{"id":1077180,"date":"2024-01-30T12:16:00","date_gmt":"2024-01-30T20:16:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-blog-post&#038;p=1077180"},"modified":"2024-09-25T04:01:54","modified_gmt":"2024-09-25T11:01:54","slug":"new-arrival-in-research-7","status":"publish","type":"msr-blog-post","link":"https:\/\/www.microsoft.com\/en-us\/research\/articles\/new-arrival-in-research-7\/","title":{"rendered":"\u63d0\u793a\u8bcd\u4e13\u573a\uff1a\u4ece\u8c03\u6574\u63d0\u793a\u6539\u5584\u4e0eLLMs\u7684\u6c9f\u901a\uff0c\u5230\u5229\u7528LLMs\u4f18\u5316\u63d0\u793a\u6548\u679c"},"content":{"rendered":"\n<p>\u7f16\u8005\u6309\uff1a\u6b22\u8fce\u9605\u8bfb\u201c\u79d1\u7814\u4e0a\u65b0\u201d\u680f\u76ee\uff01\u201c\u79d1\u7814\u4e0a\u65b0\u201d\u6c47\u805a\u4e86\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u6700\u65b0\u7684\u521b\u65b0\u6210\u679c\u4e0e\u79d1\u7814\u52a8\u6001\u3002\u5728\u8fd9\u91cc\uff0c\u4f60\u53ef\u4ee5\u5feb\u901f\u6d4f\u89c8\u7814\u7a76\u9662\u7684\u4eae\u70b9\u8d44\u8baf\uff0c\u4fdd\u6301\u5bf9\u524d\u6cbf\u9886\u57df\u7684\u654f\u9510\u55c5\u89c9\uff0c\u540c\u65f6\u4e5f\u80fd\u627e\u5230\u5148\u8fdb\u5b9e\u7528\u7684\u5f00\u6e90\u5de5\u5177\u3002<\/p>\n\n\n\n<p>\u63d0\u793a\u8bcd\u7684\u597d\u574f\u51b3\u5b9a\u4e86\u5927\u8bed\u8a00\u6a21\u578b\u4ea7\u51fa\u5185\u5bb9\u8d28\u91cf\u7684\u9ad8\u4f4e\uff0c\u800c\u9488\u5bf9\u63d0\u793a\u8bcd\u8bbe\u8ba1\u548c\u4f18\u5316\u7684\u7814\u7a76\u80fd\u591f\u63d0\u9ad8\u4eba\u7c7b\u4e0e\u5927\u8bed\u8a00\u6a21\u578b\u4e4b\u95f4\u7684\u6c9f\u901a\u4f53\u9a8c\u3002\u8ba9\u6211\u4eec\u901a\u8fc7\u4eca\u5929\u201c\u63d0\u793a\u8bcd\u4e13\u573a\u201d\u4ecb\u7ecd\u7684\u8fd9\u4e9b\u6700\u65b0\u79d1\u7814\u6210\u679c\uff0c\u4e0e\u4f60\u4e00\u540c\u63a2\u7d22\u66f4\u52a0\u667a\u80fd\u5316\u7684\u4eba\u673a\u4ea4\u4e92\u7684\u672a\u6765\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"\u8fde\u63a5\u5927\u8bed\u8a00\u6a21\u578b\u4e0e\u8fdb\u5316\u7b97\u6cd5-\u6253\u9020\u9ad8\u6548\u7684\u63d0\u793a\u8bcd\u4f18\u5316\u5668\">\u8fde\u63a5\u5927\u8bed\u8a00\u6a21\u578b\u4e0e\u8fdb\u5316\u7b97\u6cd5\uff0c\u6253\u9020\u9ad8\u6548\u7684\u63d0\u793a\u8bcd\u4f18\u5316\u5668<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"213\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-1-768x213-1.png\" alt=\"Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers\" class=\"wp-image-1077192\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-1-768x213-1.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-1-768x213-1-300x83.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-1-768x213-1-240x67.png 240w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/connecting-large-language-models-with-evolutionary-algorithms-yields-powerful-prompt-optimizers\/\">https:\/\/www.microsoft.com\/en-us\/research\/publication\/connecting-large-language-models-with-evolutionary-algorithms-yields-powerful-prompt-optimizers\/<\/a><\/p>\n\n\n\n<p>\u4e00\u4e2a\u51fa\u8272\u7684\u63d0\u793a\u8bcd\uff08prompt\uff09\u80fd\u591f\u6709\u6548\u5730\u5f15\u5bfc\u6a21\u578b\u66f4\u51c6\u786e\u5730\u7406\u89e3\u8f93\u5165\u5185\u5bb9\uff0c\u8fdb\u800c\u751f\u6210\u66f4\u76f8\u5173\u3001\u66f4\u5177\u4ef7\u503c\u7684\u8f93\u51fa\u7ed3\u679c\u3002\u7136\u800c\uff0c\u8bbe\u8ba1\u6070\u5f53\u7684\u63d0\u793a\u8bcd\u5f80\u5f80\u9700\u8981\u8017\u8d39\u5927\u91cf\u4eba\u529b\u8d44\u6e90\u3002\u56e0\u6b64\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u5c06\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5353\u8d8a\u7684\u8bed\u8a00\u5904\u7406\u80fd\u529b\u4e0e\u8fdb\u5316\u7b97\u6cd5\u5353\u8d8a\u7684\u4f18\u5316\u80fd\u529b\u76f8\u7ed3\u5408\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u81ea\u52a8\u5316\u7684\u63d0\u793a\u8bcd\u4f18\u5316\u6846\u67b6\u2014\u2014EvoPrompt\u3002<\/p>\n\n\n\n<p