{"id":34390,"date":"2024-12-05T15:56:25","date_gmt":"2024-12-05T07:56:25","guid":{"rendered":"https:\/\/17aitech.com\/?p=34390"},"modified":"2024-12-05T15:56:25","modified_gmt":"2024-12-05T07:56:25","slug":"icml-2024%e9%ab%98%e5%88%86%e8%ae%ba%e6%96%87-%e9%9b%b6%e9%98%b6%e4%bc%98%e5%8c%96%e5%99%a8%e5%be%ae%e8%b0%83%e5%a4%a7%e6%a8%a1%e5%9e%8b%ef%bc%8c%e5%a4%a7%e5%b9%85%e9%99%8d%e4%bd%8e%e5%86%85","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=34390","title":{"rendered":"ICML 2024\u9ad8\u5206\u8bba\u6587 | \u96f6\u9636\u4f18\u5316\u5668\u5fae\u8c03\u5927\u6a21\u578b\uff0c\u5927\u5e45\u964d\u4f4e\u5185\u5b58"},"content":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2024-07-04-8\" target=\"_blank\">ICML 2024\u9ad8\u5206\u8bba\u6587 | \u96f6\u9636\u4f18\u5316\u5668\u5fae\u8c03\u5927\u6a21\u578b\uff0c\u5927\u5e45\u964d\u4f4e\u5185\u5b58<\/a><\/p>\n<section><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-cca5169d038e367f81b49ffb93c2accf.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-cca5169d038e367f81b49ffb93c2accf.png\"><\/a><\/section>\n<blockquote data-author-name=\"\" data-content-utf8-length=\"166\" data-source-title=\"\" data-type=\"2\" data-url=\"\">\n<section>\n<section>AIxiv\u4e13\u680f\u662f<mark data-type=\"institutions\" data-id=\"9e96434f-5827-41e3-9b3c-36d39bc0d446\">\u673a\u5668\u4e4b\u5fc3<\/mark>\u53d1\u5e03\u5b66\u672f\u3001\u6280\u672f\u5185\u5bb9\u7684\u680f\u76ee\u3002\u8fc7\u53bb\u6570\u5e74\uff0c<mark data-type=\"institutions\" data-id=\"9e96434f-5827-41e3-9b3c-36d39bc0d446\">\u673a\u5668\u4e4b\u5fc3<\/mark>AIxiv\u4e13\u680f\u63a5\u6536\u62a5\u9053\u4e862000\u591a\u7bc7\u5185\u5bb9\uff0c\u8986\u76d6\u5168\u7403\u5404\u5927\u9ad8\u6821\u4e0e\u4f01\u4e1a\u7684\u9876\u7ea7\u5b9e\u9a8c\u5ba4\uff0c\u6709\u6548\u4fc3\u8fdb\u4e86\u5b66\u672f\u4ea4\u6d41\u4e0e\u4f20\u64ad\u3002\u5982\u679c\u60a8\u6709\u4f18\u79c0\u7684\u5de5\u4f5c\u60f3\u8981\u5206\u4eab\uff0c\u6b22\u8fce\u6295\u7a3f\u6216\u8005\u8054\u7cfb\u62a5\u9053\u3002\u6295\u7a3f\u90ae\u7bb1\uff1aliyazhou@jiqizhixin.com\uff1bzhaoyunfeng@jiqizhixin.com<\/section>\n<\/section>\n<\/blockquote>\n<p><strong>\u672c\u6587\u5171\u540c\u7b2c\u4e00\u4f5c\u8005\u7b80\u4ecb\uff1a\u5f20\u9038\u9a85\uff1a\u5bc6\u6b47\u6839\u5dde\u7acb\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u535a\u58eb\u4e09\u5e74\u7ea7\u5b66\u751f\uff0c\u5e08\u4eceSijia Liu\u6559\u6388\uff0c\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u662f\u5927\u6a21\u578b\u7684\u5b89\u5168\u3001\u9690\u79c1\u548c\u6548\u7387\u95ee\u9898\u3002\u674e\u5e73\u6cbb\uff1a\u672c\u79d1\u6bd5\u4e1a\u4e8e\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66\uff0c\u5c06\u4e8e2024 Fall\u535a\u58eb\u5165\u5b66\u5317\u5361\u7f57\u6765\u7eb3\u5927\u5b66\u6559\u5802\u5c71\u5206\u6821\uff0c\u5e08\u4ece\u9648\u5929\u9f99\u6559\u6388\uff0c\u4e3b\u8981\u7814\u7a76\u5174\u8da3\u96c6\u4e2d\u5728\u9ad8\u6548<mark data-type=\"tech_methods\" data-id=\"1a0e9c5e-6502-4cd7-8683-6b5ca6c48be2\">\u673a\u5668\u5b66\u4e60<\/mark>\u548cAI4Science\u9886\u57df\u3002\u6d2a\u9a8f\u8fdc\uff1a\u5fb7\u5dde\u5927\u5b66\u5965\u65af\u6c40\u5206\u6821\u535a\u540e\uff0c\u5bfc\u5e08\u662fZhangyang Wang\u6559\u6388\u3002\u535a\u58eb\u6bd5\u4e1a\u4e8e\u5bc6\u6b47\u6839\u5dde\u7acb\u5927\u5b66\uff0c\u5e08\u4eceJiayu Zhou\u6559\u6388\uff0c\u76ee\u524d\u4e3b\u8981\u7684\u7814\u7a76\u65b9\u5411\u662f\u53ef\u4fe1\u5927<mark data-type=\"tech_tasks\" data-id=\"fee178e8-ee20-42fc-8f8f-1d41c1f34e8f\">\u8bed\u8a00\u6a21\u578b<\/mark>\u548c<mark data-type=\"concepts\" data-id=\"2d28aa9c-942d-471d-bd96-8bfefb7144e0\">\u4eba\u5de5\u667a\u80fd<\/mark>\u7684\u533b\u7597\u5e94\u7528\u3002<mark data-type=\"experts\" data-id=\"4ae390cf-e2f4-4057-a758-2747f56d035d\">\u674e\u4f73<\/mark>\u7fd4\uff1a\u660e\u5c3c\u82cf\u8fbe\u5927\u5b66\u535a\u58eb\u540e\uff0c\u76ee\u524d\u5728\u6d2a\u660e\u6bc5\u6559\u6388\u548c\u5f20\u6811\u4e2d\u6559\u6388\u6307\u5bfc\u4e0b\u505a\u6570\u503c\u4f18\u5316\u7406\u8bba\u3001<mark