u9009\u62e9\u4e86 GPT-4 \u4f5c\u4e3a\u53c2\u8003\u6a21\u578b\uff0c\u5e76\u9009\u62e9\u4e86 12 \u4e2a\u5b66\u751f\u6a21\u578b\u8fdb\u884c\u8bc4\u4f30\uff0c\u5305\u62ec Claude\u3001Doubao\u3001Gemini \u7b49\u3002<\/li>\n<li><strong>\u6784\u5efa\u591a\u6837\u5316\u7684\u63d0\u793a\u96c6:<\/strong>\n<ul>\n<li>\u9009\u62e9\u4e86 ArenaHard\u3001Numina \u548c ShareGPT \u4e09\u4e2a\u63d0\u793a\u96c6\uff0c\u5206\u522b\u7528\u4e8e\u8bc4\u4f30\u6a21\u578b\u5728\u4e00\u822c\u63a8\u7406\u3001\u6570\u5b66\u548c\u6307\u4ee4\u9075\u5faa\u9886\u57df\u7684\u54cd\u5e94\u76f8\u4f3c\u6027\u3002<\/li>\n<li>\u8fd9\u4e9b\u63d0\u793a\u96c6\u6db5\u76d6\u4e86\u4e0d\u540c\u7684\u4efb\u52a1\u7c7b\u578b\u548c\u96be\u5ea6\uff0c\u4ee5\u786e\u4fdd\u8bc4\u4f30\u7684\u5168\u9762\u6027\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u591a\u7ef4\u5ea6\u8bc4\u5206:<\/strong>\n<ul>\n<li>\u4ece\u4ee5\u4e0b\u4e09\u4e2a\u65b9\u9762\u8bc4\u4f30\u5b66\u751f\u6a21\u578b\u548c\u53c2\u8003\u6a21\u578b\u54cd\u5e94\u7684\u76f8\u4f3c\u6027\uff1a\n<ul>\n<li><strong>\u54cd\u5e94\u98ce\u683c:<\/strong>\u00a0\u8bed\u6c14\u3001\u8bcd\u6c47\u548c\u6807\u70b9\u7b26\u53f7\u7684\u76f8\u4f3c\u7a0b\u5ea6\u3002<\/li>\n<li><strong>\u903b\u8f91\u7ed3\u6784:<\/strong>\u00a0\u601d\u8def\u7684\u987a\u5e8f\u548c\u63a8\u7406\u65b9\u5f0f\u7684\u76f8\u4f3c\u7a0b\u5ea6\u3002<\/li>\n<li><strong>\u5185\u5bb9\u7ec6\u8282:<\/strong>\u00a0\u6db5\u76d6\u7684\u77e5\u8bc6\u70b9\u548c\u793a\u4f8b\u7684\u8be6\u7ec6\u7a0b\u5ea6\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u4f7f\u7528 LLM \u4f5c\u4e3a\u8bc4\u5224\u8005\u5bf9\u6bcf\u4e2a\u5b66\u751f\u6a21\u578b\u8fdb\u884c\u8bc4\u5206\uff0c\u8bc4\u5206\u8303\u56f4\u4e3a 1-5 \u5206\uff0c1 \u5206\u4ee3\u8868\u975e\u5e38\u4e0d\u76f8\u4f3c\uff0c5 \u5206\u4ee3\u8868\u975e\u5e38\u76f8\u4f3c\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><img decoding=\"async\" title=\"LLM \u84b8\u998f\uff1a\u4e00\u573a\u5173\u4e8e\u5927\u6a21\u578b\u72ec\u7acb\u6027\u7684\u201c\u6697\u6218\u201d\uff1f-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/893b0f28707c868.jpg\" alt=\"LLM \u84b8\u998f\uff1a\u4e00\u573a\u5173\u4e8e\u5927\u6a21\u578b\u72ec\u7acb\u6027\u7684\u201c\u6697\u6218\u201d\uff1f-1\" \/><\/p>\n<p><strong>\u56fe 1: RSE \u8bc4\u5206\u6807\u51c6\u3002<\/strong>\u00a0\u8be5\u56fe\u5c55\u793a\u4e86 RSE \u4e2d\u4f7f\u7528\u7684\u4e94\u4e2a\u8bc4\u5206\u7b49\u7ea7\uff0c\u4ece 1 \u5206\uff08\u975e\u5e38\u4e0d\u76f8\u4f3c\uff09\u5230 5 \u5206\uff08\u975e\u5e38\u76f8\u4f3c\uff09\u3002<\/p>\n<h4><strong>2. \u8eab\u4efd\u4e00\u81f4\u6027\u8bc4\u4f30 (ICE)<\/strong><\/h4>\n<p><strong>\u76ee\u6807:<\/strong>\u00a0\u901a\u8fc7\u8bc4\u4f30\u5b66\u751f\u6a21\u578b\u5bf9\u81ea\u8eab\u8eab\u4efd\u7684\u8ba4\u77e5\u4e00\u81f4\u6027\uff0c\u63ed\u793a\u5176\u8bad\u7ec3\u6570\u636e\u4e2d\u53ef\u80fd\u5b58\u5728\u7684\u8eab\u4efd\u4fe1\u606f\u6cc4\u9732\u95ee\u9898\u3002<\/p>\n<p><strong>\u65b9\u6cd5:<\/strong><\/p>\n<ul>\n<li><strong>\u5b9a\u4e49\u8eab\u4efd\u4e8b\u5b9e\u96c6 (F):<\/strong>\n<ul>\n<li>\u6536\u96c6\u5173\u4e8e\u6e90 LLM\uff08\u5982 GPT-4\uff09\u7684\u8eab\u4efd\u4fe1\u606f\uff0c\u5e76\u5c06\u5176\u8868\u793a\u4e3a\u4e8b\u5b9e\u96c6 F\uff0c\u6bcf\u4e2a\u4e8b\u5b9e f_i \u660e\u786e\u9648\u8ff0\u4e86 LLM \u7684\u8eab\u4efd\u76f8\u5173\u4fe1\u606f\uff0c\u4f8b\u5982\u201c\u6211\u662f\u7531 OpenAI \u5f00\u53d1\u7684 AI \u52a9\u624b\u201d\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u6784\u5efa\u8eab\u4efd\u63d0\u793a\u96c6 (P_id):<\/strong>\n<ul>\n<li>\u4f7f\u7528\u4e0e\u8eab\u4efd\u76f8\u5173\u7684\u63d0\u793a\u6765\u67e5\u8be2\u5b66\u751f\u6a21\u578b\uff0c\u4ee5\u83b7\u53d6\u5176\u8eab\u4efd\u4fe1\u606f\uff0c\u4f8b\u5982\u201c\u4f60\u7684\u5f00\u53d1\u56e2\u961f\u662f\u54ea\u4e2a\uff1f\u201d\u3001\u201c\u4f60\u7684\u5f00\u53d1\u516c\u53f8\u53eb\u4ec0\u4e48\u540d\u5b57\uff1f\u201d\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u4f7f\u7528 GPTFuzz \u8fdb\u884c\u8fed\u4ee3\u4f18\u5316:<\/strong>\n<ul>\n<li>\u5229\u7528 GPTFuzz \u6846\u67b6\uff0c\u8fed\u4ee3\u751f\u6210\u66f4\u6709\u6548\u7684\u63d0\u793a\uff0c\u4ee5\u53d1\u73b0\u5b66\u751f\u6a21\u578b\u5728\u8eab\u4efd\u8ba4\u77e5\u65b9\u9762\u7684\u6f0f\u6d1e\u3002<\/li>\n<li>\u5177\u4f53\u6765\u8bf4\uff0c\u4f7f\u7528 LLM \u4f5c\u4e3a\u8bc4\u5224\u8005\u6765\u6bd4\u8f83\u63d0\u793a\u7684\u54cd\u5e94\u4e0e\u4e8b\u5b9e\u96c6 F\uff0c\u4ee5\u8bc6\u522b\u903b\u8f91\u51b2\u7a81\uff0c\u5e76\u5c06\u5176\u5408\u5e76\u5230\u4e0b\u4e00\u6b21\u8fed\u4ee3\u4e2d\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u8bc4\u5206:<\/strong>\n<ul>\n<li><strong>\u5bbd\u677e\u8bc4\u5206 (Loose Score):<\/strong>\u00a0\u5c06\u4efb\u4f55\u8eab\u4efd\u4e0d\u4e00\u81f4\u7684\u9519\u8bef\u793a\u4f8b\u89c6\u4e3a\u6210\u529f\u7684\u653b\u51fb\u3002<\/li>\n<li><strong>\u4e25\u683c\u8bc4\u5206 (Strict Score):<\/strong>\u00a0\u4ec5\u5c06\u9519\u8bef\u5730\u5c06\u6a21\u578b\u8bc6\u522b\u4e3a <a href=\"https:\/\/www.kdjingpai.com\/pt\/claudeanquanfubai\/\">Claude<\/a> \u6216 GPT \u7684\u793a\u4f8b\u89c6\u4e3a\u6210\u529f\u7684\u653b\u51fb\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><img decoding=\"async\" title=\"LLM \u84b8\u998f\uff1a\u4e00\u573a\u5173\u4e8e\u5927\u6a21\u578b\u72ec\u7acb\u6027\u7684\u201c\u6697\u6218\u201d\uff1f-2\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/c9d048f1b77e86d.jpg\" alt=\"LLM \u84b8\u998f\uff1a\u4e00\u573a\u5173\u4e8e\u5927\u6a21\u578b\u72ec\u7acb\u6027\u7684\u201c\u6697\u6218\u201d\uff1f-2\" \/><\/p>\n<p><strong>\u56fe 2: ICE \u6846\u67b6\u3002<\/strong>\u00a0\u8be5\u56fe\u5c55\u793a\u4e86 ICE \u7684\u84b8\u998f\u91cf\u5316\u6846\u67b6\u3002<\/p>\n<p>&nbsp;<\/p>\n<h3>\u4e09\u3001\u5b9e\u9a8c\u7ed3\u679c\u4e0e\u91cd\u8981\u7ed3\u8bba<\/h3>\n<h4><strong>1. \u8eab\u4efd\u4e00\u81f4\u6027\u8bc4\u4f30 (ICE) \u7ed3\u679c:<\/strong><\/h4>\n<ul>\n<li><strong>\u4e3b\u8981\u53d1\u73b0:<\/strong>\n<ul>\n<li><strong>GLM-4-Plus\u3001QwenMax \u548c DeepSeek-V3<\/strong>\u00a0\u662f\u4e09\u4e2a\u7591\u4f3c\u54cd\u5e94\u6570\u91cf\u6700\u591a\u7684\u5b66\u751f\u6a21\u578b\uff0c\u8868\u660e\u5176\u84b8\u998f\u7a0b\u5ea6\u8f83\u9ad8\uff0c\u8eab\u4efd\u4fe1\u606f\u53ef\u80fd\u6765\u81ea\u591a\u4e2a\u6765\u6e90\u3002<\/li>\n<li><strong>Claude-3.5-Sonnet \u548c Doubao-Pro-32k<\/strong>\u00a0\u51e0\u4e4e\u6ca1\u6709\u7591\u4f3c\u54cd\u5e94\uff0c\u8868\u660e\u5176\u84b8\u998f\u7a0b\u5ea6\u8f83\u4f4e\uff0c\u5bf9\u81ea\u8eab\u8eab\u4efd\u7684\u8ba4\u77e5\u66f4\u52a0\u6e05\u6670\uff0c\u72ec\u7acb\u6027\u66f4\u5f3a\u3002<\/li>\n<li>\u5bbd\u677e\u8bc4\u5206\u5305\u542b\u4e86\u4e00\u4e9b\u8bef\u62a5\u5b9e\u4f8b\uff0c\u800c\u4e25\u683c\u8bc4\u5206\u63d0\u4f9b\u4e86\u66f4\u51c6\u786e\u7684\u8861\u91cf\u6807\u51c6\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><img