{"id":34686,"date":"2024-12-11T03:57:07","date_gmt":"2024-12-10T19:57:07","guid":{"rendered":"https:\/\/17aitech.com\/?p=34686"},"modified":"2024-12-11T03:57:07","modified_gmt":"2024-12-10T19:57:07","slug":"%e9%a6%96%e4%b8%aa%e8%b6%85%e8%b6%8agpt4o%e7%ba%a7%e5%bc%80%e6%ba%90%e6%a8%a1%e5%9e%8b%ef%bc%81llama-3-1%e6%b3%84%e5%af%86%ef%bc%9a4050%e4%ba%bf%e5%8f%82%e6%95%b0%ef%bc%8c%e4%b8%8b%e8%bd%bd%e9%93%be","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=34686","title":{"rendered":"\u9996\u4e2a\u8d85\u8d8aGPT4o\u7ea7\u5f00\u6e90\u6a21\u578b\uff01Llama 3.1\u6cc4\u5bc6\uff1a4050\u4ebf\u53c2\u6570\uff0c\u4e0b\u8f7d\u94fe\u63a5\u3001\u6a21\u578b\u5361\u90fd\u6709\u4e86"},"content":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2024-07-23-6\" target=\"_blank\">\u9996\u4e2a\u8d85\u8d8aGPT4o\u7ea7\u5f00\u6e90\u6a21\u578b\uff01Llama 3.1\u6cc4\u5bc6\uff1a4050\u4ebf\u53c2\u6570\uff0c\u4e0b\u8f7d\u94fe\u63a5\u3001\u6a21\u578b\u5361\u90fd\u6709\u4e86<\/a><\/p>\n<blockquote data-author-name=\"\" data-content-utf8-length=\"10\" data-source-title=\"\" data-type=\"2\" data-url=\"\">\n<section>\n<section>\n<p>\u5feb\u51c6\u5907\u597d\u4f60\u7684 GPU\uff01<\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n<section><\/section>\n<section>Llama 3.1 \u7ec8\u4e8e\u73b0\u8eab\u4e86\uff0c\u4e0d\u8fc7\u51fa\u5904\u5374\u4e0d\u662f Meta \u5b98\u65b9\u3002<\/section>\n<section><\/section>\n<section>\u4eca\u65e5\uff0cReddit \u4e0a\u65b0\u7248 Llama \u5927\u6a21\u578b\u6cc4\u9732\u7684\u6d88\u606f\u906d\u5230\u4e86\u75af\u4f20\uff0c<strong>\u9664\u4e86\u57fa\u7840\u6a21\u578b\uff0c\u8fd8\u5305\u62ec 8B\u300170B \u548c\u6700\u5927<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u7684 405B \u7684<mark data-type=\"concepts\" data-id=\"308c3a45-0fee-4ec6-858e-85b15f440fc0\">\u57fa\u51c6<\/mark>\u6d4b\u8bd5\u7ed3\u679c<\/strong>\u3002<\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-7dfc2d36c1271f13b5cbdd83fe260bd7.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-7dfc2d36c1271f13b5cbdd83fe260bd7.png\"><\/a><\/p>\n<section>\u4e0b\u56fe\u4e3a Llama 3.1 \u5404\u7248\u672c\u4e0e <mark data-type=\"tech_methods\" data-id=\"a66e8dc4-33aa-4bdf-afde-864a544f15d3\">OpenAI GPT<\/mark>-4o\u3001Llama 3 8B\/70B \u7684\u6bd4\u8f83\u7ed3\u679c\u3002\u53ef\u4ee5\u770b\u5230\uff0c<strong>\u5373\u4f7f\u662f 70B \u7684\u7248\u672c\uff0c\u4e5f\u5728\u591a\u9879<mark data-type=\"concepts\" data-id=\"308c3a45-0fee-4ec6-858e-85b15f440fc0\">\u57fa\u51c6<\/mark>\u4e0a\u8d85\u8fc7\u4e86 GPT-4o<\/strong>\u3002<\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-e58d39fae07b7580ce3e4882bd66a57d.