data-type=\"tech_methods\" data-id=\"1a0e9c5e-6502-4cd7-8683-6b5ca6c48be2\">\u673a\u5668\u5b66\u4e60<\/mark>\u7406\u8bba\u548c\u5927\u89c4\u6a21<mark data-type=\"tech_methods\" data-id=\"1a0e9c5e-6502-4cd7-8683-6b5ca6c48be2\">\u673a\u5668\u5b66\u4e60<\/mark>\u4f18\u5316\u95ee\u9898\u7684\u7814\u7a76\u3002<\/strong><\/p>\n<section>\u5f00\u6e90\u5927<mark data-type=\"tech_tasks\" data-id=\"fee178e8-ee20-42fc-8f8f-1d41c1f34e8f\">\u8bed\u8a00\u6a21\u578b<\/mark>\uff08LLM\uff09\u767e\u82b1\u9f50\u653e\uff0c\u4e3a\u4e86\u8ba9\u5b83\u4eec\u9002\u5e94\u5404\u79cd\u4e0b\u6e38\u4efb\u52a1\uff0c\u5fae\u8c03\uff08fine-tuning\uff09\u662f\u6700\u5e7f\u6cdb\u91c7\u7528\u7684\u57fa\u672c\u65b9\u6cd5\u3002\u57fa\u4e8e\u81ea\u52a8\u5fae\u5206\u6280\u672f\uff08auto-differentiation\uff09\u7684\u4e00\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\uff08SGD\u3001Adam \u7b49\uff09\u867d\u7136\u5728\u6a21\u578b\u5fae\u8c03\u4e2d\u5360\u636e\u4e3b\u6d41\uff0c\u7136\u800c\u5728\u6a21\u578b\u8d8a\u6765\u8d8a\u5927\u7684\u4eca\u5929\uff0c\u5374\u5e26\u6765\u8d8a\u6765\u8d8a\u5927\u7684\u663e\u5b58\u538b\u529b\u3002\u56e0\u6b64\uff0c\u5982\u4f55\u9ad8\u6548\u5730\u5728\u5fae\u8c03\u4e2d\u964d\u4f4e\u663e\u5b58\u4f7f\u5f97\u5355\u5361\u53ef\u4ee5\u6ee1\u8db3\u5fae\u8c03\u9700\u6c42\u5df2\u7ecf\u6210\u4e3a\u4e00\u4e2a\u70ed\u95e8\u7814\u7a76\u95ee\u9898\u3002\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u867d\u7136\u53cd\u5411\u4f20\u64ad\u662f\u8fd9\u4e9b\u4e00\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u7684\u57fa\u77f3\uff0c\u88ab\u7528\u4e8e\u8ba1\u7b97<mark data-type=\"tech_methods\" data-id=\"72b0bcc0-d8f9-4edd-919f-fa7c2560388c\">\u795e\u7ecf\u7f51\u7edc<\/mark>\u6bcf\u4e2a<mark data-type=\"concepts\" data-id=\"149a12cf-10c2-4555-9899-cc6dee319ef5\">\u6743\u91cd<\/mark>\u7684\u68af\u5ea6\uff0c\u540c\u65f6\u5374\u4e5f\u662f\u663e\u5b58\u6740\u624b\uff0c\u5176\u4e2d\u5e9e\u5927\u8ba1\u7b97\u56fe\u7684\u4fdd\u5b58\u6240\u5e26\u6765\u7684\u5f00\u9500\u4e5f\u5728\u5927\u6a21\u578b\u65f6\u4ee3\u88ab\u51f8\u663e\u5f97\u5c24\u4e3a\u7a81\u51fa\u3002\u4e0e\u6b64\u540c\u65f6\uff0c\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\uff08Zeroth-Order Optimization\uff09\u5219\u5b8c\u5168\u65e0\u9700\u4fdd\u5b58\u8ba1\u7b97\u56fe\uff0c\u8f6c\u800c\u4f7f\u7528\u6709\u9650\u5dee\u5206\u6765<mark data-type=\"tech_methods\" data-id=\"01c9f940-37cb-478d-9bbf-e1b3a5b84ee3\">\u8fd1\u4f3c\u8ba1\u7b97<\/mark>\u7f51\u7edc\u7684\u68af\u5ea6\uff0c\u901a\u8fc7\u5b8c\u5168\u907f\u514d\u53cd\u5411\u4f20\u64ad\uff08back-propagation; BP\uff09\u6765\u5927\u5927\u51cf\u5c11<mark data-type=\"tech_methods\" data-id=\"72b0bcc0-d8f9-4edd-919f-fa7c2560388c\">\u795e\u7ecf\u7f51\u7edc<\/mark>\u66f4\u65b0\u4e2d\u7684\u5185\u5b58\u5f00\u9500\u3002<\/section>\n<section><\/section>\n<section>\u7c7b\u4f3c\u4e8e\u4e00\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u4e2d<mark data-type=\"tech_methods\" data-id=\"8e284b12-a865-4915-adda-508a320eefde\">\u968f\u673a\u68af\u5ea6\u4e0b\u964d<\/mark>\u7684\u5404\u5f0f\u53d8\u79cd\uff0c\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u4e5f\u6709\u7740\u5404\u79cd\u6b64\u524d\u65e0\u4eba\u63a2\u7d22\u7684\u6539\u8fdb\u7b97\u6cd5\u3002\u8fd1\u65e5\uff0c\u6765\u81ea\u5bc6\u6b47\u6839\u5dde\u7acb\u5927\u5b66\u3001\u5317\u5361\u7f57\u6765\u7eb3\u5927\u5b66\u6559\u5802\u5c71\u5206\u6821\u3001\u5fb7\u514b\u8428\u65af\u5927\u5b66\u5965\u65af\u6c40\u5206\u6821\u3001\u660e\u5c3c\u82cf\u8fbe\u5927\u5b66\u53cc\u57ce\u5206\u6821\u3001<mark data-type=\"institutions\" data-id=\"b86983cf-b858-45b0-86a1-b05cb94cde08\">IBM<\/mark> \u7814\u7a76\u4e2d\u5fc3\u3001\u666e\u6797\u65af\u987f\u5927\u5b66\u3001\u4ee5\u53ca<mark data-type=\"institutions\" data-id=\"245d8d6b-49fb-4ebe-b2e3-a85508dcaf9b\">\u963f\u91cc\u5df4\u5df4<\/mark><mark data-type=\"institutions\" data-id=\"58ed797b-1d35-42b5-a8bb-13604eca35fe\">\u8fbe\u6469\u9662<\/mark>\u7684\u4f17\u591a\u7814\u7a76\u8005\u8054\u5408\u63a8\u51fa\u5168\u9762\u8bc4\u6d4b\uff08benchmark\uff09\u6587\u7ae0\uff1aRevisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark \u3002\u8fd9\u7bc7\u6587\u7ae0\u8986\u76d6\u516d\u79cd\u65e0\u9700\u53cd\u5411\u4f20\u64ad\uff08BP-free\uff09\u7684<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u3001\u4e94\u7c7b\u5927\u6a21\u578b\u3001\u4e09\u79cd\u590d\u6742\u5ea6\u7684\u5404\u9879\u4efb\u52a1\u3001\u56db\u7c7b\u5fae\u8c03\u65b9\u6848\uff0c\u4ee5\u53ca\u4e09\u9879\u589e\u5f3a\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u7684\u5168\u65b0\u7b97\u6cd5\u3002\u76ee\u524d\uff0c<strong>\u76f8\u5173\u8bba\u6587\u5df2\u88ab ICML 2024 \u9ad8\u5206\u63a5\u6536\uff0c\u4ee3\u7801\u5df2\u5f00\u6e90<\/strong>\uff1b\u8be6\u60c5\u5982\u4e0b\u3002<\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-49b48f71a187a219fc62b6659972d29c.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-49b48f71a187a219fc62b6659972d29c.png\"><\/a><\/p>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-ddb2b58dbe447f2ec368e7b345e991e2.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-ddb2b58dbe447f2ec368e7b345e991e2.png\"><\/a><\/p>\n<ul>\n<li>\n<section>\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/arxiv.org\/abs\/2402.11592<\/section>\n<\/li>\n<li>\n<section>\u4ee3\u7801\u5730\u5740\uff1ahttps:\/\/github.com\/ZO-Bench\/ZO-LLM<\/section>\n<\/li>\n<li>\n<section>\u96f6\u9636\u4f18\u5316\u8bb2\u4e49\u5730\u5740 (AAAI 2024 Tutorial)\uff1ahttps:\/\/sites.google.com\/view\/zo-tutorial-aaai-2024\/\u00a0<\/section>\n<\/li>\n<\/ul>\n<section><\/section>\n<section><strong>\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u662f\u4ec0\u4e48\uff1f\u4e3a\u4f55\u5982\u6b64\u91cd\u8981\uff1f<\/strong><\/section>\n<section><\/section>\n<section>\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\uff08Zeroth-Order Optimization\uff09\u4ec5\u4ec5\u4f9d\u9760<mark data-type=\"tech_methods\" data-id=\"72b0bcc0-d8f9-4edd-919f-fa7c2560388c\">\u795e\u7ecf\u7f51\u7edc<\/mark>\u7684\u8f93\u51fa\u8fdb\u884c\u68af\u5ea6\u4f30\u8ba1\uff0c\u4ee5\u5b8c\u5168\u4e0d\u9700\u8981\u8ba1\u7b97\u53cd\u5411\u4f20\u64ad\u548c\u6781\u5c11\u7684\u5185\u8bad\u6d88\u8017\u800c\u95fb\u540d\u3002\u5c3d\u7ba1\u5728\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u9886\u57df\u4e5f\u5b58\u5728\u4e0d\u540c\u7684\u68af\u5ea6\u4f30\u8ba1\u65b9\u6cd5\uff0c\u672c\u6587\u7279\u6307\u57fa\u4e8e\u968f\u673a\u68af\u5ea6\u4f30\u8ba1\u5668\uff08Random Gradient Estimator, RGE\uff09\u7684\u4e00\u7cfb\u5217\u7b97\u6cd5\u3002\u7b80\u5355\u6765\u8bf4\uff0c\u5c31\u662f\u901a\u8fc7\u4ece<mark data-type=\"concepts\" data-id=\"1ae8cd23-a088-4116-a57b-bd3dbf9bfe00\">\u9ad8\u65af\u5206\u5e03<\/mark>\u4e2d\u62bd\u53d6\u7684\u968f\u673a\u6270\u52a8\u6765\u8ba1\u7b97\u6709\u9650\u5dee\u5206\uff0c\u5e76\u5c06\u5176\u4f5c\u4e3a\u68af\u5ea6\u7684\u8fd1\u4f3c\u4f30\u8ba1\uff0cRGE \u6570\u5b66\u516c\u5f0f\u5982\u4e0b\u6240\u793a\u3002<\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-8e688cdc9498119d31cefe1805f0d89e.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-8e688cdc9498119d31cefe1805f0d89e.png\"><\/a><\/p>\n<section>\u5728\u6b64\u4e4b\u524d\uff0c\u96f6\u9636\u4f18\u5316\u5df2\u7ecf\u5927\u91cf\u5e94\u7528\u4e8e<mark data-type=\"tech_methods\" data-id=\"1a0e9c5e-6502-4cd7-8683-6b5ca6c48be2\">\u673a\u5668\u5b66\u4e60<\/mark>\u95ee\u9898\u4e2d\uff0c\u6bd4\u5982<mark data-type=\"concepts\" data-id=\"c7d01434-2e7f-4b7e-9322-390aad6abb12\">\u5bf9\u6297\u6837\u672c<\/mark>\u751f\u6210\u548c\u9632\u5fa1\uff0c\u9ed1\u7bb1\u6a21\u578b\u89e3\u91ca\uff0c<mark data-type=\"tech_methods\" data-id=\"ee1a8f69-3170-4ddf-b2b6-47d91c844425\">\u5f3a\u5316\u5b66\u4e60<\/mark>\u548c\u81ea\u52a8<mark data-type=\"tech_methods\" data-id=\"1a0e9c5e-6502-4cd7-8683-6b5ca6c48be2\">\u673a\u5668\u5b66\u4e60<\/mark>\uff1b\u8be6\u7ec6\u7684\u7b97\u6cd5\u548c\u5e94\u7528\u4ecb\u7ecd\u8bf7\u53c2\u770b [1]\u3002\u5728\u5927\u6a21\u578b\u9886\u57df\uff0cMeZO [2] \u7387\u5148\u63d0\u51fa\u5c06\u96f6\u9636<mark