{"id":883,"date":"2026-07-03T15:15:36","date_gmt":"2026-07-03T15:15:36","guid":{"rendered":"https:\/\/hyc.eshachem.com\/program\/?page_id=883"},"modified":"2026-07-04T02:28:10","modified_gmt":"2026-07-04T02:28:10","slug":"ai-%ef%bc%8d-before-llm","status":"publish","type":"page","link":"https:\/\/hyc.eshachem.com\/program\/llm-agent\/ai-%ef%bc%8d-before-llm\/","title":{"rendered":"1. \u795e\u7d93\u7db2\u8def: \u5728LLM\u4e4b\u524d"},"content":{"rendered":"\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">\u4ee5\u4e0b\u5167\u5bb9\u662f\u6211\u6839\u64daRecurrent Neural Networks (RNNs): A gentle Introduction and Overview\u9019\u7bc7\u8ad6\u6587\u7684\u8b80\u5f8c\u91cd\u9ede\u6574\u7406 <a href=\"https:\/\/arxiv.org\/pdf\/1912.05911\">https:\/\/arxiv.org\/pdf\/1912.05911<\/a><\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">\u5728\u4e86\u89e3Agent\u4e4b\u524d\u6211\u5011\u9700\u8981\u5148\u4f86\u4e86\u89e3\u4ec0\u9ebc\u662fLLM\uff0c\u4f46\u662f\u4e86\u89e3L L M\u662f\u4ec0\u9ebc\u4e4b\u524d\uff0c\u6211\u5011\u5fc5\u9808\u5148\u8981\u4e86\u89e3\u4ec0\u9ebc\u662f\u795e\u7d93\u7db2\u8def\uff01<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">*\u8a3b \u4ee5\u4e0b\u5167\u6587\u5716\u7247\u7686\u51fa\u81ea\u65bc<strong>Recurrent Neural Networks (RNNs): A gentle Introduction and Overview<\/strong>\u9019\u7bc7\u8ad6\u6587<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h1 class=\"wp-block-heading\" id=\"feed-forward-nn-%e5%89%8d%e9%a5%8b%e7%a5%9e%e7%b6%93%e7%b6%b2%e8%b7%af\">Feed Forward NN (\u524d\u994b\u795e\u7d93\u7db2\u8def)<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">\u9019\u662f\u6700\u50b3\u7d71\u7684\u795e\u7d93\u7db2\u8def\u67b6\u69cb\uff0c\u8a0a\u606f\u50cf\u55ae\u884c\u9053\u4e00\u6a23\uff0c\u53ea\u80fd\u5f9e\u8f38\u5165\u5c64\u4e00\u8def\u5411\u524d\u50b3\u905e\u5230\u8f38\u51fa\u5c64\u3002\u5b83\u64c5\u9577\u8655\u7406\u5f7c\u6b64\u7368\u7acb\u7684\u975c\u614b\u8cc7\u6599\uff08\u5982\u5206\u985e\u5716\u7247\uff09\uff0c\u4f46\u7576\u9762\u5c0d\u4eba\u985e\u7684\u300c\u8a9e\u8a00\u300d\u6642\u5c31\u78b0\u58c1\u4e86\u3002\u56e0\u70ba\u8a9e\u8a00\u662f\u5177\u6709\u524d\u5f8c\u6587\u95dc\u806f\u7684\u300c\u5e8f\u5217\u578b\u8cc7\u6599\u300d\uff08Sequence Data\uff09\uff0c\u800c\u524d\u994b\u795e\u7d93\u7db2\u8def\u7f3a\u4e4f\u6642\u9593\u6982\u5ff5\uff0c\u7121\u6cd5\u628a\u4e0a\u4e00\u500b\u5b57\u548c\u4e0b\u4e00\u500b\u5b57\u4e32\u806f\u8d77\u4f86\u3002\u9019\u7a2e\u300c\u6c92\u6709\u8a18\u61b6\u300d\u7684\u81f4\u547d\u50b7\uff0c\u4fc3\u4f7f\u4e86\u80fd\u8655\u7406\u6642\u9593\u5e8f\u5217\u7684 RNN \u8a95\u751f\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"559\" height=\"255\" src=\"https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/06\/70F79AF6-E11F-4690-8E1A-9FA2A53AD0B0.png\" alt=\"\" class=\"wp-image-730\" srcset=\"https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/06\/70F79AF6-E11F-4690-8E1A-9FA2A53AD0B0.png 