>\u4f20\u7edf\u7684\u8fdb\u5316\u7b97\u6cd5\u662f\u5c06\u89e3\u7a7a\u95f4\u6620\u5c04\u4e3a\u57fa\u56e0\u5e8f\u5217\u96c6\u5408\uff0c\u5e76\u901a\u8fc7\u5bf9\u57fa\u56e0\u5e8f\u5217\u8fdb\u884c\u4ea4\u53c9\u548c\u53d8\u5f02\u64cd\u4f5c\u751f\u6210\u65b0\u7684\u53ef\u884c\u89e3\uff0c\u8fdb\u800c\u7b5b\u9009\u51fa\u6700\u4f18\u89e3\u3002\u7136\u800c\uff0c\u4f20\u7edf\u7684\u4ea4\u53c9\u53d8\u5f02\u64cd\u4f5c\u5e38\u5e38\u5ffd\u7565\u4e86\u57fa\u56e0\u7247\u6bb5\u4e4b\u95f4\u7684\u5173\u8054\u6027\u3002\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e2d\uff0c\u63d0\u793a\u8bcd\u9700\u8981\u5177\u5907\u8fde\u8d2f\u6027\u548c\u53ef\u8bfb\u6027\u3002\u6240\u4ee5\u7814\u7a76\u5458\u4eec\u91c7\u7528\u4e86\u5927\u8bed\u8a00\u6a21\u578b\u6765\u6267\u884c\u4ea4\u53c9\u548c\u53d8\u5f02\u64cd\u4f5c\uff0c\u4ee5\u8003\u8651\u5e8f\u5217\u4e2d\u7684\u4e0a\u4e0b\u6587\u5173\u7cfb\uff0c\u4ece\u800c\u751f\u6210\u53ef\u8bfb\u6027\u9ad8\u7684\u63d0\u793a\u8bcd\u3002<\/p>\n\n\n\n<p>EvoPrompt \u662f\u4e00\u79cd\u901a\u7528\u6846\u67b6\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u8ba1\u4e0d\u540c\u7684\u4ea4\u53c9\u53d8\u5f02\u7b56\u7565\u4e0e\u591a\u79cd\u8fdb\u5316\u7b97\u6cd5\u76f8\u7ed3\u5408\u3002\u56fe1\u5c55\u793a\u4e86\u5c06 EvoPrompt \u5e94\u7528\u4e8e\u9057\u4f20\u7b97\u6cd5\u7684\u5b9e\u4f8b\u5316\u8fc7\u7a0b\u4e2d\uff0c\u5927\u8bed\u8a00\u6a21\u578b\u662f\u5982\u4f55\u6267\u884c\u4ea4\u53c9\u53d8\u5f02\u64cd\u4f5c\u4ee5\u751f\u6210\u65b0\u7684\u63d0\u793a\u8bcd\u7684\u793a\u4f8b\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"621\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-2-1024x621-1.png\" alt=\"Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers | prompt example\" class=\"wp-image-1077195\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-2-1024x621-1.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-2-1024x621-1-300x182.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-2-1024x621-1-768x466.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-2-1024x621-1-240x146.png 240w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe1\uff1a\u5927\u8bed\u8a00\u6a21\u578b\u6267\u884c\u9057\u4f20\u7b97\u6cd5\u4e2d\u7684\u4ea4\u53c9\u53d8\u5f02\u64cd\u4f5c<\/figcaption><\/figure>\n\n\n\n<p>Evoprompt \u5728\u591a\u4e2a\u81ea\u7136\u8bed\u8a00\u7406\u89e3\u548c\u751f\u6210\u4efb\u52a1\u4e2d\u83b7\u5f97\u4e86\u51fa\u8272\u7684\u63d0\u793a\u8bcd\u3002\u88681\u5c55\u793a\u4e86 EvoPrompt \u5728\u4e3b\u9898\u5206\u7c7b\u4efb\u52a1\u4e2d\u83b7\u5f97\u7684\u6700\u4f73\u63d0\u793a\u8bcd\uff0c\u5176\u63d0\u793a\u5927\u6a21\u578b\u51b3\u7b56\u524d\u201c\u4ed4\u7ec6\u5ba1\u67e5\u201d\u5f85\u5206\u7c7b\u7684\u6587\u7ae0\uff0c\u63d0\u9ad8\u4e86\u51c6\u786e\u7387\u3002\u88682\u5c55\u793a\u4e86 EvoPrompt \u5728\u6587\u672c\u7b80\u5316\u4efb\u52a1\u4e2d\u6240\u83b7\u5f97\u7684\u6700\u4f73\u63d0\u793a\u8bcd\uff0c\u5176\u5728\u63d0\u793a\u8bcd\u4e2d\u52a0\u5165\u4e86\u5bf9\u4efb\u52a1\u76ee\u7684\u7684\u63cf\u8ff0\uff0c\u8fdb\u4e00\u6b65\u63d0\u5347\u4e86\u4efb\u52a1\u6548\u679c\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"577\" height=\"75\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-3.png\" alt=\"Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers | table 1\" class=\"wp-image-1077198\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-3.png 577w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-3-300x39.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-3-240x31.png 240w\" sizes=\"auto, (max-width: 577px) 100vw, 577px\" \/><figcaption class=\"wp-element-caption\">\u88681\uff1aAlpaca-7b \u6a21\u578b\u5728\u4e3b\u9898\u5206\u7c7b\u4efb\u52a1\u4e0a\u7684\u63d0\u793a\u8bcd\u4f18\u5316<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1017\" height=\"168\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-4.png\" alt=\"Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers | table 2\" class=\"wp-image-1077201\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-4.png 1017w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-4-300x50.