data-type=\"tech_methods\" data-id=\"8e284b12-a865-4915-adda-508a320eefde\">\u968f\u673a\u68af\u5ea6\u4e0b\u964d<\/mark>\u6cd5\uff08ZO-SGD\uff09\u7528\u4f5c\u5927\u6a21\u578b\u5fae\u8c03\uff0c\u5e76\u5c55\u793a\u4e86\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u7684\u65e0\u9650\u6f5c\u529b\u3002\u4e8e\u6b64\u540c\u65f6\uff0cZO-SGD \u662f\u6700\u7b80\u5355\u3001\u57fa\u672c\u7684 BP-free <mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\uff0c\u5b83\u7684\u8bb8\u591a\u66f4\u9ad8\u7ea7\u7684\u53d8\u79cd [3] \u80fd\u5426\u5728\u5927\u6a21\u578b\u5fae\u8c03\u9886\u57df\u5e26\u7ed9\u6211\u4eec\u66f4\u591a\u60ca\u559c\uff0c\u662f\u4e00\u4e2a\u4e9f\u5f85\u7814\u7a76\u7684\u8bfe\u9898\u3002\u672c\u6587\u7cfb\u7edf\u5730\u8bc4\u6d4b\u4e86\u4ee5\u4e0b\u65e0\u9700\u53cd\u5411\u4f20\u64ad\uff08BP-free\uff09\u7684\u4f18\u5316\u7b97\u6cd5\u5728\u5927\u6a21\u578b\u5fae\u8c03\u4efb\u52a1\u4e0a\u7684\u6027\u80fd\u3001\u6548\u7387\u548c\u517c\u5bb9\u6027\uff0c\u76ee\u7684\u662f\u5411\u793e\u533a\u5c55\u793a\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u5728\u591a\u79cd\u5927\u6a21\u578b\u4efb\u52a1\u4e0a\u7684\u5e7f\u6cdb\u6f5c\u529b\uff1a<\/section>\n<section><\/section>\n<ul>\n<li>\n<section>ZO-SGD\uff1a\u96f6\u9636<mark data-type=\"tech_methods\" data-id=\"8e284b12-a865-4915-adda-508a320eefde\">\u968f\u673a\u68af\u5ea6\u4e0b\u964d<\/mark> [4]<\/section>\n<\/li>\n<li>\n<section>ZO-SGD-Sign\uff1a\u57fa\u4e8e\u7b26\u53f7\u7684\uff08sign-based\uff09\u96f6\u9636<mark data-type=\"tech_methods\" data-id=\"8e284b12-a865-4915-adda-508a320eefde\">\u968f\u673a\u68af\u5ea6\u4e0b\u964d<\/mark> [5]<\/section>\n<\/li>\n<li>\n<section>ZO-SGD-MMT\uff1a\u5e26\u6709<mark data-type=\"concepts\" data-id=\"d6ee5e5b-43ff-4c41-87ff-f34c234d0e32\">\u52a8\u91cf<\/mark>\uff08momentum\uff09\u7684\u96f6\u9636<mark data-type=\"tech_methods\" data-id=\"8e284b12-a865-4915-adda-508a320eefde\">\u968f\u673a\u68af\u5ea6\u4e0b\u964d<\/mark> [6]<\/section>\n<\/li>\n<li>\n<section>ZO-SGD-Cons\uff1a\u4fdd\u5b88\uff08conservative\uff09\u68af\u5ea6\u66f4\u65b0\u7684\u96f6\u9636<mark data-type=\"tech_methods\" data-id=\"8e284b12-a865-4915-adda-508a320eefde\">\u968f\u673a\u68af\u5ea6\u4e0b\u964d<\/mark> [7]<\/section>\n<\/li>\n<li>\n<section>ZO-Adam\uff1a\u96f6\u9636 Adam <mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark> [8]<\/section>\n<\/li>\n<\/ul>\n<section><\/section>\n<section>\u672c\u7814\u7a76\u8fd8\u5305\u62ec\u4e86 Forward-Grad [9] \u65b9\u6cd5\uff0c\u8be5\u65b9\u6cd5\u57fa\u4e8e\u6cbf\u968f\u673a\u65b9\u5411\u5411\u91cf\u7684\u65b9\u5411<mark data-type=\"concepts\" data-id=\"59a40d6c-220d-4a14-847c-0156b45a2f74\">\u5bfc\u6570<\/mark>\u6765\u65e0\u504f\u4f30\u8ba1\u68af\u5ea6\u3002\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0cForward-Grad \u867d\u7136\u4e0d\u76f4\u63a5\u4f7f\u7528\u68af\u5ea6\u56de\u4f20\uff0c\u4f46\u662f\u5374\u4ecd\u7136\u7528\u5230\u4e86\u81ea\u52a8\u5fae\u5206\u7b97\u6cd5\uff0c\u56e0\u6b64\u5b83\u662f\u4e00\u79cd\u4e00\u9636\u7684 BP-free \u7b97\u6cd5\u3002<\/section>\n<section><\/section>\n<section>\u7efc\u4e0a\u6240\u8ff0\uff0c\u672c\u6587\u7684\u8bc4\u6d4b\u5305\u542b\u4e86\u4e0a\u8ff0 5 \u79cd\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u4ee5\u53ca Forward-Grad \u65b9\u6cd5\uff0c\u540c\u65f6\u5bf9\u6bd4\u4e00\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u4e2d\u6700\u5e38\u7528\u7684 FO-SGD \u548c FO-Adam\u3002\u5728\u5177\u4f53\u5fae\u8c03\u5f62\u5f0f\u4e0a\uff0c\u8bc4\u6d4b\u5168\u9762\u8986\u76d6\u4e86 5 \u79cd LLM \u67b6\u6784\uff08RoBERTa, OPT, LLaMA, Vicuna, Mistral\uff09\uff0c3 \u79cd\u4e0d\u540c\u590d\u6742\u5ea6\u7684\u4efb\u52a1\uff08SST2,\u00a0COPA, WinoGrande\uff09\uff0c\u4ee5\u53ca 4 \u79cd\u5fae\u8c03\u65b9\u6848\uff08full-tuning,\u00a0LoRA, prompt tuning, prefix tuning\uff09\u3002<\/section>\n<section><\/section>\n<section><strong>\u5927\u6a21\u578b\u5fae\u8c03\u51c6\u786e\u6027\u8bc4\u6d4b<\/strong><\/section>\n<section><\/section>\n<section>\u4f5c\u8005\u6307\u51fa\uff0c\u4e3a\u4e86\u6709\u6548\u5730\u5229\u7528\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u5bf9\u5927\u578b\u6a21\u578b\u5728\u4e0b\u6e38\u4efb\u52a1\u4e0a\u8fdb\u884c\u5fae\u8c03\uff0c\u5fc5\u987b\u5408\u7406\u5730\u8fd0\u7528\u8f93\u5165\u6a21\u677f\uff0c\u4ee5\u4fbf\u5c06\u4e0b\u6e38\u4efb\u52a1\u4e0e\u9884\u8bad\u7ec3\u4efb\u52a1\u8fdb\u884c\u5bf9\u9f50\u3002\u4f8b\u5982\u5bf9\u4e8e SST2 \u6765\u8bf4\uff0c\u4f7f\u7528\u6a21\u677f \u201cSENTENCE. It was [terrible|great].