559w, https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/06\/70F79AF6-E11F-4690-8E1A-9FA2A53AD0B0-300x137.png 300w\" sizes=\"auto, (max-width: 559px) 100vw, 559px\" \/><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h1 class=\"wp-block-heading\" id=\"recurrent-nn-%e5%be%aa%e7%92%b0%e7%a5%9e%e7%b6%93%e7%b6%b2%e8%b7%af\">Recurrent NN (\u5faa\u74b0\u795e\u7d93\u7db2\u8def)<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">\u70ba\u4e86\u8b93\u7db2\u8def\u6709\u8a18\u61b6\uff0cRNN \u5f15\u5165\u4e86\u300c<strong>\u96b1\u85cf\u72c0\u614b\uff08Hidden State, <em>H<\/em>\uff09<\/strong>\u300d\u4f86\u66ab\u5b58\u4e0a\u4e0b\u6587\u7684\u8a18\u61b6\u9ad4\u3002\u800c\u7db2\u8def\u5982\u4f55\u8655\u7406\u9019\u4e9b\u8a18\u61b6\uff0c\u5247\u7531\u300c<strong>\u6b0a\u91cd\u77e9\u9663\uff08<em>W<\/em>\uff09<\/strong>\u300d\u4f86\u6c7a\u5b9a\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"411\" height=\"63\" src=\"https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/07\/F9082CEF-BD3F-49E6-87D7-7A48A931A8BB.png\" alt=\"\" class=\"wp-image-886\" srcset=\"https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/07\/F9082CEF-BD3F-49E6-87D7-7A48A931A8BB.png 411w, https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/07\/F9082CEF-BD3F-49E6-87D7-7A48A931A8BB-300x46.png 300w\" sizes=\"auto, (max-width: 411px) 100vw, 411px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u6b0a\u91cd\u77e9\u9663\u5c31\u50cf\u662f\u4e00\u500b\u300c\u8a18\u61b6\u52a0\u5de5\u516c\u5f0f\u300d\uff0c\u8ca0\u8cac\u6c7a\u5b9a\uff1a\u300c\u7576\u524d\u9032\u4f86\u7684\u5b57\uff0c\u548c\u524d\u4e00\u6b65\u7559\u4e0b\u4f86\u7684\u8a18\u61b6\uff0c\u8981\u5982\u4f55\u878d\u5408\u4e26\u50b3\u5230\u4e0b\u4e00\u6b65\u300d\u3002(e.g. \u300c\u5c0f\u660e\u51fa\u751f\u5728\u53f0\u7063\uff0c\u4ed6\u5f88\u53f0\u2026\u300d \u52a0\u5de5\u6210=&gt; \u300c\u4e00\u500b\u8ddf\u53f0\u7063\u6709\u5f37\u70c8\u9023\u7d50\u7684\u5c0f\u660e \u300d)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u4f46\u96fb\u8166\u4e0d\u77e5\u9053\u4eba\u985e\u7684\u8a9e\u8a00\u898f\u5247\uff0c\u600e\u9ebc\u77e5\u9053\u201d<strong>\u5f88\u53f0<\/strong>\u201c\u4ee3\u8868<strong>\u201c\u8ddf\u53f0\u7063\u6709\u5f37\u70c8\u9023\u7d50\u201d<\/strong> ?<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u56e0\u6b64\uff0c\u5de5\u7a0b\u5e2b\u6703\u9700\u8981\u5148\u900f\u904e\u975e\u5e38\u9f90\u5927\u7684\u6578\u64da\u4f86<strong>\u8a13\u7df4<\/strong>\u9019\u500bRNN\uff0c\u8b93\u4ed6\u77e5\u9053: \u300c\u4eca\u5929\u5f88\u71b1\uff0c\u7b49\u4e00\u4e0b\u8981\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u300d\u9019\u53e5\u8a71\u4e2d\uff0c<strong>\u5929\u6c23\u5f88\u71b1<\/strong>\u624d\u662f\u7a7f\u77ed\u8932\u7684\u539f\u56e0\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h2 class=\"wp-block-heading\" id=\"backpropagation-through-time-bptt\">Backpropagation Through Time (BPTT)<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u800c\u5de5\u7a0b\u5e2b\u5728\u8a13\u7df4RNN\u6642\uff0c\u6703\u4f7f\u7528\u4f7f\u7528\u300c<strong>\u96a8\u6642\u9593\u53cd\u5411\u50b3\u64ad\uff08BPTT\uff09<\/strong>\u300d\u6f14\u7b97\u6cd5\uff0c\u900f\u904e\u504f\u5fae\u5206\u8a08\u7b97\u8aa4\u5dee\uff0c\u4e26\u56de\u982d\u66f4\u65b0<em> W<\/em>\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"222\" height=\"59\" src=\"https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/07\/B97F5D1D-6216-4080-92B4-543707A77B70.png\" alt=\"\" class=\"wp-image-884\"><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u6cbf\u7528\u300c\u4eca\u5929\u5f88\u71b1\uff0c\u7b49\u4e00\u4e0b\u8981\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u300d\u9019\u53e5\u8a71\u4f5c\u7bc4\u4f8b\uff0c\u4e00\u958b\u59cbRNN\u6703\u5fd9\u731c: \u56e0\u70ba<strong>\u53bb\u4e0a\u5b78<\/strong>\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u3002\u63a5\u8457\u5de5\u7a0b\u5e2b\u6703\u544a\u8a34RNN: \u300c\u932f\uff01\u4e0a\u5b78\u4e0d\u662f\u7a7f\u77ed\u8932\u7684\u4e3b\u56e0\uff0c\u9694\u58c1\u73ed\u5c0f\u660e\u4e0a\u5b78\u90fd\u7a7f\u9577\u8932\u3002<strong>\u5929\u6c23\u71b1<\/strong>\u624d\u662f\u4e3b\u56e0\uff01\u300d\uff0c\u6b64\u6642RNN\u958b\u59cb\u900f\u904eBPTT\u6f14\u7b97\u6cd5\uff0c\u5230\u8457\u56de\u53bb\u770b\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u5012\u56de<\/strong> <strong>[\u53bb\u4e0a\u5b78]\uff1a<\/strong> \u504f\u5fae\u5206\u8a08\u7b97\u767c\u73fe\uff0c\u56e0\u70ba <strong><em>W<sub>\u53bb\u4e0a\u5b78<\/sub><\/em><\/strong> \u6b0a\u91cd\u7d66\u592a\u9ad8\uff0c\u624d\u5c0e\u81f4\u932f\u8aa4\u3002\u65bc\u662f<strong>\u628a <strong><em>W<sub>\u53bb\u4e0a\u5b78<\/sub><\/em><\/strong> \u7684\u6578\u503c\u8abf\u4f4e<\/strong>\u3002<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u518d\u5012\u56de [\u5929\u6c23\u71b1]\uff1a<\/strong> \u504f\u5fae\u5206\u8a08\u7b97\u767c\u73fe\uff0c\u9019\u500b\u95dc\u9375\u7dda\u7d22\u88ab\u51b7\u843d\u4e86\u3002\u65bc\u662f<strong>\u628a  <strong><em>W<\/em><\/strong><sub>\u5929\u6c23\u71b1 <\/sub>\u7684\u6578\u503c\u5927\u5e45\u8abf\u9ad8<\/strong>\u3002<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"675\" height=\"71\" src=\"https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/07\/0057DC2E-5910-45CE-B5BE-0B73054B99DC.png\" alt=\"\" class=\"wp-image-885\" srcset=\"https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/07\/0057DC2E-5910-45CE-B5BE-0B73054B99DC.png 675w, https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/07\/0057DC2E-5910-45CE-B5BE-0B73054B99DC-300x32.png 300w\" sizes=\"auto, (max-width: 675px) 100vw, 675px\" \/><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h2 class=\"wp-block-heading\" id=\"vanishing-gradient-%e6%a2%af%e5%ba%a6%e6%b6%88%e5%a4%b1\"><strong>Vanishing Gradient<\/strong> (\u68af\u5ea6\u6d88\u5931)<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u7136\u800c\uff0c\u5982\u679c\u4eca\u5929\u53e5\u5b50\u9577\u5ea6\u8d8a\u4f86\u8d8a\u9577:\u300c[\u4eca\u5929\u5929\u6c23\u71b1] \u2026 (\u4e2d\u9593\u904e\u4e86<strong> 80 <\/strong>\u500b\u5b57\uff0c\u8b1b\u4e86\u4e0a\u5b78\u8def\u4e0a\u8cb7\u65e9\u9910\u3001\u9047\u5230\u540c\u5b78\u3001\u9032\u6559\u5ba4\u3001\u4ea4\u4f5c\u696d) \u2026 \u6240\u4ee5\u6211 [\u7a7f\u77ed\u8932]\u3002\u300d\uff0c<strong>BPTT<\/strong>\u6f14\u7b97\u6cd5\u6703\u9700\u8981\u5012\u9000<strong>80<\/strong>\u6b65\uff0c\u624d\u80fd\u767c\u73fe\u539f\u4f86\u662f\u5929\u6c23\u5f15\u97ff\u7a7f\u8457\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u5fae\u7a4d\u5206\u7684\u300c\u9023\u9396\u5f8b\uff08Chain Rule\uff09\u300d\u6703\u5c0e\u81f4\u81f4\u547d\u554f\u984c\uff1a\u9577\u8ddd\u96e2\u7684\u53cd\u5411\u50b3\u64ad\u9700\u8981\u5c07\u9019\u4e9b\u8b8a\u6578\u9023\u7e8c\u76f8\u4e58\u6578\u5341\u6b21\u3002\u53ea\u8981\u5176\u4e2d\u76f8\u4e58\u7684\u503c\u5c0f\u65bc 1\uff0c\u9023\u7e8c\u72c2\u4e58\u7684\u7d50\u679c\u5c31\u6703\u8b93\u68af\u5ea6\u5448\u6307\u6578\u7d1a\u840e\u7e2e\uff0c\u6700\u7d42\u8da8\u8fd1\u65bc 0\u3002\u5c0e\u81f4 RNN \u6839\u672c\u8a18\u4e0d\u4f4f\u592a\u4e45\u4ee5\u524d\u7684\u524d\u6587\uff0c\u6210\u4e86\u56b4\u91cd\u7684\u300c\u5931\u61b6\u75c7\u300d\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h2 class=\"wp-block-heading\" id=\"long-short-term-memory-units-lstms\">Long Short-Term Memory Units (LSTMs)<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Long Short-Term Memory Units (LSTMs) , \u9577\u77ed\u671f\u8a18\u61b6\u7db2\u8def\uff0c\u4fbf\u662f\u79d1\u5b78\u5bb6\u5011\u767c\u660e\u4f86\u89e3\u6c7a\u9019\u500b\u554f\u984c\u7684\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"282\" height=\"157\" src=\"https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/07\/83D36452-86AB-4E82-9C1B-B669FE79E158.png\" alt=\"\" class=\"wp-image-887\"><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u79d1\u5b78\u5bb6\u5c07\u539f\u672c\u7684\u96b1\u85cf\u72c0\u614b <strong><em>H<\/em><\/strong> \u62c6\u5206\u6210 <strong><em>C<\/em>\uff08Cell State\uff0c\u7d30\u80de\u72c0\u614b\uff09<\/strong>\u7528\u4f86\u7576\u4f5c\u8a18\u61b6 \u8207 <strong><em>H<\/em>\uff08Hidden State\uff0c\u96b1\u85cf\u72c0\u614b\uff09<\/strong>\u7d00\u9304\u6700\u7d42\u7684\u8f38\u51fa\u7d50\u679c\uff0c\u4e26\u65b0\u589e\u4e86\u4e09\u500b \u300c\u9580\u300d\u4f86\u63a7\u5236\u9019\u5169\u500b\u8b8a\u6578\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>1. \u907a\u5fd8\u9580\uff08Forget Gate\uff09\uff1a\u6c7a\u5b9a\u54ea\u4e9b\u820a\u8a18\u61b6\u8a72\u4e1f\u5783\u573e\u6876<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u7576\u65b0\u5b57\u8a5e\u9032\u4f86\u6642\uff0c\u907a\u5fd8\u9580\u6703\u7b2c\u4e00\u500b\u8df3\u51fa\u4f86\u5be9\u67e5\u820a\u8a18\u61b6 <em>C<sub>t-1<\/sub><\/em>\u3002<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><code>\u300c\u5c0f\u660e\u6628\u5929\u53bb\u5403\u4e86\u725b\u6392\u3002\u9694\u5929\uff0c\u5c0f\u83ef...