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-e58d39fae07b7580ce3e4882bd66a57d.png\"><\/a><\/p>\n<section><em><sup>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u56fe\u6e90\uff1ahttps:\/\/x.com\/mattshumer_\/status\/1815444612414087294<\/sup><\/em><\/section>\n<section><\/section>\n<section>\u663e\u7136\uff0c3.1 \u7248\u672c\u7684 8B \u548c 70B \u6a21\u578b\u662f\u7531 405B \u84b8\u998f\u5f97\u6765\u7684\uff0c\u56e0\u6b64\u76f8\u6bd4\u4e0a\u4e00\u4ee3\u6709\u7740\u660e\u663e\u7684\u6027\u80fd\u63d0\u5347\u3002<\/section>\n<section><\/section>\n<section>\u6709\u7f51\u53cb\u8868\u793a\uff0c\u8fd9\u662f<strong>\u9996\u6b21\u5f00\u6e90\u6a21\u578b\u8d85\u8d8a\u4e86 GPT4o \u548c Claude Sonnet 3.5 \u7b49\u95ed\u6e90\u6a21\u578b\uff0c\u5728\u591a\u4e2a benchmark \u4e0a\u8fbe\u5230\u00a0SOTA<\/strong>\u3002<\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-02c5756fba6b97b9673d3d6ca3b6d3f5.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-02c5756fba6b97b9673d3d6ca3b6d3f5.png\"><\/a><\/p>\n<section>\u4e0e\u6b64\u540c\u65f6\uff0cLlama 3.1 \u7684\u6a21\u578b\u5361\u6d41\u51fa\uff0c\u7ec6\u8282\u4e5f\u6cc4\u9732\u4e86\uff08\u4ece\u6a21\u578b\u5361\u4e2d\u6807\u6ce8\u7684\u65e5\u671f\u770b\u51fa\u57fa\u4e8e 7 \u6708 23 \u65e5\u53d1\u5e03\uff09\u3002<\/section>\n<section><\/section>\n<section>\u6709\u4eba\u603b\u7ed3\u4e86\u4ee5\u4e0b\u51e0\u4e2a\u4eae\u70b9\uff1a<\/section>\n<section><\/section>\n<ul>\n<li>\n<section>\u6a21\u578b\u4f7f\u7528\u4e86\u516c\u5f00\u6765\u6e90\u7684 15T+ tokens \u8fdb\u884c\u8bad\u7ec3\uff0c\u9884\u8bad\u7ec3\u6570\u636e\u622a\u6b62\u65e5\u671f\u4e3a 2023 \u5e74 12 \u6708\uff1b<\/section>\n<\/li>\n<li>\n<section>\u5fae\u8c03\u6570\u636e\u5305\u62ec\u516c\u5f00\u53ef\u7528\u7684\u6307\u4ee4\u5fae\u8c03\u6570\u636e\u96c6\uff08\u4e0e Llama 3 \u4e0d\u540c\uff09\u548c 1500 \u4e07\u4e2a\u5408\u6210\u6837\u672c\uff1b<\/section>\n<\/li>\n<li>\n<section>\u6a21\u578b\u652f\u6301\u591a\u8bed\u8a00\uff0c\u5305\u62ec\u82f1\u8bed\u3001\u6cd5\u8bed\u3001\u5fb7\u8bed\u3001\u5370\u5730\u8bed\u3001\u610f\u5927\u5229\u8bed\u3001\u8461\u8404\u7259\u8bed\u3001\u897f\u73ed\u7259\u8bed\u548c\u6cf0\u8bed\u3002<\/section>\n<\/li>\n<\/ul>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-e5f2e4ae5878d52b901f1fb6a2e3e796.