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-4-768x127.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-4-240x40.png 240w\" sizes=\"auto, (max-width: 1017px) 100vw, 1017px\" \/><figcaption class=\"wp-element-caption\">\u88682\uff1aAlpaca-7b \u53ca GPT-3.5 \u5728\u6587\u672c\u7b80\u5316\u4efb\u52a1\u4e0a\u7684\u63d0\u793a\u8bcd\u4f18\u5316<\/figcaption><\/figure>\n\n\n\n<p>\u9664\u4e86\u8fdb\u5316\u7b97\u6cd5\u4e4b\u5916\uff0c\u8bb8\u591a\u4f20\u7edf\u4f18\u5316\u7b97\u6cd5\u5728\u4f18\u5316\u8fc7\u7a0b\u4e2d\u4e5f\u9700\u8981\u751f\u6210\u53ef\u884c\u89e3\u3002\u5982\u6a21\u62df\u9000\u706b\u7b97\u6cd5\u548c\u7c92\u5b50\u7fa4\u4f18\u5316\u7b97\u6cd5\uff0c\u5b83\u4eec\u6839\u636e\u7279\u5b9a\u89c4\u5219\u751f\u6210\u591a\u4e2a\u53ef\u884c\u89e3\u5e76\u8fdb\u884c\u7b5b\u9009\u3002\u540c\u65f6\uff0c\u8fd8\u6709\u4e00\u4e9b\u7b97\u6cd5\uff08\u5982\u56de\u6eaf\u7b97\u6cd5\u548c\u52a8\u6001\u89c4\u5212\u7b97\u6cd5\uff09\u91c7\u7528\u9010\u6b65\u751f\u6210\u6700\u4f18\u89e3\u7684\u7b56\u7565\u3002\u7136\u800c\uff0c\u5728\u751f\u6210\u89e3\u7684\u8fc7\u7a0b\u4e2d\uff0c\u8fd9\u4e9b\u4f20\u7edf\u4f18\u5316\u7b97\u6cd5\u5f80\u5f80\u96be\u4ee5\u5145\u5206\u8003\u8651\u5e8f\u5217\u4e2d\u7684\u4e0a\u4e0b\u6587\u5173\u7cfb\u3002\u4f46\u5b9e\u9645\u4e0a\uff0c\u8bb8\u591a\u89e3\u7a7a\u95f4\u786e\u5b9e\u9700\u8981\u8003\u8651\u524d\u540e\u6587\u5173\u7cfb\uff0c\u4f8b\u5982\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u57fa\u56e0\u5e8f\u5217\u5206\u6790\u548c\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u7b49\u9886\u57df\u3002\u56e0\u6b64\uff0c\u5728\u5927\u6a21\u578b\u4e0e\u4f20\u7edf\u4f18\u5316\u7b97\u6cd5\u7684\u878d\u5408\u4e2d\uff0c\u4ecd\u5b58\u5728\u8bb8\u591a\u6709\u5f85\u6316\u6398\u7684\u6f5c\u5728\u7ed3\u5408\u70b9\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"research2\">\u5177\u6709\u7ed3\u6784\u5316\u8bed\u8a00\u77e5\u8bc6\u7684\u5206\u5c42\u89c6\u89c9\u8bed\u8a00\u6a21\u578b\u63d0\u793a\u5b66\u4e60<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"654\" height=\"158\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-5.png\" alt=\"Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-language Models\" class=\"wp-image-1077204\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-5.png 654w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-5-300x72.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-5-240x58.png 240w\" sizes=\"auto, (max-width: 654px) 100vw, 654px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/learning-hierarchical-prompt-with-structured-linguistic-knowledge-for-vision-language-models\/\">https:\/\/www.microsoft.com\/en-us\/research\/publication\/learning-hierarchical-prompt-with-structured-linguistic-knowledge-for-vision-language-models\/<\/a><\/p>\n\n\n\n<p>\u9879\u76ee\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/github.com\/Vill-Lab\/2024-AAAI-HPT\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/github.com\/Vill-Lab\/2024-AAAI-HPT<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u7684\u51fa\u73b0\uff0c\u4f7f\u5f97\u5229\u7528\u89c6\u89c9-\u8bed\u8a00\u6a21\u578b\uff08VLMs\uff09\u8fdb\u884c\u5c11\u6837\u672c\u56fe\u50cf\u5206\u7c7b\u7684\u65b9\u6cd5\u63a2\u7d22\u4e86\u4f7f\u7528\u4e0e\u7c7b\u522b\u76f8\u5173\u7684\u63cf\u8ff0\u4f5c\u4e3a\u8f93\u5165\u4ee5\u589e\u5f3a\u63d0\u793a\u6548\u679c\u7684\u53ef\u80fd\u6027\u3002\u7136\u800c\uff0c\u4f20\u7edf\u7684\u63cf\u8ff0\u5728\u6709\u6548\u8868\u8fbe\u4e0e\u7279\u5b9a\u7c7b\u522b\u76f8\u5173\u7684\u5b9e\u4f53\u6216\u5c5e\u6027\u4e4b\u95f4\u7684\u76f8\u4e92\u5173\u7cfb\u65