{"id":333,"date":"2024-09-20T13:48:53","date_gmt":"2024-09-20T05:48:53","guid":{"rendered":"https:\/\/ai.oaido.com\/?p=333"},"modified":"2024-09-20T13:48:54","modified_gmt":"2024-09-20T05:48:54","slug":"%e5%be%ae%e8%bd%af%e7%9a%84-grin-moe-ai-%e6%a8%a1%e5%9e%8b%e9%87%87%e7%94%a8%e7%bc%96%e7%a0%81%e5%92%8c%e6%95%b0%e5%ad%a6%ef%bc%8c%e5%9c%a8%e5%85%b3%e9%94%ae%e5%9f%ba%e5%87%86%e6%b5%8b%e8%af%95","status":"publish","type":"post","link":"https:\/\/ai.oaido.com\/index.php\/2024\/09\/20\/%e5%be%ae%e8%bd%af%e7%9a%84-grin-moe-ai-%e6%a8%a1%e5%9e%8b%e9%87%87%e7%94%a8%e7%bc%96%e7%a0%81%e5%92%8c%e6%95%b0%e5%ad%a6%ef%bc%8c%e5%9c%a8%e5%85%b3%e9%94%ae%e5%9f%ba%e5%87%86%e6%b5%8b%e8%af%95\/","title":{"rendered":"\u5fae\u8f6f\u7684 GRIN-MoE AI \u6a21\u578b\u91c7\u7528\u7f16\u7801\u548c\u6570\u5b66\uff0c\u5728\u5173\u952e\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u51fb\u8d25\u7ade\u4e89\u5bf9\u624b"},"content":{"rendered":"\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/\">\u5fae\u8f6f<\/a>\u63a8\u51fa\u4e86\u4e00\u79cd\u7a81\u7834\u6027\u7684\u4eba\u5de5\u667a\u80fd\u6a21\u578b<a href=\"https:\/\/github.com\/microsoft\/GRIN-MoE\">GRIN-MoE<\/a>\uff08\u68af\u5ea6\u77e5\u60c5\u6df7\u5408\u4e13\u5bb6\u6a21\u578b\uff09\uff0c\u65e8\u5728\u63d0\u9ad8\u7f16\u7801\u548c\u6570\u5b66\u7b49\u590d\u6742\u4efb\u52a1\u7684\u53ef\u6269\u5c55\u6027\u548c\u6027\u80fd\u3002\u8be5\u6a21\u578b\u6709\u671b\u901a\u8fc7\u4e00\u6b21\u9009\u62e9\u6027\u5730\u6fc0\u6d3b\u4e00\u5c0f\u90e8\u5206\u53c2\u6570\u6765\u91cd\u5851\u4f01\u4e1a\u5e94\u7528\u7a0b\u5e8f\uff0c\u4f7f\u5176\u65e2\u9ad8\u6548\u53c8\u5f3a\u5927\u3002<\/p>\n\n\n\n<p>GRIN-MoE \u5728\u7814\u7a76\u8bba\u6587\u201c&nbsp;<a href=\"https:\/\/arxiv.org\/pdf\/2409.12136\" target=\"_blank\" rel=\"noreferrer noopener\">GRIN\uff1a\u57fa\u4e8e\u68af\u5ea6\u7684 MoE<\/a>&nbsp;\u201d\u4e2d\u8fdb\u884c\u4e86\u8be6\u7ec6\u4ecb\u7ecd\uff0c\u5b83\u4f7f\u7528\u4e86\u4e00\u79cd\u65b0\u9896\u7684\u6df7\u5408\u4e13\u5bb6 (MoE) \u67b6\u6784\u65b9\u6cd5\u3002\u901a\u8fc7\u5c06\u4efb\u52a1\u5206\u914d\u7ed9\u6a21\u578b\u4e2d\u7684\u4e13\u95e8\u201c\u4e13\u5bb6\u201d\uff0cGRIN \u5b9e\u73b0\u4e86\u7a00\u758f\u8ba1\u7b97\uff0c\u4f7f\u5176\u80fd\u591f\u5229\u7528\u66f4\u5c11\u7684\u8d44\u6e90\uff0c\u540c\u65f6\u63d0\u4f9b\u9ad8\u7aef\u6027\u80fd\u3002\u8be5\u6a21\u578b\u7684\u5173\u952e\u521b\u65b0\u5728\u4e8e\u4f7f\u7528<a