{"id":168,"date":"2024-07-24T11:24:55","date_gmt":"2024-07-24T03:24:55","guid":{"rendered":"https:\/\/www.onetts.com\/ai\/?p=168"},"modified":"2024-08-01T22:51:26","modified_gmt":"2024-08-01T14:51:26","slug":"llama3-1-405b","status":"publish","type":"post","link":"https:\/\/www.onetts.com\/ai\/models\/llama3-1-405b\/","title":{"rendered":"Llama3.1-405B"},"content":{"rendered":"<p><strong>Llama 3.1-405B<\/strong> \u662f Meta \u516c\u53f8\u63a8\u51fa\u7684\u4e00\u6b3e\u5927\u578b\u591a\u8bed\u8a00\u9884\u8bad\u7ec3\u8bed\u8a00\u6a21\u578b\uff0c\u5c5e\u4e8e Llama 3.1 \u7cfb\u5217\u3002\u8be5\u6a21\u578b\u62e5\u6709 4050 \u4ebf\u4e2a\u53c2\u6570\uff0c\u662f\u76ee\u524d\u6700\u5927\u7684\u5f00\u6e90\u8bed\u8a00\u6a21\u578b\u4e4b\u4e00\u3002Llama 3.1-405B \u65e8\u5728\u63d0\u4f9b\u66f4\u5f3a\u5927\u7684\u8bed\u8a00\u7406\u89e3\u548c\u751f\u6210\u80fd\u529b\uff0c\u652f\u6301\u591a\u79cd\u8bed\u8a00\uff0c\u5e76\u5728\u591a\u4e2a\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u8868\u73b0\u51fa\u8272\u3002<\/p>\n<h4>\u7279\u70b9<\/h4>\n<ul>\n<li><strong>\u591a\u8bed\u8a00\u652f\u6301<\/strong>\uff1a\u9664\u4e86\u82f1\u8bed\uff0c\u8fd8\u5305\u62ec\u897f\u73ed\u7259\u8bed\u3001\u8461\u8404\u7259\u8bed\u3001\u610f\u5927\u5229\u8bed\u3001\u5fb7\u8bed\u548c\u6cf0\u8bed\u7b49\u3002<\/li>\n<li><strong>\u957f\u4e0a\u4e0b\u6587\u7a97\u53e3<\/strong>\uff1a\u6269\u5c55\u5230 128,000 \u4e2a token\uff0c\u76f8\u5f53\u4e8e\u7ea6 85,000 \u4e2a\u5355\u8bcd\uff0c\u663e\u8457\u63d0\u5347\u4e86\u6a21\u578b\u5904\u7406\u957f\u6587\u672c\u7684\u80fd\u529b\u3002<\/li>\n<li><strong>\u5b89\u5168\u6027\u548c\u5b89\u5168\u6027\u63aa\u65bd<\/strong>\uff1a\u5305\u62ec Prompt Guard \u548c CodeShield \u7b49\uff0c\u786e\u4fdd\u6a21\u578b\u751f\u6210\u7684\u5185\u5bb9\u5b89\u5168\u3002<\/li>\n<\/ul>\n<h2>\u6a21\u578b\u8bc4\u6d4b<\/h2>\n<p>Llama 3.1-405B \u5728\u591a\u4e2a\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u5c55\u793a\u4e86\u5176\u5353\u8d8a\u7684\u6027\u80fd\uff0c\u4e0e\u5176\u4ed6\u9886\u5148\u7684\u8bed\u8a00\u6a21\u578b\u76f8\u6bd4\uff0c\u5177\u6709\u7ade\u4e89\u529b\u3002<\/p>\n<h4>\u57fa\u51c6\u6d4b\u8bd5\u7ed3\u679c<\/h4>\n<ul>\n<li><strong>\u672c\u79d1\u6c34\u5e73\u77e5\u8bc6 (MMLU, 5-shot)<\/strong>\uff1a\u5f97\u5206 87.3%\uff0c\u4e0e OpenAI \u7684 GPT-4-Turbo\u3001Anthropic \u7684 Claude 3 Opus \u76f8\u5f53\u3002<\/li>\n<li><strong>\u7814\u7a76\u751f\u6c34\u5e73\u63a8\u7406 (GPQA, 0-shot)<\/strong>\uff1a\u5f97\u5206 50.7%\uff0c\u4e0e Claude 3 Opus \u76f8\u5f53\uff0c\u8d85\u8fc7 GPT-4T\u3002<\/li>\n<li><strong>\u6570\u5b66\u95ee\u9898\u89e3\u51b3 (MATH, 0-shot CoT)<\/strong>\uff1a\u5f97\u5206 73.8%\uff0c\u4ec5\u6b21\u4e8e GPT-4o\u3002<\/li>\n<li><strong>\u9605\u8bfb\u7406\u89e3 (DROP, F1)<\/strong>\uff1a\u57fa\u7840\u9884\u8bad\u7ec3\u6a21\u578b\u5f97\u5206 84.8%\uff0c\u8d85\u8fc7 GPT-4o \u548c Claude 3 Opus\u3002<\/li>\n<li><strong>\u77e5\u8bc6\u95ee\u7b54 (ARC-Challenge, 25-shot)<\/strong>\uff1a\u9884\u8bad\u7ec3 Llama 400B+ \u5f97\u5206 96.1%\uff0c\u4e0e GPT-4 \u548c Claude 3 Opus \u76f8\u5f53\u3002<\/li>\n<li><strong>\u4ee3\u7801\u80fd\u529b (HumanEval, 0-shot)<\/strong>\uff1a\u6307\u4ee4\u8c03\u6574\u6a21\u578b\u5f97\u5206 89.0%\uff0c\u63a5\u8fd1\u6700\u4f73\u3002<\/li>\n<\/ul>\n<h2>\u90e8\u7f72\u4f7f\u7528<\/h2>\n<h3>\u90e8\u7f72\u6b65\u9aa4<\/h3>\n<ol>\n<li><strong>\u4e0b\u8f7d\u6a21\u578b<\/strong>\uff1a\u8bbf\u95ee<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https:\/\/llama.meta.com\/\">Llama3.1\u7684\u5b98\u65b9\u7f51\u7ad9<\/a>\uff0c\u4e0b\u8f7d405B\u7248\u672c\u7684\u6a21\u578b\u6587\u4ef6\u3002<\/li>\n<li><strong>\u73af\u5883\u914d\u7f6e<\/strong>\uff1a\u786e\u4fdd\u90e8\u7f72\u73af\u5883\u6ee1\u8db3\u6a21\u578b\u8fd0\u884c\u7684\u786c\u4ef6\u548c\u8f6f\u4ef6\u8981\u6c42\uff0c\u5305\u62ec\u4f46\u4e0d\u9650\u4e8e\u9ad8\u6027\u80fdGPU\u548c\u76f8\u5e94\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u3002<\/li>\n<li><strong>\u6a21\u578b\u52a0\u8f7d<\/strong>\uff1a\u4f7f\u7528\u9002\u5f53\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u52a0\u8f7d\u6a21\u578b\u6587\u4ef6\uff0c\u8fdb\u884c\u5fc5\u8981\u7684\u9884\u5904\u7406\u3002<\/li>\n<li><strong>\u6570\u636e\u51c6\u5907<\/strong>\uff1a\u6839\u636e\u5e94\u7528\u573a\u666f\u51c6\u5907\u8f93\u5165\u6570\u636e\uff0c\u786e\u4fdd\u6570\u636e\u683c\u5f0f\u4e0e\u6a21\u578b\u8981\u6c42\u4e00\u81f4\u3002<\/li>\n<li><strong>\u6a21\u578b\u8bad\u7ec3\/\u5fae\u8c03<\/strong>\uff1a\u5982\u679c\u9700\u8981\uff0c\u5bf9\u6a21\u578b\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u8bad\u7ec3\u6216\u5fae\u8c03\u4ee5\u9002\u5e94\u7279\u5b9a\u4efb\u52a1\u3002<\/li>\n<li><strong>\u63a8\u7406\u6267\u884c<\/strong>\uff1a\u6267\u884c\u6a21\u578b\u63a8\u7406\uff0c\u83b7\u53d6\u6a21\u578b\u8f93\u51fa\u7ed3\u679c\u3002<\/li>\n<li><strong>\u7ed3\u679c\u5206\u6790<\/strong>\uff1a\u5206\u6790\u6a21\u578b\u8f93\u51fa\uff0c\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u548c\u5e94\u7528\u6548\u679c\u3002<\/li>\n<\/ol>\n<h2>\u5e38\u89c1\u95ee\u9898<\/h2>\n<p><strong>Q: \u5982\u4f55\u786e\u4fdd\u6a21\u578b\u90e8\u7f72\u73af\u5883\u7684\u517c\u5bb9\u6027\uff1f<\/strong><\/p>\n<p>A: \u68c0\u67e5\u7cfb\u7edf\u662f\u5426\u5b89\u88c5\u4e86\u6240\u6709\u5fc5\u8981\u7684\u4f9d\u8d56\u9879\uff0c\u5305\u62ec\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u548cCUDA\u7b49\u3002<\/p>\n<p><strong>Q: \u6a21\u578b\u8bad\u7ec3\u6216\u5fae\u8c03\u9700\u8981\u591a\u957f\u65f6\u95f4\uff1f<\/strong><\/p>\n<p>A: \u8fd9\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u4efb\u52a1\u3001\u6570\u636e\u96c6\u5927\u5c0f\u548c\u8ba1\u7b97\u8d44\u6e90\u3002\u901a\u5e38\uff0c\u66f4\u5927\u7684\u6a21\u578b\u548c\u6570\u636e\u96c6\u9700\u8981\u66f4\u957f\u7684\u65f6\u95f4\u3002<\/p>\n<p><strong>Q: \u5982\u4f55\u5904\u7406\u6a21\u578b\u8f93\u51fa\u4ee5\u83b7\u5f97\u6700\u4f73\u7ed3\u679c\uff1f<\/strong><\/p>\n<p>A: \u6839\u636e\u5e94\u7528\u573a\u666f\u5bf9\u6a21\u578b\u8f93\u51fa\u8fdb\u884c\u9002\u5f53\u7684\u540e\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<h2>\u76f8\u5173\u8d44\u6e90<\/h2>\n<ul>\n<li><strong>Llama3.1\u5b98\u65b9\u7f51\u7ad9<\/strong>\uff1a<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https:\/\/llama.meta.com\/\" target=\"_blank\" rel=\"noopener\">Llama3.1 Official Website<\/a><\/li>\n<li><strong>\u6a21\u578b\u4e0b\u8f7d\u94fe\u63a5<\/strong>\uff1a\u53ef\u901a\u8fc7\u5b98\u65b9\u7f51\u7ad9\u6216<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https:\/\/huggingface.co\/collections\/meta-llama\/llama-31-669fc079a0c406a149a5738f\">huggingface<\/a>\u4e0b\u8f7d\u6a21\u578b\u6587\u4ef6\u3002<\/li>\n<li><strong>\u8bba\u6587\u548c\u6587\u6863<\/strong>\uff1a\u8be6\u7ec6\u7684\u8bba\u6587\u548c\u6587\u6863\u53ef\u4ee5\u5728<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https:\/\/ai.meta.com\/research\/publications\/the-llama-3-herd-of-models\/\">\u5b98\u65b9\u7f51\u7ad9<\/a>\u627e\u5230\u3002<\/li>\n<\/ul>\n<h3>\u7ed3\u8bed<\/h3>\n<p class=\"last-node\">Llama3.1-405B\u7684\u53d1\u5e03\u4e0d\u4ec5\u662f\u5f00\u6e90AI\u9886\u57df\u7684\u4e00\u4e2a\u91cd\u8981\u91cc\u7a0b\u7891\uff0c\u4e5f\u4e3aAI\u6280\u672f\u7684\u8fdb\u4e00\u6b65\u53d1\u5c55\u548c\u5e94\u7528\u5f00\u8f9f\u4e86\u65b0\u7684\u53ef\u80fd\u6027\u3002\u968f\u7740\u5f00\u6e90AI\u6a21\u578b\u7684\u4e0d\u65ad\u53d1\u5c55\u548c\u5b8c\u5584\uff0c\u671f\u5f85\u770b\u5230\u66f4\u591a\u7684\u521b\u65b0\u548c\u7a81\u7834\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Llama 3.1-405B \u662f Meta \u516c\u53f8\u63a8\u51fa\u7684\u4e00\u6b3e\u5927\u578b\u591a\u8bed\u8a00\u9884\u8bad\u7ec3\u8bed\u8a00\u6a21\u578b\uff0c\u5c5e\u4e8e Llama 3.1 \u7cfb\u5217\u3002\u8be5\u6a21\u578b\u62e5\u6709 4050 \u4ebf\u4e2a\u53c2\u6570\uff0c\u662f\u76ee\u524d\u6700\u5927\u7684\u5f00\u6e90\u8bed\u8a00\u6a21\u578b\u4e4b\u4e00\u3002Llama 