decoding=\"async\" title=\"LLM \u84b8\u998f\uff1a\u4e00\u573a\u5173\u4e8e\u5927\u6a21\u578b\u72ec\u7acb\u6027\u7684\u201c\u6697\u6218\u201d\uff1f-3\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/39be3eab3d9c8ce.jpg\" alt=\"LLM \u84b8\u998f\uff1a\u4e00\u573a\u5173\u4e8e\u5927\u6a21\u578b\u72ec\u7acb\u6027\u7684\u201c\u6697\u6218\u201d\uff1f-3\" \/><\/p>\n<p><strong>\u56fe 3: ICE \u7ed3\u679c\u6bd4\u8f83\u3002<\/strong>\u00a0\u6a21\u578b\u7f29\u5199\u6620\u5c04\u5982\u4e0b\uff1a\u201cClaude\u201d\u5bf9\u5e94\u201cClaude3.5-Sonnet\u201d\uff0c\u201cDoubao\u201d\u5bf9\u5e94\u201cDoubao-Pro-32k\u201d\uff0c\u201cGemini\u201d\u5bf9\u5e94\u201cGemini-Flash-2.0\u201d\uff0c\u201cLlama3.1\u201d\u5bf9\u5e94\u201cLlama3.1-70B-Instruct\u201d\uff0c\u201cDPSK-V3\u201d\u5bf9\u5e94\u201cDeepSeek-V3\u201d\uff0c\u201cQwen-Max\u201d\u5bf9\u5e94\u201cQwen-Max-0919\u201d\u3002<\/p>\n<ul>\n<li><strong>\u4e0d\u540c\u7c7b\u578b\u8eab\u4efd\u63d0\u793a\u7684\u6210\u529f\u653b\u51fb\u6b21\u6570:<\/strong>\n<ul>\n<li><strong>\u56e2\u961f\u3001\u884c\u4e1a\u3001\u6280\u672f<\/strong>\u00a0\u65b9\u9762\u7684 LLM \u611f\u77e5\u66f4\u5bb9\u6613\u53d7\u5230\u653b\u51fb\uff0c\u53ef\u80fd\u662f\u56e0\u4e3a\u8fd9\u4e9b\u65b9\u9762\u5b58\u5728\u66f4\u591a\u672a\u6e05\u7406\u7684\u84b8\u998f\u6570\u636e\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><img decoding=\"async\" title=\"LLM \u84b8\u998f\uff1a\u4e00\u573a\u5173\u4e8e\u5927\u6a21\u578b\u72ec\u7acb\u6027\u7684\u201c\u6697\u6218\u201d\uff1f-4\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/e5193dd6e9edaf5.jpg\" alt=\"LLM \u84b8\u998f\uff1a\u4e00\u573a\u5173\u4e8e\u5927\u6a21\u578b\u72ec\u7acb\u6027\u7684\u201c\u6697\u6218\u201d\uff1f-4\" \/><\/p>\n<p><strong>\u56fe 4: \u4e0d\u540c\u7c7b\u578b\u8eab\u4efd\u63d0\u793a\u7684 ICE \u6210\u529f\u653b\u51fb\u6b21\u6570\u3002<\/strong>\u00a0\u6a21\u578b\u7f29\u5199\u6620\u5c04\u4e0e\u56fe 3 \u76f8\u540c\u3002<\/p>\n<h4><strong>2. \u54cd\u5e94\u76f8\u4f3c\u6027\u8bc4\u4f30 (RSE) \u7ed3\u679c:<\/strong><\/h4>\n<ul>\n<li><strong>\u4e3b\u8981\u53d1\u73b0:<\/strong>\n<ul>\n<li><strong>GPT \u7cfb\u5217\u6a21\u578b<\/strong>\uff08\u4f8b\u5982 GPT4o-0513\uff0c\u5e73\u5747\u76f8\u4f3c\u5ea6\u4e3a 