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-e5f2e4ae5878d52b901f1fb6a2e3e796.png\"><\/a><\/p>\n<section><em><sup>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u56fe\u6e90\uff1ahttps:\/\/x.com\/iScienceLuvr\/status\/1815519917715730702<\/sup><\/em><\/section>\n<section><\/section>\n<section>\u867d\u7136\u6cc4\u9732\u7684 Github \u94fe\u63a5\u76ee\u524d 404 \u4e86\uff0c\u4f46\u6709\u7f51\u53cb\u7ed9\u51fa\u4e86\u4e0b\u8f7d\u94fe\u63a5\uff08\u4e0d\u8fc7\u4e3a\u4e86\u5b89\u5168\uff0c\u5efa\u8bae\u8fd8\u662f\u7b49\u4eca\u665a\u7684\u5b98\u65b9\u6e20\u9053\u516c\u5e03\uff09\uff1a<\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-618cc70df46124e1211ff77d7c51eab1.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-618cc70df46124e1211ff77d7c51eab1.png\"><\/a><\/p>\n<section>\u4e0d\u8fc7\u8fd9\u6bd5\u7adf\u662f\u4e2a\u5343\u4ebf\u7ea7\u5927\u6a21\u578b\uff0c\u4e0b\u8f7d\u4e4b\u524d\u8bf7\u51c6\u5907\u597d\u8db3\u591f\u7684\u786c\u76d8\u7a7a\u95f4\uff1a<\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-d34c79c7b3c92a1d7cf4f7f7af494916.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-d34c79c7b3c92a1d7cf4f7f7af494916.png\"><\/a><\/p>\n<section>\u4ee5\u4e0b\u662f Llama 3.1 \u6a21\u578b\u5361\u4e2d\u7684\u91cd\u8981\u5185\u5bb9\uff1a<\/section>\n<section><\/section>\n<section><strong>\u6a21\u578b\u57fa\u672c\u4fe1\u606f<\/strong><\/section>\n<section><\/section>\n<section>Meta Llama 3.1 \u591a\u8bed\u8a00\u5927\u578b<mark data-type=\"tech_tasks\" data-id=\"bf35ef94-d956-4033-a533-0c0828308c36\">\u8bed\u8a00\u6a21\u578b<\/mark> (LLM) \u96c6\u5408\u662f\u4e00\u7ec4\u7ecf\u8fc7\u9884\u8bad\u7ec3\u548c\u6307\u4ee4\u5fae\u8c03\u7684<mark data-type=\"tech_methods\" data-id=\"d92a1cda-8e30-4199-9678-2d8c6c17d736\">\u751f\u6210\u6a21\u578b<\/mark>\uff0c\u5927\u5c0f\u5206\u522b\u4e3a 8B\u300170B \u548c 405B\uff08\u6587\u672c\u8f93\u5165 \/ \u6587\u672c\u8f93\u51fa\uff09\u3002Llama 3.1 \u6307\u4ee4\u5fae\u8c03\u7684\u7eaf\u6587\u672c\u6a21\u578b\uff088B\u300170B\u3001405B\uff09\u9488\u5bf9\u591a\u8bed\u8a00\u5bf9\u8bdd\u7528\u4f8b\u8fdb\u884c\u4e86\u4f18\u5316\uff0c\u5728\u5e38\u89c1\u7684\u884c\u4e1a<mark data-type=\"concepts\" data-id=\"308c3a45-0fee-4ec6-858e-85b15f440fc0\">\u57fa\u51c6<\/mark>\u4e0a\u4f18\u4e8e\u8bb8\u591a\u53ef\u7528\u7684\u5f00\u6e90\u548c\u95ed\u6e90\u804a\u5929\u6a21\u578b\u3002<\/section>\n<section><\/section>\n<section>\u6a21\u578b\u67b6\u6784\uff1aLlama 3.1 \u662f\u4f18\u5316\u4e86\u7684 Transformer \u67b6\u6784\u81ea\u56de\u5f52<mark data-type=\"tech_tasks\" data-id=\"bf35ef94-d956-4033-a533-0c0828308c36\">\u8bed\u8a00\u6a21\u578b<\/mark>\u3002\u5fae\u8c03\u540e\u7684\u7248\u672c\u4f7f\u7528 