b9\u9762\u5b58\u5728\u4e0d\u8db3\u3002<\/p>\n\n\n\n<p>\u7814\u7a76\u5458\u4eec\u89c2\u5bdf\u53d1\u73b0\uff0c\u7ed3\u6784\u5316\u7684\u8bed\u8a00\u77e5\u8bc6\u5bf9\u4e8e\u63d0\u793a\u5fae\u8c03\u81f3\u5173\u91cd\u8981\u3002\u5177\u4f53\u800c\u8a00\uff0c\u975e\u7ed3\u6784\u5316\u7684\u7c7b\u522b\u63cf\u8ff0\u5305\u62ec\u5b9a\u4e49\u8be5\u7c7b\u522b\u7684\u5173\u952e\u5b9e\u4f53\u548c\u5c5e\u6027\uff0c\u800c\u8fd9\u4e9b\u5b9e\u4f53\u3001\u5c5e\u6027\u4ee5\u53ca\u5b83\u4eec\u4e4b\u95f4\u7684\u5173\u8054\u53ef\u4ee5\u8868\u793a\u4e3a\u4e00\u4e2a\u56fe\u4ee5\u5b9e\u73b0\u8bed\u4e49\u7406\u89e3\u3002\u8fd9\u79cd\u57fa\u4e8e\u7ed3\u6784\u56fe\u7684\u8868\u793a\u65b9\u5f0f\u63d0\u4f9b\u4e86\u4e00\u79cd\u66f4\u5177\u7ec4\u7ec7\u6027\u7684\u4fe1\u606f\u8868\u8fbe\u65b9\u5f0f\uff0c\u4ece\u800c\u589e\u5f3a\u4e86\u6a21\u578b\u5bf9\u4e8e\u7c7b\u522b\u8bed\u4e49\u77e5\u8bc6\u7684\u7406\u89e3\u80fd\u529b\uff0c\u6709\u52a9\u4e8e\u53d1\u73b0\u5728\u539f\u59cb\u63cf\u8ff0\u4e2d\u4e0d\u6613\u62bd\u53d6\u7684\u9690\u542b\u5173\u8054\u3002<\/p>\n\n\n\n<p>\u5177\u4f53\u6765\u8bf4\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u5206\u5c42\u63d0\u793a\u5fae\u8c03\uff08HPT\uff09\u65b9\u6cd5\uff0c\u5c06 LLMs \u4e2d\u7684\u7ed3\u6784\u5316\u8bed\u8a00\u77e5\u8bc6\u548c\u4f20\u7edf\u8bed\u8a00\u77e5\u8bc6\u7ed3\u5408\u5728\u4e00\u8d77\uff0c\u4ee5\u5206\u5c42\u5b66\u4e60\u63d0\u793a\u7684\u65b9\u5f0f\u63d0\u9ad8\u63d0\u793a\u6548\u679c\u3002\u4e3a\u4e86\u6a21\u62df\u590d\u6742\u7684\u7ed3\u6784\u5316\u4fe1\u606f\uff0c\u6a21\u578b\u4f1a\u5b66\u4e60\u5177\u6709\u4e0d\u540c\u8bed\u4e49\u5c42\u6b21\u7684\u5206\u5c42\u63d0\u793a\uff0c\u5177\u4f53\u5305\u542b\u4e86\u4ee3\u8868\u5b9e\u4f53\u548c\u5c5e\u6027\u7684\u4f4e\u5c42\u6b21\u63d0\u793a\u3001\u4ee3\u8868\u63cf\u8ff0\u4e2d\u7c7b\u522b\u76f8\u5173\u4fe1\u606f\u7684\u9ad8\u5c42\u6b21\u63d0\u793a\u4ee5\u53ca\u4ee3\u8868\u8de8\u7c7b\u522b\u5171\u4eab\u7684\u7c7b\u522b\u65e0\u5173\u77e5\u8bc6\u7684\u5168\u5c40\u63d0\u793a\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"454\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-6-1024x454-1.png\" alt=\"Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-language Models | diagram\" class=\"wp-image-1077207\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-6-1024x454-1.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-6-1024x454-1-300x133.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-6-1024x454-1-768x341.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-6-1024x454-1-240x106.png 240w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe2\uff1a\uff08\u5de6\uff09\u6574\u4f53\u6846\u67b6\uff08\u53f3\uff09\u57fa\u4e8e\u5206\u5c42\u63d0\u793a\u8c03\u6574\u7684\u6587\u672c\u7f16\u7801\u5668\u7ed3\u6784<\/figcaption><\/figure>\n\n\n\n<p>\u4e3a\u4e86\u6355\u6349\u7531 LLMs \u751f\u6210\u7684\u5b9e\u4f53\u548c\u5c5e\u6027\u4e4b\u95f4\u7684\u5bf9\u5e94\u5173\u7cfb\uff0c\u6a21\u578b\u5f15\u5165\u4e86\u5173\u7cfb\u5f15\u5bfc\u6ce8\u610f\u6a21\u5757\uff0c\u5c06\u53ef\u5b66\u4e60\u7684\u57fa\u4e8e\u6ce8\u610f\u7684\u77e9\u9635\u96c6\u6210\u5230\u6587\u672c\u7f16\u7801\u5668\u4e2d\u3002\u6b64\u5916\uff0c\u4e3a\u4e86\u5904\u7406\u8bed\u8a00\u4e2d\u66f4\u590d\u6742\u3001\u66f4\u957f\u671f\u7684\u5173\u7cfb\uff0c\u7814\u7a76\u5458\u4eec\u91c7\u7528\u4e86\u8de8\u5c42\u7ea7\u81ea\u6ce8\u610f\u529b\u6765\u6a21\u62df\u4e0d\u540c\u63d0\u793a\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u6709\u6548\u514b\u670d\u4e86\u4ec5\u4f9d\u8d56\u4f4e\u5c42\u6b21\u4fe1\u606f\u5efa\u6a21\u6240\u5e26\u6765\u7684\u5c40\u9650\u6027\uff0c\u5e76\u80fd\u66f4\u5168\u9762\u5730\u7406\u89e3\u7c7b\u522b\u76f8\u5173\u7684\u8bed\u4e49\u3002<\/p>\n\n\n\n<p>\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0cHPT \u5728\u4e0d\u540c\u7684\u6cdb\u5316\u4efb\u52a1\u4e2d\uff08\u57fa\u7c7b\u5230\u65b0\u7c7b\u6cdb\u5316\u3001\u57df\u6cdb\u5316\u3001\u8de8\u6570\u636e\u96c6\u6cdb\u5316\uff09\u5747\u663e\u793a\u4e86\u4f18\u4e8e\u76ee\u524d\u6700\u5148\u8fdb\u65b9\u6cd5\u7684\u6027\u80fd\uff0c\u800c\u4e14\u4e0e\u7ed3\u6784\u5316\u76f8\u5173\u7684\u4f4e\u5c42\u6b21\u63d0\u793a\u5bf9\u6027\u80fd\u63d0\u5347\u4e5f\u8d77\u5230\u4e86\u663e\u8457\u5f71\u54cd\u3002\u8fd9\u8868\u660e\u5728\u63cf\u8ff0\u4e2d\u660e\u786e\u5efa\u6a21\u7ed3\u6784\u5173\u7cfb\u6709\u5229\u4e8e\u63d0\u4f9b\u4e0e\u672a\u89c1\u7c7b\u522b\u6216\u672a\u89c1\u57df\u76f8\u5173\u8054\u7684\u989d\u5916\u4fe1\u606f\uff0c\u4ece\u800c\u8f85\u52a9\u5176\u4ed6\u5c42\u6b21\u7684\u63d0\u793a\u6574\u5408\u6574\u4f53\u8bed\u4e49\u4ee5\u5904\u7406\u66f4\u590d\u6742\u7684\u5173\u7cfb\u5e76\u63d0\u5347\u8bc6\u522b\u6548\u679c\u3002<\/p>\n\n\n\n<p>\u672a\u6765\uff0c\u7814\u7a76\u5458\u4eec\u5c06\u6301\u7eed\u5bf9\u76f8\u5173\u95ee\u9898\u8fdb\u884c\u66f4\u52a0\u6df1\u5165\u7684\u63a2\u7d22\uff0c\u5e76\u5e0c\u671b\u8fd9\u9879\u5de5\u4f5c\u80fd\u8ba9\u66f4\u591a\u4eba\u5173\u6ce8\u81ea\u7136\u8bed\u8a00\u4e2d\u7684\u7ed3\u6784\u5316\u77e5\u8bc6\u5bf9\u63d0\u793a\u5fae\u8c03\u7684\u4f5c\u7528\uff0c\u4ece\u800c\u5c06\u5176\u5e94\u7528\u5230\u5206\u7c7b\u4ee5\u5916\u7684\u5404\u79cd\u4efb\u52a1\u4e2d\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"research3\">LLMLingua\u7cfb\u5217\u7814\u7a76\uff1a\u901a\u8fc7\u63d0\u793a\u538b\u7f29\u91cd\u6392\u4f18\u5316\u4eba\u4e0e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u6c9f\u901a<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"564\" height=\"171\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-7.png\" alt=\"LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models\" class=\"wp-image-1077210\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-7.png 564w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-7-300x91.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-7-240x73.png 240w\" sizes=\"auto, (max-width: 564px) 100vw, 564px\" \/><\/figure>\n\n\n\n<p>LLMLingua \u8bba\u6587\u94fe\u63a5\uff1a<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/llmlingua-compressing-prompts-for-accelerated-inference-of-large-language-models\/\">https:\/\/www.microsoft.com\/en-us\/research\/publication\/llmlingua-compressing-prompts-for-accelerated-inference-of-large-language-models\/<\/a><\/p>\n\n\n\n<p>LongLLMLingua \u8bba\u6587\u94fe\u63a5\uff1a<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/longllmlingua-accelerating-and-enhancing-llms-in-long-context-scenarios-via-prompt-compression\/\">https:\/\/www.microsoft.com\/en-us\/research\/publication\/longllmlingua-accelerating-and-enhancing-llms-in-long-context-scenarios-via-prompt-compression\/<\/a><\/p>\n\n\n\n<p>\u9879\u76ee\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/llmlingua.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/llmlingua.com\/<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u4ee3\u7801\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/github.com\/microsoft\/LLMLingua\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/github.com\/microsoft\/LLMLingua<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>Demo\u94fe\u63a5\uff1a<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/huggingface.co\/spaces\/microsoft\/LLMLingua\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/huggingface.co\/spaces\/microsoft\/LLMLingua<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n<p>\u63d0\u793a\uff08Prompt\uff09\u662f\u4eba\u7c7b\u4e0e\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u4e4b\u95f4\u6c9f\u901a\u7684\u6865\u6881\uff0c\u7528\u6237\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u63d0\u793a\u6765\u5411\u5927\u8bed\u8a00\u6a21\u578b\u8868\u8fbe\u9700\u6c42\uff0c\u5f15\u5bfc\u6a21\u578b\u4ea7\u751f\u5b9a\u5236\u5316\u7684\u56de\u7b54\u3002\u7136\u800c\uff0c\u968f\u7740\u63d0\u793a\u6280\u5de7\u7684\u6781\u5927\u4e30\u5bcc\uff0c\u63d0\u793a\u9010\u6e10\u53d8\u5f97\u8d8a\u53d1\u8be6\u5c3d\u548c\u590d\u6742\uff0c\u4eba\u4e0e\u5927\u6a21\u578b\u4e4b\u95f4\u7684\u6c9f\u901a\u4e5f\u53d8\u5f97\u4e0d\u518d\u987a\u7545\u3002\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u540d\u4e3a