\u300d<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u7576\u8b80\u5230 <code>\u300c\u5c0f\u83ef\u300d<\/code> \u6642\uff0c<strong>\u907a\u5fd8\u9580<\/strong>\u6703\u767c\u73fe:\u300c\u4e3b\u8a5e\u63db\u4eba\u4e86\uff01\u524d\u9762\u95dc\u65bc\u300e\u5c0f\u660e\u300f\u548c\u300e\u725b\u6392\u300f\u7684\u8a18\u61b6\u5df2\u7d93\u4e0d\u91cd\u8981\u4e86\uff01\u300d\u4fbf\u628a\u8b8a\u6578 <strong><em>C<\/em><\/strong> \u88e1\u9762\u95dc\u65bc\u5c0f\u660e\u7684\u8a18\u61b6<strong>\u76f4\u63a5\u4e58\u4ee5 0<\/strong>\uff0c\u6e05\u51fa\u7a7a\u9593\u7d66\u65b0\u4e3b\u89d2\u3002<\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>2. \u8f38\u5165\u9580\uff08Input Gate\uff09\uff1a\u6c7a\u5b9a\u54ea\u4e9b\u65b0\u8cc7\u8a0a\u8a72\u8a18\u4e0b\u4f86<\/strong><\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><code>\u300c\u9694\u5929\uff0c\u5c0f\u83ef\u5728\u8def\u4e0a\u770b\u5230\u4e00\u96bb\u9ed1\u8272\u7684\u72d7\uff0c\u7136\u5f8c\u4ed6\u8d70\u9032\u4e86\u3010\u5fae\u7a4d\u5206\u3011\u8003\u5834...\u300d<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u8f38\u5165\u9580<\/strong>\u958b\u59cb\u7be9\u9078\uff1a<code>\u300c\u9ed1\u8272\u7684\u72d7\u300d<\/code>\uff1f\u9019\u8ddf\u5f8c\u9762\u7684\u63a8\u7406\u53ef\u80fd\u6c92\u95dc\u4fc2\uff0c\u5206\u914d\u4f4e\u6b0a\u91cd\u3002<code>\u300c\u5fae\u7a4d\u5206\u8003\u5834\u300d<\/code>\uff1f\u9019\u8d85\u7d1a\u91cd\u8981\uff01\u7acb\u523b\u6253\u5305\u653e\u9032\u8b8a\u6578<strong> <em>C<\/em><\/strong>\u3002<\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>3. \u8f38\u51fa\u9580\uff08Output Gate\uff09\uff1a\u6c7a\u5b9a\u73fe\u5728\u8981\u5410\u51fa\u4ec0\u9ebc\u7b54\u6848<\/strong><\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><code>\u300c\u5c0f\u83ef\u770b\u8457\u767c\u4e0b\u4f86\u7684\u8003\u5377\uff0c\u4e0d\u7981\u60b2\u5f9e\u4e2d\u4f86\uff0c\u56e0\u70ba\u4ed6\u6839\u672c\u4e0d\u6703\u7b97 [ ]\u300d<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u8f38\u51fa\u9580<\/strong>\u9019\u6642\u6703\u53bb\u7ffb\u8b8a\u6578<strong> <em>C<\/em><\/strong>\uff0c\u628a\u525b\u525b<strong>\u8f38\u5165\u9580<\/strong>\u56b4\u683c\u5b58\u4e0b\u4f86\u7684 <code>\u300c\u5fae\u7a4d\u5206\u300d<\/code> \u63d0\u7149\u51fa\u4f86\uff0c\u8b93 AI \u5728\u7a7a\u683c\u88e1\u4fe1\u5fc3\u6eff\u6eff\u5730\u5410\u51fa\uff1a<code>\u300c\u5c0e\u51fd\u6578\u300d<\/code> \u6216 <code>\u300c\u6975\u9650\u300d<\/code>\u3002<\/p>\n<\/blockquote>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h2 class=\"wp-block-heading\" id=\"deep-recurrent-neural-networks-drnns\">Deep Recurrent Neural Networks (DRNNs)<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u5230\u9019\u88e1\u597d\u50cf\u5df2\u7d93\u5f88\u5b8c\u7f8e\u4e86\uff0c\u4f46\u4f60\u8981\u77e5\u9053\uff0c\u4eba\u985e\u7684\u8a9e\u8a00\u53ef\u662f\u9019\u4e16\u754c\u4e0a\u6700\u8907\u96dc\u7684\u6771\u897f\uff0c\u4e00\u53e5\u8a71\u7684\u610f\u601d\uff0c\u771f\u7684\u662f\u8868\u9762\u4e0a\u7684\u90a3\u6a23\u55ce? \u96fb\u8166\u53c8\u8981\u600e\u9ebc\u77e5\u9053\u9019\u53e5\u8a71\u80cc\u5f8c\u7684\u610f\u601d\u662f\u4ec0\u9ebc? \u56e0\u6b64\u6709\u4e86DRNN\u8a95\u751f\uff0c\u7528\u4f86\u7406\u89e3\u300c\u62bd\u8c61\u300d\u9019\u4ef6\u4e8b\u7684\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u8209\u500b\u4f8b\u5b50: \u300c\u8001\u738b\u5728\u6697\u5df7\u88e1\u9ede\u71c3\u4e86\u6253\u706b\u6a5f\uff0c\u706b\u5149\u7167\u4eae\u4e86\u4ed6\u81c9\u4e0a\u7684\u5200\u75a4\u3002\u300d\u5927\u90e8\u5206\u4eba\u7684\u7b2c\u4e00\u76f4\u89ba\u61c9\u8a72\u90fd\u662f: \u300c\u8001\u738b\u53ef\u80fd\u4e0d\u592a\u597d\u76f8\u8655\u7684\u611f\u89ba\u300d\u3001\u300c\u8001\u738b\u611f\u89ba\u662f\u58de\u4eba\u300d\uff0c\u4f46\u5c0d\u96fb\u8166\u4f86\u8aaa\uff0c\u5b83\u53ea\u6703\u89ba\u5f97\u8001\u738b\u5c31\u53ea\u662f\u4e00\u500b\u300c\u81c9\u4e0a\u6709\u5200\u75a4\u7684\u4eba\u300d\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u5728 DRNN \u7684\u4e16\u754c\u88e1\uff0c\u96b1\u85cf\u72c0\u614b <em>H<\/em> \u4e0d\u53ea\u6703\u50b3\u7d66\u540c\u4e00\u500b\u5c64\u7d1a\u7684\u4e0b\u4e00\u500b\u5b57\uff0c\u9084\u6703<strong>\u7576\u4f5c\u8f38\u5165\uff0c\u76f4\u63a5\u9935\u7d66\u5b83\u982d\u9802\u4e0a\u7684\u90a3\u4e00\u5c64 RNN<\/strong>\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u7e31\u5411\uff08\u6642\u9593\u8ef8\uff09\uff1a<\/strong> \u8ca0\u8cac\u8655\u7406\u6642\u9593\u7684\u5148\u5f8c\u9806\u5e8f\uff08\u4e00\u908a\u8b80\u5b57\u4e00\u908a\u5f80\u5f8c\u50b3\uff09\u3002<\/li>\n\n\n\n<li><strong>\u6a6b\u5411\uff08\u7a7a\u9593\/\u5c64\u7d1a\u8ef8\uff09\uff1a<\/strong> \u8ca0\u8cac\u9032\u884c\u300c\u7279\u5fb5\u7684\u62bd\u8c61\u5316\u300d\u3002<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"562\" height=\"265\" src=\"https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/07\/10740AD0-3A5C-41B8-A564-5B40D9DDE4DB.png\" alt=\"\" class=\"wp-image-890\" srcset=\"https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/07\/10740AD0-3A5C-41B8-A564-5B40D9DDE4DB.png 562w, https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/07\/10740AD0-3A5C-41B8-A564-5B40D9DDE4DB-300x141.png 300w\" sizes=\"auto, (max-width: 562px) 100vw, 562px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u4ee5\u525b\u525b\u7684\u8001\u738b\u5ea7\u8209\u4f8b\uff0c\u5c0d\u7b2c\u4e00\u5c64RNN\u800c\u8a00: <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u4efb\u52d9\uff1a<\/strong> \u8655\u7406\u6700\u57fa\u790e\u7684\u8a5e\u5f59\u3001\u6587\u6cd5\u548c\u8a9e\u8abf\u3002<\/li>\n\n\n\n<li><strong>\u5927\u8166\u904b\u4f5c\uff1a<\/strong> \u8b80\u5230 <code>\u300c\u8001\u738b\u300d<\/code>\uff08\u540d\u8a5e\uff09\u3001<code>\u300c\u9ede\u71c3\u300d<\/code>\uff08\u52d5\u8a5e\uff09\u3001<code>\u300c\u6253\u706b\u6a5f\u300d<\/code>\uff08\u540d\u8a5e\uff09\u3002<\/li>\n\n\n\n<li><strong>\u50b3\u905e\u8a0a\u606f\uff1a<\/strong> \u5b83\u4e0d\u63a2\u8a0e\u52d5\u6a5f\uff0c\u53ea\u662f\u628a\u770b\u898b\u7684\u5b57\u4e32\u806f\u8d77\u4f86\uff0c\u505a\u6210\u57fa\u790e\u7b46\u9304\uff0c\u7136\u5f8c<strong>\u5f80\u4e0a\u62cb\u7d66\u7b2c\u4e8c\u5c64<\/strong>\u3002<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u7b2c\u4e8c\u5c64RNN: <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u4efb\u52d9\uff1a<\/strong> \u63a5\u6536\u7b2c\u4e00\u5c64\u7684\u7b46\u9304\uff0c\u958b\u59cb\u5728\u6642\u9593\u8ef8\u4e0a\u6355\u6349\u300c\u52d5\u4f5c\u8207\u5834\u666f\u300d\u7684\u5c40\u90e8\u95dc\u806f\u3002<\/li>\n\n\n\n<li><strong>\u5927\u8166\u904b\u4f5c\uff1a<\/strong> \u628a <code>\u300c\u6697\u5df7\u300d<\/code>\u3001<code>\u300c\u9ede\u71c3\u300d<\/code>\u3001<code>\u300c\u706b\u5149\u300d<\/code> \u4e32\u5728\u4e00\u8d77\u3002\u5b83\u7684\u96b1\u85cf\u72c0\u614b\u5f97\u51fa\u7d50\u8ad6\uff1a\u300c\u9019\u662f\u4e00\u500b\u5728\u9ed1\u6697\u4e2d\u5c0b\u627e\u5149\u7dda\u7684\u52d5\u4f5c\uff0c\u74b0\u5883\u6709\u9ede\u5371\u96aa\u3002\u300d<\/li>\n\n\n\n<li><strong>\u50b3\u905e\u8a0a\u606f\uff1a<\/strong> \u63d0\u7149\u51fa\u60c5\u5883\u6c1b\u570d\u5f8c\uff0c\u7e7c\u7e8c<strong>\u5f80\u4e0a\u62cb\u7d66\u7b2c\u4e09\u5c64<\/strong>\u3002<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u9084\u662f\u4e0d\u78ba\u5b9a\u60f3\u8868\u9054\u4ec0\u9ebc\uff0c\u65bc\u662f\u50b3\u7d66\u7b2c\u4e09\u5c64: <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u4efb\u52d9\uff1a<\/strong> \u7ad9\u5728\u5de8\u4eba\u7684\u80a9\u8180\u4e0a\uff0c\u9032\u884c\u6700\u9ad8\u96e3\u5ea6\u7684\u300c\u8a9e\u7fa9\u8207\u60c5\u611f\u5206\u6790\u300d\u3002<\/li>\n\n\n\n<li><strong>\u5927\u8166\u904b\u4f5c\uff1a<\/strong> \u5b83\u7d50\u5408\u4e86\u4e2d\u5c64\u50b3\u4e0a\u4f86\u7684\u300c\u5371\u96aa\u6697\u5df7\u60c5\u5883\u300d\uff0c\u53c8\u770b\u5230\u4e86\u5f8c\u9762\u7684 <code>\u300c\u5200\u75a4\u300d<\/code>\u3002\u6b64\u6642\u6700\u9ad8\u5c64\u7684 $H$ \u878d\u6703\u8cab\u901a\uff0c\u5f97\u51fa\u7d42\u6975\u7d50\u8ad6\uff1a<strong>\u300c\u9019\u662f\u4e00\u90e8\u61f8\u7591\u72af\u7f6a\u96fb\u5f71\u7684\u958b\u982d\uff0c\u8001\u738b\u53ef\u80fd\u662f\u4e00\u500b\u6709\u6545\u4e8b\u7684\u53cd\u6d3e\u89d2\u8272\u3002\u300d<\/strong><\/li>\n<\/ul>\n\n\n\n<h1 class=\"wp-block-heading\" id=\"%e7%b5%90\">\u7d50<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">DRNN \u662f\u4eba\u985e\u5728 Transformer \u6280\u8853(\u4e4b\u5f8c\u6703\u8aaa\u5230) \u554f\u4e16\u524d\uff0c<strong>\u70ba\u4e86\u69a8\u51fa AI \u8a9e\u610f\u7406\u89e3\u6975\u9650\u7684\u66b4\u529b\u5617\u8a66<\/strong>\u3002\u5b83\u8b49\u660e\u4e86\u300c\u6df1\u5ea6\u300d\u5728\u81ea\u7136\u8a9e\u8a00\u8655\u7406\u4e2d\u7684\u91cd\u8981\u6027\u2014\u2014<strong>\u60f3\u7406\u89e3\u4eba\u985e\u8907\u96dc\u7684\u8a9e\u8a00\uff0cAI \u7684\u5927\u8166\u5fc5\u9808\u65e2\u6709\u7e31\u5411\u7684\u8a18\u61b6\uff08Time\uff09\uff0c\u4e5f\u8981\u6709\u6a6b\u5411\u7684\u6df1\u5ea6\uff08Depth\uff09\u3002<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4ee5\u4e0b\u5167\u5bb9\u662f\u6211\u6839\u64daRecurrent Neural Networks (RNNs): A gentle Introduction and