SFT \u548c\u00a0RLHF \u6765\u5bf9\u9f50\u53ef\u7528\u6027\u4e0e\u5b89\u5168\u504f\u597d\u3002<\/section>\n<section><\/section>\n<section>\u652f\u6301\u8bed\u8a00\uff1a\u82f1\u8bed\u3001\u5fb7\u8bed\u3001\u6cd5\u8bed\u3001\u610f\u5927\u5229\u8bed\u3001\u8461\u8404\u7259\u8bed\u3001\u5370\u5730\u8bed\u3001\u897f\u73ed\u7259\u8bed\u548c\u6cf0\u8bed\u3002<\/section>\n<section>\u00a0<\/section>\n<section>\u4ece\u6a21\u578b\u5361\u4fe1\u606f\u53ef\u4ee5\u63a8\u65ad\uff0c<strong>Llama 3.1 \u7cfb\u5217\u6a21\u578b\u7684\u4e0a\u4e0b\u6587\u957f\u5ea6\u4e3a 128k<\/strong>\u3002\u6240\u6709\u6a21\u578b\u7248\u672c\u90fd\u4f7f\u7528\u5206\u7ec4<mark data-type=\"concepts\" data-id=\"bf740558-f0f7-41a8-87a0-e695a97563b3\">\u67e5\u8be2<\/mark>\u6ce8\u610f\u529b\uff08GQA\uff09\u6765\u63d0\u9ad8\u63a8\u7406\u53ef\u6269\u5c55\u6027\u3002<\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-224baec21235cd13a2e6f19b3f05fba0.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-224baec21235cd13a2e6f19b3f05fba0.png\"><\/a><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-4d86d00f2efcc980c0b88b84e9a3d902.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-4d86d00f2efcc980c0b88b84e9a3d902.png\"><\/a><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-e9099ca6c27762e7be5012e0c845eaf2.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-e9099ca6c27762e7be5012e0c845eaf2.png\"><\/a><\/p>\n<section><strong>\u9884\u671f\u7528\u9014<\/strong><\/section>\n<section><\/section>\n<section>\u9884\u671f\u7528\u4f8b\u3002Llama 3.1 \u65e8\u5728\u7528\u4e8e\u591a\u8bed\u8a00\u7684\u5546\u4e1a\u5e94\u7528\u53ca\u7814\u7a76\u3002\u6307\u4ee4\u8c03\u6574\u7684\u7eaf\u6587\u672c\u6a21\u578b\u9002\u7528\u4e8e\u7c7b\u52a9\u7406\u804a\u5929\uff0c\u800c\u9884\u8bad\u7ec3\u6a21\u578b\u53ef\u4ee5\u9002\u5e94\u5404\u79cd<mark data-type=\"tech_tasks\" data-id=\"f04b46c6-6e93-4912-822d-bcecd5528d65\">\u81ea\u7136\u8bed\u8a00\u751f\u6210<\/mark>\u4efb\u52a1\u3002<\/section>\n<section><\/section>\n<section>Llama 3.1 \u6a21\u578b\u96c6\u8fd8\u652f\u6301\u5229\u7528\u5176\u6a21\u578b\u8f93\u51fa\u6765\u6539\u8fdb\u5176\u4ed6\u6a21\u578b\uff08\u5305\u62ec\u5408\u6210\u6570\u636e\u751f\u6210\u548c\u84b8\u998f\uff09\u7684\u80fd\u529b\u3002Llama 3.1 \u793e\u533a\u8bb8\u53ef\u534f\u8bae\u5141\u8bb8\u8fd9\u4e9b\u7528\u4f8b\u3002\u00a0<\/section>\n<section><\/section>\n<section>Llama 3.1 \u5728\u6bd4 8 \u79cd\u53d7\u652f\u6301\u8bed\u8a00\u66f4\u5e7f\u6cdb\u7684\u8bed\u8a00\u96c6\u5408\u4e0a\u8fdb\u884c\u8bad\u7ec3\u3002\u5f00\u53d1\u4eba\u5458\u53ef\u4ee5\u9488\u5bf9 