\u201d \u80fd\u591f\u5728 ZO-SGD \u4e0a\u5e26\u6765\u7ea6 10% \u7684\u6027\u80fd\u63d0\u5347\u3002\u7136\u800c\u5bf9\u4e8e\u4e00\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\uff08\u5982 FO-SGD\uff09\uff0c\u65e0\u8bba\u662f\u5426\u4f7f\u7528\u6a21\u677f\u6027\u80fd\u5dee\u5f02\u90fd\u4e0d\u5927\uff0c\u886c\u6258\u51fa\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u7684\u72ec\u7279\u6027\u3002<\/section>\n<section><\/section>\n<section>SST2 \u4f5c\u4e3a\u4e00\u4e2a\u8f83\u4e3a\u57fa\u7840\u7684\u4efb\u52a1\uff0c\u5176\u5b9e\u9a8c\u7ed3\u679c\u53ef\u4ee5\u652f\u6301\u4ee5\u4e0b\u7ed3\u8bba\uff1a<\/section>\n<section><\/section>\n<ul>\n<li>\n<section>ZO-Adam \u4f3c\u4e4e\u662f\u6700\u6709\u6548\u7684\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\uff1a\u5728 8 \u4e2a\u5fae\u8c03\u8bbe\u7f6e\u4e2d\u7684 4 \u4e2a\u4e2d\u8868\u73b0\u6700\u4f73\u3002<\/section>\n<\/li>\n<li>\n<section>Forward-grad \u662f\u4e00\u79cd\u7ade\u4e89\u529b\u5f3a\u4f46\u4ee5\u524d\u88ab\u5ffd\u89c6\u7684\u65b9\u6cd5\uff0c\u7279\u522b\u662f\u5728\u5168\u6a21\u578b\u5fae\u8c03 (full fine-tuning) \u4e2d\u3002<\/section>\n<\/li>\n<li>\n<section>ZO-SGD-Cons \u548c ZO-SGD-MMT \u4e5f\u5c55\u793a\u4e86\u5f3a\u5927\u7684\u6027\u80fd\uff0c\u800c ZO-SGD-Sign\u4f5c\u4e3a\u6700\u7b80\u5355\u7684\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\uff0c\u5f80\u5f80\u662f\u6700\u5f31\u7684\u65b9\u6cd5\u3002<\/section>\n<\/li>\n<\/ul>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-55ac988ff0c97b85b444d5dabb80fa24.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-55ac988ff0c97b85b444d5dabb80fa24.png\"><\/a><\/p>\n<section>\u8fdb\u4e00\u6b65\uff0c\u8be5\u7814\u7a76\u4f7f\u7528\u66f4\u5927\u7684\u6a21\u578b OPT-13B\uff0c\u5728\u66f4\u590d\u6742\u3001\u66f4\u56f0\u96be\u7684\u4efb\u52a1\uff08COPA \u548c WinoGrande\uff09\u4e0a\u8fdb\u884c\u5b9e\u9a8c\uff0c\u5f97\u51fa\u4ee5\u4e0b\u7ed3\u8bba\uff1a<\/section>\n<section><\/section>\n<ul>\n<li>\n<section>\u5728\u66f4\u590d\u6742\u7684\u4efb\u52a1\u4e2d\uff0c\u4e0d\u540c<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u7684\u6027\u80fd\u5dee\u5f02\u88ab\u8fdb\u4e00\u6b65\u653e\u5927\u3002<\/section>\n<\/li>\n<li>\n<section>ZO-Adam \u548c ZO-SGD-MMT \u5728\u5404\u79cd\u5b9e\u9a8c\u4e0b\u5c55\u793a\u4e86\u975e\u5e38\u597d\u7684\u7a33\u5b9a\u6027\uff0c\u8fd9\u53ef\u80fd\u5f52\u56e0\u4e8e\u51cf\u5c11\u4e86\u65b9\u5dee\u7684\u8bbe\u8ba1\u3002<\/section>\n<\/li>\n<li>\n<section>LoRA \u5fae\u8c03\u5bf9\u4e8e\u96f6\u9636\u7b97\u6cd5\u59cb\u7ec8\u8868\u73b0\u51fa\u5f3a\u5927\u7684\u9c81\u68d2\u6027\uff0c\u5728\u5404\u79cd\u5b9e\u9a8c\u73af\u5883\u4e2d\u7a33\u5b9a\u4e14\u53ef\u9760\u3002<\/section>\n<\/li>\n<\/ul>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-446ea0dd383910ddda5715becdd9d3c4.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-446ea0dd383910ddda5715becdd9d3c4.png\"><\/a><\/p>\n<section><strong>\u5927\u6a21\u578b\u5fae\u8c03\u5185\u5b58\u5f00\u9500\u8bc4\u6d4b\u4e0e\u8be6\u89e3<\/strong><\/section>\n<section><\/section>\n<section>\u4ee5 OPT-13B \u6a21\u578b\u5728 MultiRC \u6570\u636e\u96c6\u4e0a\u5fae\u8c03\u4e3a\u4f8b\uff0c\u4f5c\u8005\u8fd8\u8fdb\u4e00\u6b65\u5bf9\u6bd4\u5206\u6790\u4e86\u4e0d\u540c\u96f6\u9636\u548c\u4e00\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u7684\u5185\u5b58\u4e0e\u65f6\u95f4\u6210\u672c\u3002\u5982\u4e0b\u8868\u6240\u793a\uff1a\u9996\u5148\uff0c\u4ece\u5185\u5b58\u6548\u7387\u7684\u89d2\u5ea6\u770b\uff0cZO-SGD\u3001ZO-SGD-Cons \u548c