LLMLingua \u4e0e LongLLMLingua \u7684\u7cfb\u7edf\uff0c\u65e8\u5728\u901a\u8fc7\u8c03\u6574\u63d0\u793a\u6765\u6539\u5584\u4eba\u7c7b\u4e0e LLMs \u4e4b\u95f4\u7684\u4ea4\u6d41\u3002<\/p>\n\n\n\n<p>\u5904\u7406\u957f\u800c\u590d\u6742\u7684\u63d0\u793a\u9762\u4e34\u591a\u91cd\u6311\u6218\u3002\u9996\u5148\u662f\u9ad8\u6602\u7684\u6210\u672c\uff1a\u968f\u7740\u63d0\u793a\u957f\u5ea6\u7684\u589e\u52a0\uff0c\u8f93\u5165\u5904\u7406\u7684\u8ba1\u7b97\u590d\u6742\u6027\u6210\u4e8c\u6b21\u65b9\u589e\u957f\uff0c\u8fd9\u4f7f\u5f97\u957f\u63d0\u793a\u66f4\u52a0\u6d88\u8017\u8d44\u6e90\u3002\u5176\u6b21\uff0c\u63d0\u793a\u4e2d\u7684\u5197\u4f59\u4fe1\u606f\u4f1a\u964d\u4f4e LLMs \u7684\u6027\u80fd\u3002\u7528\u6237\u5728\u8868\u8fbe\u81ea\u5df1\u7684\u9700\u6c42\u65f6\uff0c\u5f80\u5f80\u4f1a\u5305\u542b\u4e0d\u5fc5\u8981\u7684\u5185\u5bb9\uff0c\u5982\u591a\u4f59\u7684\u4f8b\u5b50\u548c\u7ec6\u8282\uff0c\u8fd9\u4e9b\u5185\u5bb9\u5bb9\u6613\u5206\u6563 LLMs \u7684\u6ce8\u610f\u529b\uff0c\u5bfc\u81f4\u8f93\u51fa\u8d28\u91cf\u4e0b\u964d\u3002\u6700\u540e\uff0cLLMs \u8fd8\u663e\u793a\u51fa\u4f4d\u7f6e\u504f\u5dee\uff0c\u66f4\u5bb9\u6613\u5ffd\u7565\u653e\u7f6e\u5728\u63d0\u793a\u67d0\u4e9b\u90e8\u5206\u7684\u4fe1\u606f\u3002<\/p>\n\n\n\n<p>\u53d7\u4fe1\u606f\u8bba\u548c\u901a\u4fe1\u7cfb\u7edf\u7684\u542f\u53d1\uff0cLLMLingua \u91c7\u7528\u4e86\u4e24\u4e2a\u7ec4\u4ef6\u6765\u514b\u670d\u8fd9\u4e9b\u6311\u6218\uff1a\u538b\u7f29\uff08compression\uff09\u4e0e\u91cd\u6392\uff08reorganization\uff09\u3002\u538b\u7f29\u662f\u6307\u4ece\u63d0\u793a\u4e2d\u53bb\u9664\u591a\u4f59\u548c\u4e0d\u76f8\u5173\u7684\u4fe1\u606f\uff0c\u4f7f\u5185\u5bb9\u6d53\u7f29\u81f3\u5176\u7cbe\u9ad3\u3002\u91cd\u6392\u5219\u662f\u5c06\u63d0\u793a\u5185\u5bb9\u6839\u636e\u76f8\u5173\u6027\u91cd\u65b0\u6392\u5217\uff0c\u4ee5\u62b5\u6d88 LLMs \u7684\u4f4d\u7f6e\u504f\u5dee\uff0c\u786e\u4fdd\u5173\u952e\u4fe1\u606f\u5f97\u5230\u66f4\u591a\u7684\u5173\u6ce8\u3002<\/p>\n\n\n\n<p>\u5728 LLMLingua \u7684\u67b6\u6784\u4e2d\uff0c\u7814\u7a76\u5458\u4eec\u5148\u6839\u636e\u6bb5\u843d\u4e0e\u95ee\u9898\u6216\u4efb\u52a1\u7684\u76f8\u5173\u6027\u5bf9\u63d0\u793a\u4e2d\u7684\u6bb5\u843d\u8fdb\u884c\u7c97\u7c92\u5ea6\u7684\u91cd\u6392\u548c\u538b\u7f29\u6bd4\u5206\u914d\u3002\u968f\u540e\u518d\u6839\u636e\u7531\u76f8\u5173\u6027\u5206\u914d\u7684\u538b\u7f29\u6bd4\uff0c\u5bf9\u6bcf\u4e2a\u6bb5\u843d\u8fdb\u884c\u8fed\u4ee3\u5f0f\u7684\u57fa\u4e8e\u7ec6\u7c92\u5ea6\u76f8\u5173\u6027\u7684\u5b57\u7b26\u7ea7\u538b\u7f29\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"442\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-8-1024x442-1.png\" alt=\"LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models | flow diagram\" class=\"wp-image-1077213\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-8-1024x442-1.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-8-1024x442-1-300x129.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-8-1024x442-1-768x332.