href=\"https:\/\/github.com\/microsoft\/SparseMixer\">SparseMixer-v2<\/a>\u6765\u4f30\u8ba1\u4e13\u5bb6\u8def\u7531\u7684\u68af\u5ea6\uff0c\u8fd9\u79cd\u65b9\u6cd5\u5927\u5927\u6539\u8fdb\u4e86\u4f20\u7edf\u505a\u6cd5\u3002<\/p>\n\n\n\n<p>\u7814\u7a76\u4eba\u5458\u89e3\u91ca\u9053\uff1a\u201c\u8be5\u6a21\u578b\u907f\u5f00\u4e86 MoE \u67b6\u6784\u7684\u4e3b\u8981\u6311\u6218\u4e4b\u4e00\uff1a\u7531\u4e8e\u4e13\u5bb6\u8def\u7531\u7684\u79bb\u6563\u6027\uff0c\u4f20\u7edf\u7684\u57fa\u4e8e\u68af\u5ea6\u7684\u4f18\u5316\u975e\u5e38\u56f0\u96be\u3002\u201dGRIN MoE \u7684\u67b6\u6784\u62e5\u6709 16\u00d738 \u4ebf\u4e2a\u53c2\u6570\uff0c\u5728\u63a8\u7406\u8fc7\u7a0b\u4e2d\u4ec5\u6fc0\u6d3b 66 \u4ebf\u4e2a\u53c2\u6570\uff0c\u4ece\u800c\u5b9e\u73b0\u4e86\u8ba1\u7b97\u6548\u7387\u548c\u4efb\u52a1\u6027\u80fd\u4e4b\u95f4\u7684\u5e73\u8861\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-grin-moe-outperforms-competitors-in-ai-benchmarks\"><strong>GRIN-MoE \u5728 AI \u57fa\u51c6\u6d4b\u8bd5\u4e2d\u8d85\u8d8a\u7ade\u4e89\u5bf9\u624b<\/strong><\/h2>\n\n\n\n<p>\u5728\u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0c\u5fae\u8f6f\u7684 GRIN MoE \u8868\u73b0\u51fa\u8272\uff0c\u8d85\u8d8a\u4e86\u7c7b\u4f3c\u6216\u66f4\u5927\u89c4\u6a21\u7684\u6a21\u578b\u3002\u5b83\u5728<a href=\"https:\/\/paperswithcode.com\/sota\/multi-task-language-understanding-on-mmlu\" target=\"_blank\" rel=\"noreferrer noopener\">MMLU<\/a>\uff08\u5927\u89c4\u6a21\u591a\u4efb\u52a1\u8bed\u8a00\u7406\u89e3\uff09\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u83b7\u5f97\u4e86 79.4 \u5206\uff0c\u5728\u6570\u5b66\u95ee\u9898\u89e3\u51b3\u80fd\u529b\u6d4b\u8bd5GSM-8K\u4e2d\u83b7\u5f97\u4e86 90.4 \u5206\u3002\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u8be5\u6a21\u578b\u5728\u7f16\u7801\u4efb\u52a1\u57fa\u51c6\u6d4b\u8bd5<a href=\"https:\/\/paperswithcode.com\/sota\/code-generation-on-humaneval\" target=\"_blank\" rel=\"noreferrer noopener\">HumanEval<\/a>\u4e2d\u83b7\u5f97\u4e86 74.4 \u5206\uff0c\u8d85\u8fc7\u4e86<a href=\"https:\/\/platform.openai.com\/docs\/models\" target=\"_blank\" rel=\"noreferrer noopener\">GPT-3.5-turbo<\/a>\u7b49\u70ed\u95e8\u6a21\u578b\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/huggingface.co\/mistralai\/Mixtral-8x7B-v0.1\">GRIN MoE \u7684\u8868\u73b0\u4f18\u4e8eMixtral (8x7B)<\/a>\u548c<a href=\"https:\/\/huggingface.co\/microsoft\/Phi-3.5-MoE-instruct\">Phi-3.5-MoE (16\u00d73.8B)<\/a>\u7b49\u540c\u7c7b\u6a21\u578b\uff0c\u540e\u4e24\u8005\u5728 MMLU \u4e0a\u7684\u5f97\u5206\u5206\u522b\u4e3a 70.5 \u548c 78.9\u3002\u8bba\u6587\u6307\u51fa\uff1a\u201cGRIN MoE \u7684\u8868\u73b0\u4f18\u4e8e 7B \u5bc6\u96c6\u6a21\u578b\uff0c\u5e76\u4e14\u53ef\u4e0e\u5728\u76f8\u540c\u6570\u636e\u4e0a\u8bad\u7ec3\u7684 14B \u5bc6\u96c6\u6a21\u578b\u7684\u6027\u80fd\u76f8\u5ab2\u7f8e\u3002\u201d&nbsp;<\/p>\n\n\n\n<p>\u5bf9\u4e8e\u5bfb\u6c42\u5728 AI \u5e94\u7528\u4e2d\u5e73\u8861\u6548\u7387\u548c\u529f\u80fd\u7684\u4f01\u4e1a\u6765\u8bf4\uff0c\u8fd9\u79cd\u6027\u80fd\u6c34\u5e73\u5c24\u4e3a\u91cd\u8981\u3002GRIN \u65e0\u9700\u4e13\u5bb6\u5e76\u884c\u6216\u4ee4\u724c\u4e22\u5f03\uff08\u4e24\u79cd\u7528\u4e8e\u7ba1\u7406\u5927\u578b\u6a21\u578b\u7684\u5e38\u7528\u6280\u672f\uff09\u5373\u53ef\u6269\u5c55\uff0c\u8fd9\u4f7f\u5176\u6210\u4e3a\u53ef\u80fd\u6ca1\u6709\u57fa\u7840\u8bbe\u65bd\u6765\u652f\u6301\u66f4\u5927\u6a21\u578b\uff08\u5982 OpenAI \u7684<a href=\"https:\/\/openai.com\/index\/hello-gpt-4o\/\" target=\"_blank\" rel=\"noreferrer noopener\">GPT-4o<\/a>\u6216 Meta \u7684<a href=\"https:\/\/ai.meta.com\/blog\/meta-llama-3-1\/\" target=\"_blank\" rel=\"noreferrer noopener\">LLaMA 3.1\uff09<\/a>\u7684\u7ec4\u7ec7\u66f4\u6613\u4e8e\u8bbf\u95ee\u7684\u9009\u62e9\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"799\" height=\"459\" src=\"https:\/\/ai.oaido.com\/wp-content\/uploads\/2024\/09\/Screenshot-2024-09-19-at-10.56.38\u202fAM.webp\" alt=\"\" class=\"wp-image-335\" srcset=\"https:\/\/ai.oaido.com\/wp-content\/uploads\/2024\/09\/Screenshot-2024-09-19-at-10.56.38\u202fAM.webp 799w, https:\/\/ai.oaido.com\/wp-content\/uploads\/2024\/09\/Screenshot-2024-09-19-at-10.56.38\u202fAM-300x172.webp 300w, https:\/\/ai.oaido.com\/wp-content\/uploads\/2024\/09\/Screenshot-2024-09-19-at-10.56.38\u202fAM-768x441.webp 768w\" sizes=\"auto, (max-width: 799px) 100vw, 799px\" \/><figcaption class=\"wp-element-caption\">GRIN MoE \u662f\u5fae\u8f6f\u7684\u65b0 AI \u6a21\u578b\uff0c\u4ec5\u4f7f\u7528 66 \u4ebf\u4e2a\u6fc0\u6d3b\u53c2\u6570\uff0c\u5728 MMLU \u57fa\u51c6\u4e0a\u5c31\u53d6\u5f97\u4e86\u4f18\u5f02\u7684\u8868\u73b0\uff0c\u8d85\u8d8a\u4e86 Mixtral \u548c LLaMA 3 70B \u7b49\u540c\u7c7b\u6a21\u578b\u3002\u8be5\u6a21\u578b\u7684\u67b6\u6784\u5728\u8ba1\u7b97\u6548\u7387\u548c\u4efb\u52a1\u6027\u80fd\u4e4b\u95f4\u5b9e\u73b0\u4e86\u5e73\u8861\uff0c\u5c24\u5176\u662f\u5728\u7f16\u7801\u548c\u6570\u5b66\u7b49\u63a8\u7406\u5bc6\u96c6\u578b\u4efb\u52a1\u4e2d\u3002\uff08\u6765\u6e90\uff1aarXiv.org\uff09<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-ai-for-enterprise-how-grin-moe-boosts-efficiency-in-coding-and-math\"><strong>\u4f01\u4e1a AI\uff1aGRIN-MoE \u5982\u4f55\u63d0\u9ad8\u7f16\u7801\u548c\u6570\u5b66\u6548\u7387<\/strong><\/h2>\n\n\n\n<p>GRIN MoE \u7684\u591a\u529f\u80fd\u6027\u4f7f\u5176\u975e\u5e38\u9002\u5408\u9700\u8981\u5f3a\u5927\u63a8\u7406\u80fd\u529b\u7684\u884c\u4e1a\uff0c\u4f8b\u5982\u91d1\u878d\u670d\u52a1\u3001\u533b\u7597\u4fdd\u5065\u548c\u5236\u9020\u4e1a\u3002\u5176\u67b6\u6784\u65e8\u5728\u5904\u7406\u5185\u5b58\u548c\u8ba1\u7b97\u9650\u5236\uff0c\u4ece\u800c\u89e3\u51b3\u4f01\u4e1a\u9762\u4e34\u7684\u4e00\u4e2a\u5173\u952e\u6311\u6218\u3002&nbsp;<\/p>\n\n\n\n<p>\u8be5\u6a21\u578b\u80fd\u591f\u201c\u5728\u4e0d\u8fdb\u884c\u4e13\u5bb6\u5e76\u884c\u6216\u4e22\u5f03\u4ee4\u724c\u7684\u60c5\u51b5\u4e0b\u6269\u5c55 MoE \u8bad\u7ec3\u201d\uff0c\u4ece\u800c\u5728\u6570\u636e\u4e2d\u5fc3\u5bb9\u91cf\u53d7\u9650\u7684\u73af\u5883\u4e2d\u66f4\u6709\u6548\u5730\u5229\u7528\u8d44\u6e90\u3002\u6b64\u5916\uff0c\u5b83\u5728\u7f16\u7801\u4efb\u52a1\u4e0a\u7684\u8868\u73b0\u4e5f\u662f\u4e00\u5927\u4eae\u70b9\u3002GRIN MoE \u5728 HumanEval \u7f16\u7801\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u83b7\u5f97\u4e86 74.4 \u5206\uff0c\u5c55\u793a\u4e86\u5176\u52a0\u901f AI \u5728\u4f01\u4e1a\u5de5\u4f5c\u6d41\u7a0b\u4e2d\u81ea\u52a8\u7f16\u7801\u3001\u4ee3\u7801\u5ba1\u67e5\u548c\u8c03\u8bd5\u7b49\u4efb\u52a1\u4e2d\u7684\u5e94\u7528\u7684\u6f5c\u529b\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"799\" height=\"595\" src=\"https:\/\/ai.oaido.com\/wp-content\/uploads\/2024\/09\/Screenshot-2024-09-19-at-10.59.55\u202fAM.webp\" alt=\"\" class=\"wp-image-334\" srcset=\"https:\/\/ai.oaido.com\/wp-content\/uploads\/2024\/09\/Screenshot-2024-09-19-at-10.59.55\u202fAM.webp 799w, https:\/\/ai.oaido.com\/wp-content\/uploads\/2024\/09\/Screenshot-2024-09-19-at-10.59.55\u202fAM-300x223.webp 300w, https:\/\/ai.oaido.com\/wp-content\/uploads\/2024\/09\/Screenshot-2024-09-19-at-10.59.55\u202fAM-768x572.webp 768w\" sizes=\"auto, (max-width: 799px) 100vw, 799px\" \/><figcaption class=\"wp-element-caption\">\u5728\u57fa\u4e8e 2024 \u5e74\u9ad8\u8003\u6570\u5b66-1 \u8003\u8bd5\u7684\u6570\u5b66\u63a8\u7406\u6d4b\u8bd5\u4e2d\uff0c\u5fae\u8f6f\u7684 GRIN MoE\uff0816\u00d73.8B\uff09\u8d85\u8d8a\u4e86\u5305\u62ec GPT-3.5 \u548c LLaMA3 70B \u5728\u5185\u7684\u51e0\u79cd\u9886\u5148\u7684 AI \u6a21\u578b\uff0c\u5f97\u5206\u4e3a 46 \u5206\uff08\u6ee1\u5206 73 \u5206\uff09\u3002\u8be5\u6a21\u578b\u5728\u5904\u7406\u590d\u6742\u6570\u5b66\u95ee\u9898\u65b9\u9762\u8868\u73b0\u51fa\u5de8\u5927\u6f5c\u529b\uff0c\u4ec5\u6b21\u4e8e GPT-4o \u548c Gemini Ultra-1.0\u3002\uff08\u6765\u6e90\uff1aarXiv.org\uff09<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-grin-moe-faces-challenges-in-multilingual-and-conversational-ai\"><strong>GRIN-MoE \u5728\u591a\u8bed\u8a00\u548c\u5bf9\u8bdd\u5f0f AI \u65b9\u9762\u9762\u4e34\u6311\u6218<\/strong><\/h2>\n\n\n\n<p>\u5c3d\u7ba1 GRIN MoE \u7684\u8868\u73b0\u4ee4\u4eba\u5370\u8c61\u6df1\u523b\uff0c\u4f46\u5b83\u4e5f\u6709\u5c40\u9650\u6027\u3002\u8be5\u6a21\u578b\u4e3b\u8981\u9488\u5bf9\u82f1\u8bed\u4efb\u52a1\u8fdb\u884c\u4e86\u4f18\u5316\uff0c\u8fd9\u610f\u5473\u7740\u5f53\u5e94\u7528\u4e8e\u8bad\u7ec3\u6570\u636e\u4e2d\u4ee3\u8868\u6027\u4e0d\u8db3\u7684\u5176\u4ed6\u8bed\u8a00\u6216\u65b9\u8a00\u65f6\uff0c\u5176\u6709\u6548\u6027\u53ef\u80fd\u4f1a\u964d\u4f4e\u3002\u7814\u7a76\u627f\u8ba4\uff0c\u201cGRIN MoE \u4e3b\u8981\u9488\u5bf9\u82f1\u8bed\u6587\u672c\u8fdb\u884c\u8bad\u7ec3\u201d\uff0c\u8fd9\u53ef\u80fd\u4f1a\u7ed9\u5728\u591a\u8bed\u8a00\u73af\u5883\u4e2d\u8fd0\u8425\u7684\u7ec4\u7ec7\u5e26\u6765\u6311\u6218\u3002<\/p>\n\n\n\n<p>\u6b64\u5916\uff0c\u867d\u7136 GRIN MoE \u5728\u63a8\u7406\u5bc6\u96c6\u578b\u4efb\u52a1\u4e2d\u8868\u73b0\u51fa\u8272\uff0c\u4f46\u5b83\u5728\u5bf9\u8bdd\u4e0a\u4e0b\u6587\u6216\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u4e2d\u53ef\u80fd\u8868\u73b0\u4e0d\u4f73\u3002\u7814\u7a76\u4eba\u5458\u627f\u8ba4\uff0c\u201c\u6211\u4eec\u89c2\u5bdf\u5230\u8be5\u6a21\u578b\u5728\u81ea\u7136\u8bed\u8a00\u4efb\u52a1\u4e2d\u7684\u8868\u73b0\u5e76\u4e0d\u7406\u60f3\u201d\uff0c\u8fd9\u5f52\u56e0\u4e8e\u8be5\u6a21\u578b\u7684\u8bad\u7ec3\u91cd\u70b9\u662f\u63a8\u7406\u548c\u7f16\u7801\u80fd\u529b\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-grin-moe-s-potential-to-transform-enterprise-ai-applications\"><strong>GRIN-MoE \u8f6c\u53d8\u4f01\u4e1a AI \u5e94\u7528\u7684\u6f5c\u529b<\/strong><\/h2>\n\n\n\n<p>\u5fae\u8f6f\u7684 GRIN-MoE 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