ZO-SGD-Sign \u663e\u793a\u51fa\u4e86\u7c7b\u4f3c\u7684\u9ad8\u5185\u5b58\u6548\u7387\uff0c\u53ea\u9700\u8981\u4e00\u4e2a A100 GPU \u6765\u8fdb\u884c\u5927\u578b<mark data-type=\"tech_tasks\" data-id=\"fee178e8-ee20-42fc-8f8f-1d41c1f34e8f\">\u8bed\u8a00\u6a21\u578b<\/mark>\u7684\u5fae\u8c03\u3002\u8fd9\u5e76\u4e0d\u4ee4\u4eba\u60ca\u8bb6\uff0c\u56e0\u4e3a\u8fd9\u4e9b\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u91c7\u7528\u76f8\u5bf9\u7b80\u5355\u7684\u4f18\u5316\u6b65\u9aa4\uff0c\u4e3b\u8981\u4f9d\u8d56\u4e8e\u96f6\u9636\u68af\u5ea6\u4f30\u8ba1\u5668 RGE \u7684\u5229\u7528\u3002\u5176\u6b21\uff0cForward-Grad \u4f3c\u4e4e\u662f\u96f6\u9636\u4f18\u5316\u65b9\u6cd5\u5728\u5185\u5b58\u6548\u7387\u65b9\u9762\u8d85\u8fc7\u4e00\u9636\u65b9\u6cd5\u7684\u4e34\u754c\u70b9\uff08\u4f8b\u5982\u4e0e ZO-Adam \u76f8\u6bd4\uff09\u3002\u6700\u540e\uff0c\u4e0e\u4e00\u9636\u65b9\u6cd5\u76f8\u6bd4\uff0c\u96f6\u9636\u4f18\u5316\u6bcf\u6b21\u8fed\u4ee3\u7684\u8fd0\u884c\u65f6\u95f4\u6210\u672c\u964d\u4f4e\u4e86\u7ea6 41.9%\uff08\u4ee5 ZO-SGD \u4e0e FO-SGD \u4e3a\u4f8b\uff09\u3002<\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-2411847be1feccf4af27f01967059a92.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-2411847be1feccf4af27f01967059a92.png\"><\/a><\/p>\n<section>\u4f5c\u8005\u8fdb\u4e00\u6b65\u6df1\u5165\u6bd4\u8f83\u4e86 ZO-SGD \u4e0e FO-SGD \u5728\u4e0d\u540c\u5e8f\u5217\u957f\u5ea6\u4e0b\u7684\u5185\u5b58\u6548\u7387\u3002\u53ef\u4ee5\u770b\u5230\uff0cZO-SGD \u7684\u5185\u5b58\u6d88\u8017\u4fdd\u6301\u4e00\u81f4\uff0c\u56e0\u4e3a\u5176\u5cf0\u503c\u5185\u5b58\u6d88\u8017\u4ec5\u7531\u6a21\u578b<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u5927\u5c0f\u51b3\u5b9a\uff0c\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u968f\u7740\u5e8f\u5217\u957f\u5ea6\u7684\u589e\u52a0\uff0cFO-SGD \u7684\u5cf0\u503c\u5185\u5b58\u6d88\u8017\u5148\u4fdd\u6301\u4e0d\u53d8\uff0c\u7136\u540e\u5f00\u59cb\u589e\u52a0\u3002\u56e0\u6b64\uff0c\u5728\u957f\u4e0a\u4e0b\u6587\u957f\u5ea6\u7684\u8bbe\u7f6e\u4e2d\uff0cZO-SGD \u5c06\u5c55\u793a\u51fa\u66f4\u597d\u7684\u5185\u5b58\u6548\u7387\u4f18\u52bf\u3002\u5177\u4f53\u7684\u5185\u5b58\u7406\u8bba\u503c\u548c\u5b9e\u9a8c\u503c\u53ef\u53c2\u89c1\u539f\u8bba\u6587\u3002<\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-b755a949585e1b1e9658c1e34717bd4d.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-b755a949585e1b1e9658c1e34717bd4d.png\"><\/a><\/p>\n<section><strong>\u4e09\u79cd\u6539\u8fdb\u7b97\u6cd5\u7528\u4ee5\u589e\u5f3a\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark><\/strong><\/section>\n<section><\/section>\n<section>\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u5728\u5e94\u7528\u4e8e LLM \u65f6<mark data-type=\"concepts\" data-id=\"3bf78775-1316-4ac0-bd99-10e2fc88c439\">\u6536\u655b<\/mark>\u6548\u7387\u53d7\u9650\uff0c\u4e3b\u8981\u662f\u56e0\u4e3a\u5b83\u4eec\u5728\u68af\u5ea6\u4f30\u8ba1\u4e0a\u7684\u65b9\u5dee\u8f83\u5927\u3002\u4e3a\u4e86\u8fdb\u4e00\u6b65\u589e\u5f3a\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\uff0c\u4f5c\u8005\u4ece\u964d\u4f4e\u68af\u5ea6\u4f30\u8ba1\u65b9\u5dee\u7684\u89d2\u5ea6\u5165\u624b\uff0c\u63d0\u51fa\u4e86\u4e09\u79cd\u8fdb\u9636\u7b97\u6cd5\uff0c\u5305\u62ec\uff1a<mark data-type=\"tech_tasks\" data-id=\"70d1a967-90f5-47be-b22f-1e2c746f4914\">\u5206\u5757<\/mark>\u96f6\u9636\u5fae\u8c03\uff08block-wise ZO fine-tuning\uff09\u3001\u96f6\u9636\u548c\u4e00\u9636\u6df7\u5408\u5fae\u8c03\uff08hybrid ZO and FO fine-tuning\uff09\u3001\u5f15\u5165\u7a00\u758f\u6027\u7684\u96f6\u9636\u68af\u5ea6\u4f30\u8ba1\uff08sparsity-induced ZO gradient estimation\uff09\u3002<\/section>\n<section><\/section>\n<section><strong><mark data-type=\"tech_tasks\" data-id=\"70d1a967-90f5-47be-b22f-1e2c746f4914\">\u5206\u5757<\/mark>\u96f6\u9636\u5fae\u8c03\uff08Block-wise ZO fine-tuning\uff09<\/strong>\u6b64\u65b9\u6cd5\u7684\u4e3b\u8981\u51fa\u53d1\u70b9\u5728\u4e8e\uff0c\u5982\u679c\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u5728\u4f30\u8ba1\u68af\u5ea6\u65f6\uff0c\u5bf9 