3.1-405B \u65e8\u5728\u63d0\u4f9b\u66f4\u5f3a\u5927\u7684\u8bed\u8a00\u7406\u89e3\u548c\u751f\u6210\u80fd\u529b\uff0c\u652f\u6301\u591a\u79cd\u8bed\u8a00\uff0c\u5e76\u5728\u591a\u4e2a\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u8868\u73b0\u51fa\u8272\u3002 \u7279\u70b9 \u591a\u8bed\u8a00\u652f\u6301\uff1a\u9664\u4e86\u82f1\u8bed\uff0c\u8fd8\u5305\u62ec\u897f\u73ed\u7259\u8bed\u3001\u8461\u8404\u7259\u8bed\u3001\u610f\u5927\u5229\u8bed\u3001\u5fb7\u8bed\u548c\u6cf0\u8bed\u7b49\u3002 \u957f\u4e0a\u4e0b\u6587\u7a97\u53e3\uff1a\u6269\u5c55\u5230 128,000 \u4e2a token\uff0c\u76f8\u5f53\u4e8e\u7ea6 85,000 \u4e2a\u5355\u8bcd\uff0c\u663e\u8457\u63d0\u5347\u4e86\u6a21\u578b\u5904\u7406\u957f\u6587\u672c\u7684\u80fd\u529b\u3002 \u5b89\u5168\u6027\u548c\u5b89\u5168\u6027\u63aa\u65bd\uff1a\u5305\u62ec Pro<\/p>\n","protected":false},"author":1,"featured_media":169,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"collection":[51],"company":[38],"rank":[55],"class_list":["post-168","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-llm","collection-llama3-1","company-meta","rank-lmsys-chatbot-arena-leaderboard"],"_links":{"self":[{"href":"https:\/\/www.onetts.com\/ai\/wp-json\/wp\/v2\/posts\/168","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.onetts.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.onetts.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.onetts.com\/ai\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.onetts.com\/ai\/wp-json\/wp\/v2\/comments?post=168"}],"version-history":[{"count":1,"href":"https:\/\/www.onetts.com\/ai\/wp-json\/wp\/v2\/posts\/168\/revisions"}],"predecessor-version":[{"id":170,"href":"https:\/\/www.onetts.com\/ai\/wp-json\/wp\/v2\/posts\/168\/revisions\/170"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.onetts.com\/ai\/wp-json\/wp\/v2\/media\/169"}],"wp:attachment":[{"href":"https:\/\/www.onetts.com\/ai\/wp-json\/wp\/v2\/media?parent=168"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.onetts.com\/ai\/wp-json\/wp\/v2\/categories?post=168"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.onetts.com\/ai\/wp-json\/wp\/v2\/tags?post=168"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.onetts.com\/ai\/wp-json\/wp\/v2\/collection?post=168"},{"taxonomy":"company","embeddable":true,"href":"https:\/\/www.onetts.com\/ai\/wp-json\/wp\/v2\/company?post=168"},{"taxonomy":"rank","embeddable":true,"href":"https:\/\/www.onetts.com\/ai\/wp-json\/wp\/v2\/rank?post=168"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}