8 \u79cd\u53d7\u652f\u6301\u8bed\u8a00\u4ee5\u5916\u7684\u8bed\u8a00\u5bf9 Llama 3.1 \u6a21\u578b\u8fdb\u884c\u5fae\u8c03\uff0c\u524d\u63d0\u662f\u9075\u5b88 Llama 3.1 \u793e\u533a\u8bb8\u53ef\u534f\u8bae\u548c\u53ef\u63a5\u53d7\u4f7f\u7528\u7b56\u7565\uff0c \u5e76\u4e14\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\u8d1f\u8d23\u786e\u4fdd\u4ee5\u5b89\u5168\u548c\u8d1f\u8d23\u4efb\u7684\u65b9\u5f0f\u4f7f\u7528\u5176\u4ed6\u8bed\u8a00\u7684 Llama 3.1\u3002<\/section>\n<section><\/section>\n<section><strong>\u8f6f\u786c\u4ef6\u57fa\u7840\u8bbe\u65bd<\/strong><\/section>\n<section>\u00a0<\/section>\n<section>\u9996\u5148\u662f\u8bad\u7ec3\u8981\u7d20\uff0cLlama 3.1 \u4f7f\u7528\u81ea\u5b9a\u4e49\u8bad\u7ec3\u5e93\u3001Meta \u5b9a\u5236\u7684 GPU \u96c6\u7fa4\u548c\u751f\u4ea7\u57fa\u7840\u8bbe\u65bd\u8fdb\u884c\u9884\u8bad\u7ec3\uff0c\u8fd8\u5728\u751f\u4ea7\u57fa\u7840\u8bbe\u65bd\u4e0a\u8fdb\u884c\u4e86\u5fae\u8c03\u3001\u6ce8\u91ca\u548c\u8bc4\u4f30\u3002<\/section>\n<section><\/section>\n<section>\u5176\u6b21\u662f\u8bad\u7ec3\u80fd\u8017\uff0cLlama 3.1 \u8bad\u7ec3\u5728 H100-80GB\uff08TDP \u4e3a 700W\uff09\u7c7b\u578b\u786c\u4ef6\u4e0a\u7d2f\u8ba1\u4f7f\u7528\u4e86 39.3 M GPU \u5c0f\u65f6\u7684\u8ba1\u7b97\u3002\u8fd9\u91cc\u8bad\u7ec3\u65f6\u95f4\u662f\u8bad\u7ec3\u6bcf\u4e2a\u6a21\u578b\u6240\u9700\u7684\u603b GPU \u65f6\u95f4\uff0c\u529f\u8017\u662f\u6bcf\u4e2a GPU \u8bbe\u5907\u7684\u5cf0\u503c\u529f\u7387\u5bb9\u91cf\uff0c\u6839\u636e\u7528\u7535\u6548\u7387\u8fdb\u884c\u4e86\u8c03\u6574\u3002\u00a0<\/section>\n<section><\/section>\n<section>\u8bad\u7ec3\u6e29\u5ba4\u6c14\u4f53\u6392\u653e\u3002Llama 3.1 \u8bad\u7ec3\u671f\u95f4\u57fa\u4e8e\u5730\u57df<mark data-type=\"concepts\" data-id=\"308c3a45-0fee-4ec6-858e-85b15f440fc0\">\u57fa\u51c6<\/mark>\u7684\u6e29\u5ba4\u6c14\u4f53\u603b\u6392\u653e\u91cf\u9884\u4f30\u4e3a 11,390 \u5428\u4e8c\u6c27\u5316\u78b3\u5f53\u91cf\u3002\u81ea 2020 \u5e74\u4ee5\u6765\uff0cMeta \u5728\u5168\u7403\u8fd0\u8425\u4e2d\u4e00\u76f4\u4fdd\u6301\u51c0\u96f6\u6e29\u5ba4\u6c14\u4f53\u6392\u653e\uff0c\u5e76\u5c06\u5176 100% \u7684\u7535\u529b\u4f7f\u7528\u4e0e\u53ef\u518d\u751f\u80fd\u6e90\u76f8\u5339\u914d\uff0c\u56e0\u6b64\u8bad\u7ec3\u671f\u95f4\u57fa\u4e8e\u5e02\u573a<mark data-type=\"concepts\" data-id=\"308c3a45-0fee-4ec6-858e-85b15f440fc0\">\u57fa\u51c6<\/mark>\u7684\u6e29\u5ba4\u6c14\u4f53\u603b\u6392\u653e\u91cf\u4e3a 0 \u5428\u4e8c\u6c27\u5316\u78b3\u5f53\u91cf\u3002<\/section>\n<section><\/section>\n<section>\u7528\u4e8e\u786e\u5b9a\u8bad\u7ec3\u80fd\u6e90\u4f7f\u7528\u548c\u6e29\u5ba4\u6c14\u4f53\u6392\u653e\u7684\u65b9\u6cd5\u53ef\u4ee5\u5728\u4ee5\u4e0b\u8bba\u6587\u4e2d\u627e\u5230\u3002\u7531\u4e8e Meta \u516c\u5f00\u53d1\u5e03\u4e86\u8fd9\u4e9b\u6a21\u578b\uff0c\u56e0\u6b64\u5176\u4ed6\u4eba\u4e0d\u9700\u8981\u627f\u62c5\u8bad\u7ec3\u80fd\u6e90\u4f7f\u7528\u548c\u6e29\u5ba4\u6c14\u4f53\u6392\u653e\u3002<\/section>\n<section><\/section>\n<section>\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/arxiv.org\/pdf\/2204.05149<\/section>\n<section><\/section>\n<section><strong>\u8bad\u7ec3\u6570\u636e<\/strong><\/section>\n<section>\u00a0<\/section>\n<section>\u6982\u8ff0\uff1aLlama 3.1 \u4f7f\u7528\u6765\u81ea\u516c\u5f00\u6765\u6e90\u7684\u7ea6 15 \u4e07\u4ebf\u4e2a token \u6570\u636e\u8fdb\u884c\u4e86\u9884\u8bad\u7ec3\u3002\u5fae\u8c03\u6570\u636e\u5305\u62ec\u516c\u5f00\u53ef\u7528\u7684\u6307\u4ee4\u6570\u636e\u96c6\uff0c\u4ee5\u53ca\u8d85\u8fc7 2500 \u4e07\u4e2a\u7efc\u5408\u751f\u6210\u7684\u793a\u4f8b\u3002\u00a0<\/section>\n<section>\u00a0<\/section>\n<section>\u6570\u636e\u65b0\u9c9c\u5ea6\uff1a\u9884\u8bad\u7ec3\u6570\u636e\u7684\u622a\u6b62\u65e5\u671f\u4e3a 2023 \u5e74 12 \u6708\u3002<\/section>\n<section><\/section>\n<section><strong>Benchmark \u8bc4\u5206<\/strong><\/section>\n<section><\/section>\n<section>\u5728\u8fd9\u4e00\u90e8\u5206\uff0cMeta \u62a5\u544a\u4e86 Llama 3.1 \u6a21\u578b\u5728\u6807\u6ce8 benchmark \u4e0a\u7684\u8bc4\u5206\u7ed3\u679c\u3002\u6240\u6709\u7684\u8bc4\u4f30\uff0cMeta \u90fd\u662f\u4f7f\u7528\u5185\u90e8\u7684\u8bc4\u4f30\u5e93\u3002<\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-c1e894e7c0f09a753ebeadf36ed3ead5.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-c1e894e7c0f09a753ebeadf36ed3ead5.png\"><\/a><\/p>\n<section><strong>\u5b89\u5168\u98ce\u9669\u8003\u91cf<\/strong><\/section>\n<section><\/section>\n<section>Llama \u7814\u7a76\u56e2\u961f\u81f4\u529b\u4e8e\u4e3a\u7814\u7a76\u754c\u63d0\u4f9b\u5b9d\u8d35\u7684\u8d44\u6e90\u6765\u7814\u7a76\u5b89\u5168\u5fae\u8c03\u7684\u7a33\u5065\u6027\uff0c\u5e76\u4e3a\u5f00\u53d1\u4eba\u5458\u63d0\u4f9b\u9002\u7528\u4e8e\u5404\u79cd\u5e94\u7528\u7684\u5b89\u5168\u4e14\u5f3a\u5927\u7684\u73b0\u6210\u6a21\u578b\uff0c\u4ee5\u51cf\u5c11\u90e8\u7f72\u5b89\u5168<mark