4.240\uff09\u8868\u73b0\u51fa\u6700\u9ad8\u7684\u54cd\u5e94\u76f8\u4f3c\u6027\uff0c\u8868\u660e\u5176\u84b8\u998f\u7a0b\u5ea6\u8f83\u9ad8\u3002<\/li>\n<li><strong>Llama3.1-70B-Instruct (3.628) \u548c Doubao-Pro32k (3.720)<\/strong>\u00a0\u7b49\u5b66\u751f\u6a21\u578b\u7684\u76f8\u4f3c\u5ea6\u8f83\u4f4e\uff0c\u8868\u660e\u5176\u84b8\u998f\u7a0b\u5ea6\u8f83\u4f4e\u3002<\/li>\n<li><strong>DeepSeek-V3 (4.102) \u548c Qwen-Max-0919 (4.174)<\/strong>\u00a0\u7b49\u5b66\u751f\u6a21\u578b\u8868\u73b0\u51fa\u66f4\u9ad8\u7684\u84b8\u998f\u6c34\u5e73\uff0c\u4e0e GPT4o-0806 \u4fdd\u6301\u4e00\u81f4\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><img decoding=\"async\" title=\"LLM \u84b8\u998f\uff1a\u4e00\u573a\u5173\u4e8e\u5927\u6a21\u578b\u72ec\u7acb\u6027\u7684\u201c\u6697\u6218\u201d\uff1f-5\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/c021e1e944274af.jpg\" alt=\"LLM \u84b8\u998f\uff1a\u4e00\u573a\u5173\u4e8e\u5927\u6a21\u578b\u72ec\u7acb\u6027\u7684\u201c\u6697\u6218\u201d\uff1f-5\" \/><\/p>\n<p><strong>\u56fe 5: RSE \u7ed3\u679c\u3002<\/strong>\u00a0\u884c\u4ee3\u8868\u4e0d\u540c\u7684\u6d4b\u8bd5\u6a21\u578b\uff0c\u5217\u4ee3\u8868\u4e0d\u540c\u7684\u6570\u636e\u96c6\uff08ArenaHard\u3001Numina \u548c ShareGPT\uff09\u3002 \u8868\u4e2d\u7684\u5206\u6570\u8868\u793a\u6bcf\u4e2a\u6a21\u578b-\u6570\u636e\u96c6\u5bf9\u7684 RSE \u5206\u6570\u3002 \u201cAvg\u201d\u5217\u663e\u793a\u6bcf\u4e2a\u6a21\u578b\u7684\u5e73\u5747 RSE \u5206\u6570\u3002<\/p>\n<h4><strong>3. \u5176\u4ed6\u91cd\u8981\u53d1\u73b0:<\/strong><\/h4>\n<ul>\n<li><strong>\u57fa\u7ebf LLM \u4e0e\u5fae\u8c03 LLM:<\/strong>\n<ul>\n<li>\u57fa\u7ebf LLM \u901a\u5e38\u8868\u73b0\u51fa\u6bd4\u76d1\u7763\u5fae\u8c03 (SFT) LLM \u66f4\u9ad8\u7684\u84b8\u998f\u6c34\u5e73\u3002<\/li>\n<li>\u8fd9\u8868\u660e\u57fa\u7ebf LLM \u66f4\u503e\u5411\u4e8e\u8868\u73b0\u51fa\u53ef\u8bc6\u522b\u7684\u84b8\u998f\u6a21\u5f0f\uff0c\u53ef\u80fd\u662f\u7531\u4e8e\u7f3a\u4e4f\u7279\u5b9a\u4efb\u52a1\u7684\u5fae\u8c03\uff0c\u4f7f\u5176\u66f4\u5bb9\u6613\u53d7\u5230\u8bc4\u4f30\u4e2d\u5229\u7528\u7684\u6f0f\u6d1e\u7684\u5f71\u54cd\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5f00\u6e90\u4e0e\u95ed\u6e90 LLM:<\/strong>\n<ul>\n<li>\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u95ed\u6e90 