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-8-1024x442-1-240x104.png 240w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe3\uff1aLLMLingua \u7cfb\u5217\u7684\u67b6\u6784\u4e0e\u6d41\u7a0b\u793a\u610f\u56fe<\/figcaption><\/figure>\n\n\n\n<p>\u7c97\u7c92\u5ea6\u548c\u7ec6\u7c92\u5ea6\u7684\u76f8\u5173\u6027\u90fd\u662f\u57fa\u4e8e\u5b57\u7b26\u4e0e\u7ed9\u5b9a\u4e0a\u4e0b\u6587\u7684\u56f0\u60d1\u5ea6\uff08perplexity\uff09\u6765\u8fdb\u884c\u8ba1\u7b97\u7684\u3002\u8d8a\u4f4e\u7684\u56f0\u60d1\u5ea6\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e2d\u9884\u793a\u7740\u8d8a\u597d\u7684\u9884\u6d4b\u6548\u679c\u3002\u5728 LLMLingua \u4e2d\uff0c\u901a\u8fc7\u8ba1\u7b97\u63d0\u793a\u4e2d\u6bcf\u4e2a\u6807\u8bb0\u7684\u56f0\u60d1\u5ea6\uff0c\u53ef\u4ee5\u8bc6\u522b\u51fa\u4e0e\u95ee\u9898\u6216\u4efb\u52a1\u6700\u76f8\u5173\u7684\u90a3\u90e8\u5206\u4fe1\u606f\u3002<\/p>\n\n\n\n<p>LLMLingua \u7cfb\u5217\u7814\u7a76\u80fd\u591f\u663e\u8457\u63d0\u9ad8\u201c\u591a\u6587\u6863\u95ee\u7b54\u201d\u7b49\u4efb\u52a1\u7684\u6548\u679c\u3002\u4f8b\u5982 LongLLMLingua \u53ef\u4ee5\u6709\u6548\u7f13\u89e3\u201c\u4e2d\u95f4\u4e22\u5931\u201d\uff08lost in the middle\uff09\u95ee\u9898\uff0c\u4f7f\u7528\u56db\u5206\u4e4b\u4e00\u7684\u63d0\u793a\u5b57\u7b26\uff0c\u53cd\u800c\u80fd\u83b7\u5f97\u9ad8\u8fbe21.4%\u7684\u6027\u80fd\u63d0\u5347\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"483\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-9-1024x483-1.png\" alt=\"LMLingua: Compressing Prompts for Accelerated Inference of Large Language Models | table and chart\" class=\"wp-image-1077216\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-9-1024x483-1.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-9-1024x483-1-300x142.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-9-1024x483-1-768x362.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-9-1024x483-1-240x113.png 240w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe4\uff1aLLMLingua \u7cfb\u5217\u5728\u591a\u6587\u6863\u95ee\u7b54\uff08RAG\uff09\u573a\u666f\u4e2d\u7684\u6027\u80fd\u6d4b\u8bd5\u7ed3\u679c<\/figcaption><\/figure>\n\n\n\n<p>\u7814\u7a76\u5458\u4eec\u8fd8\u8fdb\u884c\u4e86\u6848\u4f8b\u7814\u7a76\uff0c\u53d1\u73b0\u4f7f\u7528 GPT-4 \u6a21\u578b\u53ef\u4ee5\u51e0\u4e4e\u5b8c\u7f8e\u5730\u5c06\u538b\u7f29\u7248\u672c\u7684\u63d0\u793a\u6062\u590d\u6210\u539f\u59cb\u63d0\u793a\u3002<\/p>\n\n\n\n<p>\u5728\u6570\u5b66\u548c\u63a8\u7406\u4efb\u52a1\u4e2d\uff0cLLMLingua\/LongLLMLingua \u4e5f\u6709\u4eae\u773c\u7684\u8868\u73b0\uff0c\u66f4\u591a\u7ec6\u8282\u8bf7\u53c2\u8003\u8bba\u6587\u4e0e\u9879\u76ee\u4e3b\u9875\u3002LLMLingua \u7684\u4ee3\u7801\u73b0\u5df2\u5f00\u6e90\uff0c\u672a\u6765\u7814\u7a76\u5458\u4eec\u4e5f\u8ba1\u5212\u6301\u7eed\u8fed\u4ee3\uff0c\u4f8b\u5982\u589e\u52a0\u66f4\u7075\u6d3b\u7684\u63a5\u53e3\uff0c\u4ee5\u652f\u6301\u7528\u6237\u8f7b\u677e\u8c03\u7528\u66f4\u591a\u7684\u6a21\u578b\u8fdb\u884c\u538b\u7f29\uff0c\u4ece\u800c\u9002\u5e94\u66f4\u591a\u6837\u5316\u7684\u573a\u666f\uff0c\u6b22\u8fce\u5173\u6ce8\uff01<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"research4\">\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u5de5\u4e1a\u63a7\u5236\u4f18\u5316<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"621\" height=\"163\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-10.png\" alt=\"Pre-trained Large Language Models for Industrial Control\" class=\"wp-image-1077219\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-10.png 621w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-10-300x79.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-10-240x63.png 240w\" sizes=\"auto, (max-width: 621px) 100vw, 621px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/pre-trained-large-language-models-for-industrial-control\/\">https:\/\/www.microsoft.com\/en-us\/research\/publication\/pre-trained-large-language-models-for-industrial-control\/<\/a><\/p>\n\n\n\n<p>\u5f3a\u5316\u5b66\u4e60\uff08RL\uff09\u4f5c\u4e3a\u6700\u53d7\u6b22\u8fce\u7684\u51b3\u7b56\u65b9\u6cd5\u4e4b\u4e00\uff0c\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u5f80\u5f80\u9762\u4e34\u7740\u6837\u672c\u6548\u7387\u4f4e\u4e0b\u548c\u8bad\u7ec3\u6210\u672c\u9ad8\u6602\u7b49\u95ee\u9898\u3002\u5bf9\u4e8e\u5de5\u4e1a\u573a\u666f\u4e2d\u7684\u63a7\u5236\u4efb\u52a1\uff0c\u5982\u5e93\u5b58\u7ba1\u7406\u3001\u91cf\u5316\u4ea4\u6613\u548c