data-type=\"concepts\" data-id=\"2d28aa9c-942d-471d-bd96-8bfefb7144e0\">\u4eba\u5de5\u667a\u80fd<\/mark>\u7cfb\u7edf\u7684\u5f00\u53d1\u4eba\u5458\u7684\u5de5\u4f5c\u91cf\u3002<\/section>\n<section>\u00a0<\/section>\n<section>\u7814\u7a76\u56e2\u961f\u91c7\u7528\u591a\u65b9\u9762\u6570\u636e\u6536\u96c6\u65b9\u6cd5\uff0c\u5c06\u4f9b\u5e94\u5546\u7684\u4eba\u5de5\u751f\u6210\u6570\u636e\u4e0e\u5408\u6210\u6570\u636e\u76f8\u7ed3\u5408\uff0c\u4ee5\u51cf\u8f7b\u6f5c\u5728\u7684\u5b89\u5168\u98ce\u9669\u3002\u7814\u7a76\u56e2\u961f\u5f00\u53d1\u4e86\u8bb8\u591a\u57fa\u4e8e\u5927\u578b<mark data-type=\"tech_tasks\" data-id=\"bf35ef94-d956-4033-a533-0c0828308c36\">\u8bed\u8a00\u6a21\u578b<\/mark> (LLM) \u7684\u5206\u7c7b\u5668\uff0c\u4ee5\u6df1\u601d\u719f\u8651\u5730\u9009\u62e9\u9ad8\u8d28\u91cf\u7684 prompt \u548c\u54cd\u5e94\uff0c\u4ece\u800c\u589e\u5f3a\u6570\u636e\u8d28\u91cf\u63a7\u5236\u3002<\/section>\n<section>\u00a0<\/section>\n<section>\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0cLlama 3.1 \u975e\u5e38\u91cd\u89c6\u6a21\u578b\u62d2\u7edd\u826f\u6027 prompt \u4ee5\u53ca\u62d2\u7edd\u8bed\u6c14\u3002\u7814\u7a76\u56e2\u961f\u5728\u5b89\u5168\u6570\u636e\u7b56\u7565\u4e2d\u5f15\u5165\u4e86\u8fb9\u754c prompt \u548c\u5bf9\u6297\u6027 prompt\uff0c\u5e76\u4fee\u6539\u4e86\u5b89\u5168\u6570\u636e\u54cd\u5e94\u4ee5\u9075\u5faa\u8bed\u6c14\u6307\u5357\u3002\u00a0<\/section>\n<section><\/section>\n<section>Llama 3.1 \u6a21\u578b\u5e76\u975e\u8bbe\u8ba1\u4e3a\u5355\u72ec\u90e8\u7f72\uff0c\u800c\u662f\u5e94\u4f5c\u4e3a\u6574\u4e2a<mark data-type=\"concepts\" data-id=\"2d28aa9c-942d-471d-bd96-8bfefb7144e0\">\u4eba\u5de5\u667a\u80fd<\/mark>\u7cfb\u7edf\u7684\u4e00\u90e8\u5206\u8fdb\u884c\u90e8\u7f72\uff0c\u5e76\u6839\u636e\u9700\u8981\u63d0\u4f9b\u989d\u5916\u7684\u300c\u5b89\u5168\u62a4\u680f\u300d\u3002\u5f00\u53d1\u4eba\u5458\u5728\u6784\u5efa\u667a\u80fd\u4f53\u7cfb\u7edf\u65f6\u5e94\u90e8\u7f72\u7cfb\u7edf\u5b89\u5168\u63aa\u65bd\u3002<\/section>\n<section><\/section>\n<section>\u8bf7\u6ce8\u610f\uff0c\u8be5\u7248\u672c\u5f15\u5165\u4e86\u65b0\u529f\u80fd\uff0c\u5305\u62ec\u66f4\u957f\u7684\u4e0a\u4e0b\u6587\u7a97\u53e3\u3001\u591a\u8bed\u8a00\u8f93\u5165\u548c\u8f93\u51fa\uff0c\u4ee5\u53ca\u5f00\u53d1\u4eba\u5458\u4e0e\u7b2c\u4e09\u65b9\u5de5\u5177\u7684\u53ef\u80fd\u96c6\u6210\u3002\u4f7f\u7528\u8fd9\u4e9b\u65b0\u529f\u80fd\u8fdb\u884c\u6784\u5efa\u65f6\uff0c\u9664\u4e86\u9700\u8981\u8003\u8651\u4e00\u822c\u9002\u7528\u4e8e\u6240\u6709\u751f\u6210\u5f0f<mark