LLM\uff08\u5982 Qwen-Max-0919\uff09\u6bd4\u5f00\u6e90 LLM\uff08\u5982 Qwen 2.5 \u7cfb\u5217\uff09\u5177\u6709\u66f4\u9ad8\u7684\u84b8\u998f\u7a0b\u5ea6\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>\u56db\u3001 \u7ed3\u8bba<\/h3>\n<p><strong>\u91cd\u70b9\u5173\u6ce8\u4ee5\u4e0b\u4e24\u4e2a\u65b9\u9762\uff1a<\/strong><\/p>\n<p>1. <strong>\u5728\u8d8a\u72f1\u653b\u51fb\u4e0b\u8bc6\u522b\u81ea\u6211\u610f\u8bc6\u77db\u76fe:<\/strong>\u00a0\u4ee5\u8bc4\u4f30 LLM \u5728\u81ea\u6211\u610f\u8bc6\u65b9\u9762\u7684\u4e00\u81f4\u6027\u3002<br \/>\n2. <strong>\u5206\u6790\u591a\u7c92\u5ea6\u54cd\u5e94\u76f8\u4f3c\u6027:<\/strong>\u00a0\u4ee5\u8861\u91cf LLM \u4e4b\u95f4\u7684\u540c\u8d28\u5316\u7a0b\u5ea6\u3002<\/p>\n<p><strong>\u63ed\u793a\u4e86\u4ee5\u4e0b\u5173\u952e\u70b9\uff1a<\/strong><\/p>\n<ol>\n<li><strong>LLM \u84b8\u998f\u7684\u73b0\u72b6:<\/strong>\n<ul>\n<li>\u5927\u591a\u6570\u77e5\u540d\u7684\u95ed\u6e90\u548c\u5f00\u6e90 LLM \u90fd\u8868\u73b0\u51fa\u8f83\u9ad8\u7684\u84b8\u998f\u7a0b\u5ea6\uff0cClaude\u3001Doubao \u548c <a href=\"https:\/\/www.kdjingpai.com\/pt\/geminibardgubu\/\">Gemini<\/a> \u9664\u5916\u3002<\/li>\n<li>\u8fd9\u8868\u660e LLM \u9886\u57df\u5b58\u5728\u4e00\u5b9a\u7a0b\u5ea6\u7684\u540c\u8d28\u5316\u8d8b\u52bf\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u84b8\u998f\u5bf9 AI \u72ec\u7acb\u6027\u7684\u5f71\u54cd:<\/strong>\n<ul>\n<li>\u57fa\u7ebf LLM \u8868\u73b0\u51fa\u6bd4\u5fae\u8c03 LLM \u66f4\u9ad8\u7684\u84b8\u998f\u6c34\u5e73\uff0c\u8868\u660e\u5176\u66f4\u5bb9\u6613\u53d7\u5230\u73b0\u6709\u6a21\u578b\u77e5\u8bc6\u7684\u5f71\u54cd\uff0c\u7f3a\u4e4f\u8db3\u591f\u7684\u72ec\u7acb\u6027\u3002<\/li>\n<li>\u95ed\u6e90 LLM \u7684\u9ad8\u84b8\u998f\u7a0b\u5ea6\u4e5f\u5f15\u53d1\u4e86\u5173\u4e8e AI \u72ec\u7acb\u6027\u7684\u601d\u8003\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u672a\u6765\u53d1\u5c55\u65b9\u5411:<\/strong>\n<ul>\n<li>\u672c\u6587\u547c\u5401 LLM \u9886\u57df\u8fdb\u884c\u66f4\u591a\u72ec\u7acb\u7684\u5f00\u53d1\u548c\u66f4\u900f\u660e\u7684\u6280\u672f\u62a5\u544a\uff0c\u4ee5\u589e\u5f3a LLM \u7684\u9c81\u68d2\u6027\u548c\u5b89\u5168\u6027\u3002<\/li>\n<li>\u63a8\u52a8 LLM 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