LLM \u4e2d<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark><mark data-type=\"tech_tasks\" data-id=\"70d1a967-90f5-47be-b22f-1e2c746f4914\">\u5206\u5757<\/mark>\u5206\u522b\u8fdb\u884c\u6270\u52a8\uff0c\u901a\u8fc7\u964d\u4f4e\u95ee\u9898\u89c4\u6a21\u7684\u65b9\u5f0f\u6765\u89c1\u6548\u6bcf\u6b21\u5bf9\u68af\u5ea6\u4f30\u8ba1\u7684\u65b9\u5dee\uff0c\u4ece\u800c\u6539\u8fdb\u4f18\u5316\u6027\u80fd\u3002\u8fd9\u79cd\u65b9\u6cd5\u7684\u4f18\u70b9\u4f53\u73b0\u5728\u80fd\u591f\u5bf9\u6a21\u578b\u68af\u5ea6\u8fdb\u884c\u66f4\u51c6\u786e\u7684\u4f30\u8ba1\uff0c\u4f46\u662f\u5b8c\u6210\u4e00\u6b21\u68af\u5ea6\u4f30\u8ba1\u6240\u9700\u8981\u7684\u524d\u5411\u4f20\u64ad\u7684\u6b21\u6570\u4f1a\u589e\u52a0\u3002\u4f8b\u5982\uff0cOPT-1.3B \u53ef\u4ee5\u5206\u6210 26 \u4e2a<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u5757\uff0824 \u4e2a Transformers \u5c42\u3001\u5d4c\u5165\u5c42\u548c LM \u5206\u7c7b\u5934\uff09\uff0c\u90a3\u4e48\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u6bcf\u6b21\u8ba1\u7b97\u6a21\u578b\u68af\u5ea6\u65f6\u5c31\u4f1a\u8ba1\u7b97 26 \u6b21\u524d\u5411\u4f20\u64ad\u3002\u4e3a\u4e86\u516c\u5e73\u6bd4\u8f83 ZO-SGD \u548c ZO-SGD-Block\uff0c\u4f5c\u8005\u8fd8\u6bd4\u8f83\u4e86\u53e6\u4e00\u79cd ZO-SGD \u53d8\u4f53\u7684\u6027\u80fd\uff0c\u8be5\u53d8\u4f53\u6bcf\u6b21\u5bf9\u5b8c\u6574\u7684\u6a21\u578b\u8fdb\u884c<mark data-type=\"concepts\" data-id=\"2e982b73-88e2-41e8-a430-f7ae5a9af4bf\">\u53c2\u6570<\/mark>\u6270\u52a8\uff0c\u5e76\u5c06\u591a\u6b21\u6270\u52a8\u540e\u7684\u68af\u5ea6\u4f30\u8ba1\u6c42\u5e73\u5747\uff08\u4f8b\u5982 OPT-1.3B \u7684 26 \u6b21\uff09\uff0c\u4ee5\u6b64\u6765\u4fdd\u8bc1\u6bd4\u8f83\u65f6\u7684\u524d\u5411\u4f20\u64ad\u6b21\u6570\u76f8\u540c\u3002OPT-1.3B \u4e0a\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0cZO-SGD-Block \u5927\u5e45\u8d85\u8d8a\u4e86\u4e24\u79cd ZO-SGD\u3002<\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-81c93d43ca6908b41b42f6bacf3b85c2.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-81c93d43ca6908b41b42f6bacf3b85c2.png\"><\/a><\/p>\n<section><strong>\u96f6\u9636\u548c\u4e00\u9636\u6df7\u5408\u8bad\u7ec3\uff08Hybrid ZO and FO fine-tuning\uff09<\/strong>\u53cd\u5411\u4f20\u64ad\uff08BP\uff09\u4ece\u6df1\u5c42\u81f3\u6d45\u5c42<mark data-type=\"tech_methods\" data-id=\"72b0bcc0-d8f9-4edd-919f-fa7c2560388c\">\u795e\u7ecf\u7f51\u7edc<\/mark>\u4f9d\u6b21\u8ba1\u7b97<mark data-type=\"concepts\" data-id=\"149a12cf-10c2-4555-9899-cc6dee319ef5\">\u6743\u91cd<\/mark>\u68af\u5ea6\u3002\u7531\u4e8e\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u5728\u5185\u5b58\u5360\u7528\u4e0a\u6709\u8fdc\u8d85\u4f20\u7edf\u4e00\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u7684\u4f18\u52bf\uff0c\u4f46\u4e00\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u7684\u6027\u80fd\u5f80\u5f80\u66f4\u597d\u3002\u56e0\u6b64\uff0c\u91c7\u7528\u96f6\u9636\u548c\u4e00\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u7684\u7ed3\u5408\u5c06\u8fbe\u5230\u4e00\u79cd\u5185\u5b58\u4f7f\u7528\u548c\u6027\u80fd\u4e4b\u95f4\u7684\u5e73\u8861\uff08trade-off\uff09\u3002\u5177\u4f53\u800c\u8a00\uff0c\u5bf9\u4e8e\u8f83\u6df1\u5c42\u6b21\u7f51\u7edc\uff0c\u53ef\u4ee5\u5229\u7528\u4e00\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u901a\u8fc7\u53cd\u5411\u4f20\u64ad\u7cbe\u786e\u8ba1\u7b97\u68af\u5ea6\uff1b\u5bf9\u4e8e\u6d45\u5c42\u7f51\u7edc\uff0c\u5219\u53ef\u4ee5\u901a\u8fc7\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u8fdb\u884c\u68af\u5ea6\u4f30\u7b97\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u5728\u6d45\u5c42\u90e8\u5206\uff08\u4f8b\u5982 OPT-1.3B \u7684\u524d 8\/24 \u5c42\uff09\u91c7\u7528\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\uff0c\u800c\u5728\u5269\u4f59\u7684\u6df1\u5c42\u90e8\u5206\u4f7f\u7528\u4e00\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\uff0c\u53ef\u4ee5\u5728\u8282\u7ea6\u5927\u7ea6\u4e09\u5206\u4e4b\u4e00\u7684\u663e\u5b58\u7684\u540c\u65f6\uff0c\u8fbe\u5230\u4e0e\u5b8c\u5168\u4f7f\u7528\u4e00\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u76f8\u540c\u7684\u6027\u80fd\u6c34\u5e73\u3002<\/section>\n<p><a