data-type=\"concepts\" data-id=\"2d28aa9c-942d-471d-bd96-8bfefb7144e0\">\u4eba\u5de5\u667a\u80fd<\/mark>\u7528\u4f8b\u7684\u6700\u4f73\u5b9e\u8df5\u5916\uff0c\u8fd8\u9700\u8981\u7279\u522b\u6ce8\u610f\u4ee5\u4e0b\u95ee\u9898\uff1a\u00a0<\/section>\n<section><\/section>\n<section>\u5de5\u5177\u4f7f\u7528\uff1a\u4e0e\u6807\u51c6\u8f6f\u4ef6\u5f00\u53d1\u4e00\u6837\uff0c\u5f00\u53d1\u4eba\u5458\u8d1f\u8d23\u5c06 LLM \u4e0e\u4ed6\u4eec\u6240\u9009\u62e9\u7684\u5de5\u5177\u548c\u670d\u52a1\u96c6\u6210\u3002\u4ed6\u4eec\u5e94\u4e3a\u81ea\u5df1\u7684\u4f7f\u7528\u6848\u4f8b\u5236\u5b9a\u660e\u786e\u7684\u653f\u7b56\uff0c\u5e76\u8bc4\u4f30\u6240\u4f7f\u7528\u7684\u7b2c\u4e09\u65b9\u670d\u52a1\u7684\u5b8c\u6574\u6027\uff0c\u4ee5\u4e86\u89e3\u4f7f\u7528\u6b64\u529f\u80fd\u65f6\u7684\u5b89\u5168\u548c\u5b89\u4fdd\u9650\u5236\u3002<\/section>\n<section><\/section>\n<section>\u591a\u8bed\u8a00\uff1aLama 3.1 \u9664\u82f1\u8bed\u5916\u8fd8\u652f\u6301 7 \u79cd\u8bed\u8a00\uff1a\u6cd5\u8bed\u3001\u5fb7\u8bed\u3001\u5370\u5730\u8bed\u3001\u610f\u5927\u5229\u8bed\u3001\u8461\u8404\u7259\u8bed\u3001\u897f\u73ed\u7259\u8bed\u548c\u6cf0\u8bed\u3002Llama \u53ef\u80fd\u53ef\u4ee5\u8f93\u51fa\u5176\u4ed6\u8bed\u8a00\u7684\u6587\u672c\uff0c\u4f46\u8fd9\u4e9b\u6587\u672c\u53ef\u80fd\u4e0d\u7b26\u5408\u5b89\u5168\u6027\u548c\u5e2e\u52a9\u6027\u6027\u80fd\u9608\u503c\u3002<\/section>\n<section><\/section>\n<section>Llama 3.1 \u7684\u6838\u5fc3\u4ef7\u503c\u89c2\u662f\u5f00\u653e\u3001\u5305\u5bb9\u548c\u4e50\u4e8e\u52a9\u4eba\u3002\u5b83\u65e8\u5728\u670d\u52a1\u4e8e\u6bcf\u4e2a\u4eba\uff0c\u5e76\u9002\u7528\u4e8e\u5404\u79cd\u4f7f\u7528\u60c5\u51b5\u3002\u56e0\u6b64\uff0cLlama 3.1 \u7684\u8bbe\u8ba1\u5b97\u65e8\u662f\u8ba9\u4e0d\u540c\u80cc\u666f\u3001\u7ecf\u5386\u548c\u89c2\u70b9\u7684\u4eba\u90fd\u80fd\u4f7f\u7528\u3002Llama 3.1 \u4ee5\u7528\u6237\u53ca\u5176\u9700\u6c42\u4e3a\u672c\uff0c\u6ca1\u6709\u63d2\u5165\u4e0d\u5fc5\u8981\u7684\u8bc4\u5224\u6216\u89c4\u8303\uff0c\u540c\u65f6\u4e5f\u53cd\u6620\u4e86\u8fd9\u6837\u4e00\u79cd\u8ba4\u8bc6\uff0c\u5373\u5373\u4f7f\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\u770b\u4f3c\u6709\u95ee\u9898\u7684\u5185\u5bb9\uff0c\u5728\u5176\u4ed6\u60c5\u51b5\u4e0b\u4e5f\u80fd\u8fbe\u5230\u6709\u4ef7\u503c\u7684\u76ee\u7684\u3002Llama 3.1 \u5c0a\u91cd\u6240\u6709\u7528\u6237\u7684\u5c0a\u4e25\u548c\u81ea\u4e3b\u6743\uff0c\u5c24\u5176\u662f\u5c0a\u91cd\u4e3a\u521b\u65b0\u548c\u8fdb\u6b65\u63d0\u4f9b\u52a8\u529b\u7684\u81ea\u7531\u601d\u60f3\u548c\u8868\u8fbe\u4ef7\u503c\u89c2\u3002<\/section>\n<section>\u00a0<\/section>\n<section>\u4f46 Llama 3.1 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