HVAC \u63a7\u5236\u7b49\uff0c\u5f00\u53d1\u4f4e\u6210\u672c\u4e14\u5177\u5907\u66f4\u9ad8\u6cdb\u5316\u6027\u548c\u9c81\u68d2\u6027\u7684\u63a7\u5236\u5668\u5c24\u4e3a\u91cd\u8981\u3002<\/p>\n\n\n\n<p>\u9274\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u5728\u5404\u4e2a\u9886\u57df\u53d6\u5f97\u7684\u6210\u679c\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u5c1d\u8bd5\u901a\u8fc7\u5229\u7528 LLMs \u6765\u89e3\u51b3\u8fd9\u4e9b\u6311\u6218\u3002\u5982 GPT-4 \u548c Bard \u7b49\u5927\u8bed\u8a00\u6a21\u578b\u7ecf\u8fc7\u5927\u89c4\u6a21\u548c\u591a\u6837\u5316\u6570\u636e\u96c6\u7684\u9884\u8bad\u7ec3\uff0c\u53ef\u4ee5\u4e3a\u5404\u79cd\u5de5\u4e1a\u63a7\u5236\u4efb\u52a1\u63d0\u4f9b\u4e30\u5bcc\u7684\u5148\u9a8c\u77e5\u8bc6\u3002\u800c\u4e14 LLMs \u5728\u4e0d\u540c\u5e94\u7528\u4e2d\u4e5f\u5c55\u793a\u51fa\u4e86\u4e00\u5b9a\u7684\u903b\u8f91\u63a8\u7406\u80fd\u529b\u3002\u8fd9\u4e9b\u80fd\u529b\u5728\u5de5\u4e1a\u63a7\u5236\u4e2d\u4e0d\u53ef\u6216\u7f3a\uff0c\u4f46\u4f20\u7edf\u7684\u63a7\u5236\u65b9\u6cd5\u5374\u5f80\u5f80\u96be\u4ee5\u8fbe\u6210\u3002<\/p>\n\n\n\n<p>\u76ee\u524d\u5b58\u5728\u4e09\u7c7b\u5229\u7528 LLMs \u8fdb\u884c\u7684\u51b3\u7b56\u65b9\u6cd5\uff1a\uff081\uff09\u9488\u5bf9\u7279\u5b9a\u4e0b\u6e38\u4efb\u52a1\u5bf9 LLMs \u8fdb\u884c\u5fae\u8c03\uff1b\uff082\uff09\u4e0e\u53ef\u8bad\u7ec3\u7ec4\u4ef6\u76f8\u7ed3\u5408\uff1b\uff083\uff09\u76f4\u63a5\u4f7f\u7528\u9884\u8bad\u7ec3\u7684 LLMs\uff0c\u901a\u8fc7\u63d0\u793a\u8bcd\u5f15\u5bfc LLMs \u8fdb\u884c\u51b3\u7b56\u3002\u7136\u800c\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u90fd\u5b58\u5728\u67d0\u4e9b\u65b9\u9762\u7684\u7f3a\u70b9\uff0c\u5982\u5fae\u8c03\u8fc7\u7a0b\u6210\u672c\u9ad8\u3001\u8bbe\u8ba1\u590d\u6742\u3001\u6570\u636e\u9700\u6c42\u5927\u6216\u65e0\u6cd5\u6301\u7eed\u6539\u8fdb\u7b49\u3002<\/p>\n\n\n\n<p>\u4e0e\u4ee5\u5f80\u5728\u673a\u5668\u4eba\u64cd\u63a7\u3001\u5bb6\u5ead\u52a9\u624b\u6216\u6e38\u620f\u73af\u5883\u7b49\u9886\u57df\u7684\u7814\u7a76\u4e0d\u540c\uff0c\u672c\u7814\u7a76\u4e13\u6ce8\u4e8e\u5de5\u4e1a\u63a7\u5236\u4efb\u52a1\uff0c\u5177\u4f53\u6d41\u7a0b\u5982\u56fe\u6240\u793a\u3002\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u7684\u65b9\u6cd5\u65e0\u9700\u5fae\u8c03 LLMs\uff0c\u800c\u662f\u66f4\u9488\u5bf9\u6027\u5730\u4f18\u5316\u63d0\u793a\u8bcd\u4e2d\u7684\u793a\u4f8b\u90e8\u5206\uff0c\u901a\u8fc7\u4f7f\u7528\u5c11\u91cf\u793a\u4f8b\uff08demonstrations\uff09\u4f5c\u4e3a\u793a\u8303\u5f15\u5bfc\u4e0a\u4e0b\u6587\u5b66\u4e60\uff08in-context learning\uff09\uff0c\u5c31\u80fd\u591f\u5145\u5206\u53d1\u6325 LLMs \u81ea\u8eab\u7684\u80fd\u529b\u3002\u540c\u65f6\uff0c\u7814\u7a76\u5458\u4eec\u8fd8\u8bbe\u8ba1\u4e86\u4e00\u4e2a\u72ec\u7279\u7684\u673a\u5236\u6765\u52a8\u6001\u9009\u62e9\u4e13\u5bb6\u793a\u8303\u548c\u5386\u53f2\u4ea4\u4e92\u4e2d\u7684\u793a\u4f8b\uff0c\u5e76\u52a8\u6001\u751f\u6210\u63d0\u793a\u8bcd\u4ee5\u66f4\u597d\u5730\u9002\u914d\u5f53\u524d\u7684\u63a7\u5236\u573a\u666f\uff0c\u6700\u540e\u7531 LLMs 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https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-11-300x273.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/new-arrival-in-research-7-11-197x180.png 197w\" sizes=\"auto, (max-width: 757px) 100vw, 757px\" \/><figcaption class=\"wp-element-caption\">\u56fe5\uff1a\u57fa\u4e8e LLMs \u7684\u5de5\u4e1a\u63a7\u5236\u4f18\u5316\u65b9\u6cd5\u7684\u6d41\u7a0b\u56fe<\/figcaption><\/figure>\n\n\n\n<p>\u7814\u7a76\u5458\u4eec\u5728\u516c\u5f00\u7684\u6d4b\u8bd5\u73af\u5883\u4e2d\u6d4b\u8bd5\u4e86\u8be5\u65b9\u6cd5\u7684\u6548\u679c\uff0c\u5bf9\u6bd4\u4e86\u5305\u62ec PPO 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