href=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-10f0c03614c40c84b3a9cf6d0f54c44d.png\" data-fancybox=\"images\" data-fancybox=\"gallery\"><img decoding=\"async\" src=\"https:\/\/17aitech.com\/wp-content\/uploads\/2024\/07\/frc-10f0c03614c40c84b3a9cf6d0f54c44d.png\"><\/a><\/p>\n<section><strong>\u4f7f\u7528\u7a00\u758f\u68af\u5ea6\u7684\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\uff08ZO with gradient pruning\uff09<\/strong>\u5728\u4e00\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u4e2d\uff0c\u68af\u5ea6\u526a\u88c1\u901a\u5e38\u7528\u4e8e\u52a0\u901f\u8bad\u7ec3\u8fc7\u7a0b\uff1b\u800c\u5728\u96f6\u9636<mark data-type=\"concepts\" data-id=\"fa50298e-1a85-4af0-ae96-a82708f4b610\">\u4f18\u5316\u5668<\/mark>\u4e2d\uff0c\u901a\u8fc7\u68af\u5ea6\u526a\u88c1\u5f15\u5165\u7684\u7a00\u758f\u68af\u5ea6\u53ef\u4ee5\u8fdb\u4e00\u6b65\u964d\u4f4e\u68af\u5ea6\u4f30\u8ba1\u7684\u65b9\u5dee\uff0c\u4ece\u800c\u63d0\u9ad8\u6027\u80fd\u3002\u672c\u6587\u7814\u7a76\u4e86\u5728\u96f6\u9636<mark data-type=\"concepts\" 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\u4e5f\u6210\u4e3a\u53ef\u80fd\uff0c\u4ece\u800c\u8fdb\u4e00\u6b65\u63a8\u52a8\u5b66\u672f\u7814\u7a76\u5e76\u5728\u5de5\u4e1a\u754c\u4ea7\u751f\u5b9e\u9645\u800c\u6709\u4ef7\u503c\u7684\u5f71\u54cd\u3002\u6211\u4eec\u9f13\u52b1\u5e7f\u5927\u7814\u7a76\u4eba\u5458\u548c\u6280\u672f\u5f00\u53d1\u8005\u5173\u6ce8\u6211\u4eec\u7684\u7814\u7a76\u6210\u679c\uff0c\u5e76\u63a2\u7d22\u66f4\u591a\u5229\u7528 ZO \u4f18\u5316\u7684\u53ef\u80fd\u6027\u3002\u672a\u6765\u7684\u7814\u7a76\u5c06\u7ee7\u7eed\u63a2\u7d22\u8fd9\u4e00\u9886\u57df\u7684\u6df1\u5c42\u95ee\u9898\uff0c\u4ee5\u89e3\u9501 LLM \u5fae\u8c03\u4e2d\u7684\u66f4\u591a\u6f5c\u529b\u3002<\/section>\n<section><\/section>\n<section>\u4e86\u89e3\u66f4\u591a\u5185\u5bb9\u8bf7\u53c2\u8003\u8bba\u6587\u4e0e GitHub \u4ed3\u5e93\uff0c\u83b7\u53d6\u66f4\u591a\u4fe1\u606f\u548c\u8d44\u6e90\u3002<\/section>\n<section><\/section>\n<section><em><sup>Reference:<\/sup><\/em><\/section>\n<section><sup><em>[1] Liu, et al,. &#8220;A primer on zeroth-order optimization in signal processing and machine learning.&#8221; IEEE Signal Processing Magazine 37, no. 5 (2020): 43-54.<\/em><\/sup><\/section>\n<section><sup><em>[2] Malladi, et al., \u201cFine-Tuning Language Models with Just Forward Passes.\u201d NeurIPS\u2019 2023.<\/em><\/sup><\/section>\n<section><sup><em>[3] Liu, et al., \u201cA Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning.\u201d IEEE Signal Processing Magazine.<\/em><\/sup><\/section>\n<section><sup><em>[4] Ghadimi, et al., \u201cStochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming.\u201d\u00a0<\/em><\/sup><\/section>\n<section><sup><em>[5] Liu, et al., \u201csignSGD via Zeroth-Order Oracle. \u201d ICLR\u2019 2019.<\/em><\/sup><\/section>\n<section><sup><em>[6] Huang, et al., \u201cAccelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization.\u201d JMLR\u2019 2022.\u00a0<\/em><\/sup><\/section>\n<section><sup><em>[7] Kim, et al., \u201cCurvature-Aware Derivative-Free Optimization.\u201d<\/em><\/sup><\/section>\n<section><sup><em>[8] Chen, et al., \u201cZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization.\u201d<\/em><\/sup><\/section>\n<section><em><sup>[9] Baydin, et al., \u201cGradients without Backpropagation.\u201d<\/sup><\/em><\/section>\n<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:<a href=\"https:\/\/www.jiqizhixin.com\/articles\/2024-07-04-8\" target=\"_blank\">ICML 2024\u9ad8\u5206\u8bba\u6587 | \u96f6\u9636\u4f18\u5316\u5668\u5fae\u8c03\u5927\u6a21\u578b\uff0c\u5927\u5e45\u964d\u4f4e\u5185\u5b58<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:ICML 2024\u9ad8\u5206 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