Overview\u9019\u7bc7\u8ad6\u6587\u7684\u8b80\u5f8c\u91cd\u9ede\u6574\u7406 https:\/\/arxiv.org\/pdf\/1912.05911 \u5728\u4e86\u89e3Agent\u4e4b\u524d\u6211\u5011\u9700\u8981\u5148\u4f86\u4e86\u89e3\u4ec0\u9ebc\u662fLLM\uff0c\u4f46\u662f\u4e86\u89e3L L M\u662f\u4ec0\u9ebc\u4e4b\u524d\uff0c\u6211\u5011\u5fc5\u9808\u5148\u8981\u4e86\u89e3\u4ec0\u9ebc\u662f\u795e\u7d93\u7db2\u8def\uff01 *\u8a3b \u4ee5\u4e0b\u5167\u6587\u5716\u7247\u7686\u51fa\u81ea\u65bcRecurrent Neural Networks (RNNs): A gentle Introduction and Overview\u9019\u7bc7\u8ad6\u6587 Feed Forward NN (\u524d\u994b\u795e\u7d93\u7db2\u8def) \u9019\u662f\u6700\u50b3\u7d71\u7684\u795e\u7d93\u7db2\u8def\u67b6\u69cb\uff0c\u8a0a\u606f\u50cf\u55ae\u884c\u9053\u4e00\u6a23\uff0c\u53ea\u80fd\u5f9e\u8f38\u5165\u5c64\u4e00\u8def\u5411\u524d\u50b3\u905e\u5230\u8f38\u51fa\u5c64\u3002\u5b83\u64c5\u9577\u8655\u7406\u5f7c\u6b64\u7368\u7acb\u7684\u975c\u614b\u8cc7\u6599\uff08\u5982\u5206\u985e\u5716\u7247\uff09\uff0c\u4f46\u7576\u9762\u5c0d\u4eba\u985e\u7684\u300c\u8a9e\u8a00\u300d\u6642\u5c31\u78b0\u58c1\u4e86\u3002\u56e0\u70ba\u8a9e\u8a00\u662f\u5177\u6709\u524d\u5f8c\u6587\u95dc\u806f\u7684\u300c\u5e8f\u5217\u578b\u8cc7\u6599\u300d\uff08Sequence Data\uff09\uff0c\u800c\u524d\u994b\u795e\u7d93\u7db2\u8def\u7f3a\u4e4f\u6642\u9593\u6982\u5ff5\uff0c\u7121\u6cd5\u628a\u4e0a\u4e00\u500b\u5b57\u548c\u4e0b\u4e00\u500b\u5b57\u4e32\u806f\u8d77\u4f86\u3002\u9019\u7a2e\u300c\u6c92\u6709\u8a18\u61b6\u300d\u7684\u81f4\u547d\u50b7\uff0c\u4fc3\u4f7f\u4e86\u80fd\u8655\u7406\u6642\u9593\u5e8f\u5217\u7684 RNN \u8a95\u751f\u3002 Recurrent NN (\u5faa\u74b0\u795e\u7d93\u7db2\u8def) \u70ba\u4e86\u8b93\u7db2\u8def\u6709\u8a18\u61b6\uff0cRNN \u5f15\u5165\u4e86\u300c\u96b1\u85cf\u72c0\u614b\uff08Hidden State, H\uff09\u300d\u4f86\u66ab\u5b58\u4e0a\u4e0b\u6587\u7684\u8a18\u61b6\u9ad4\u3002\u800c\u7db2\u8def\u5982\u4f55\u8655\u7406\u9019\u4e9b\u8a18\u61b6\uff0c\u5247\u7531\u300c\u6b0a\u91cd\u77e9\u9663\uff08W\uff09\u300d\u4f86\u6c7a\u5b9a\u3002 \u6b0a\u91cd\u77e9\u9663\u5c31\u50cf\u662f\u4e00\u500b\u300c\u8a18\u61b6\u52a0\u5de5\u516c\u5f0f\u300d\uff0c\u8ca0\u8cac\u6c7a\u5b9a\uff1a\u300c\u7576\u524d\u9032\u4f86\u7684\u5b57\uff0c\u548c\u524d\u4e00\u6b65\u7559\u4e0b\u4f86\u7684\u8a18\u61b6\uff0c\u8981\u5982\u4f55\u878d\u5408\u4e26\u50b3\u5230\u4e0b\u4e00\u6b65\u300d\u3002(e.g. \u300c\u5c0f\u660e\u51fa\u751f\u5728\u53f0\u7063\uff0c\u4ed6\u5f88\u53f0\u2026\u300d \u52a0\u5de5\u6210=&gt; \u300c\u4e00\u500b\u8ddf\u53f0\u7063\u6709\u5f37\u70c8\u9023\u7d50\u7684\u5c0f\u660e \u300d) \u4f46\u96fb\u8166\u4e0d\u77e5\u9053\u4eba\u985e\u7684\u8a9e\u8a00\u898f\u5247\uff0c\u600e\u9ebc\u77e5\u9053\u201d\u5f88\u53f0\u201c\u4ee3\u8868\u201c\u8ddf\u53f0\u7063\u6709\u5f37\u70c8\u9023\u7d50\u201d ? \u56e0\u6b64\uff0c\u5de5\u7a0b\u5e2b\u6703\u9700\u8981\u5148\u900f\u904e\u975e\u5e38\u9f90\u5927\u7684\u6578\u64da\u4f86\u8a13\u7df4\u9019\u500bRNN\uff0c\u8b93\u4ed6\u77e5\u9053: \u300c\u4eca\u5929\u5f88\u71b1\uff0c\u7b49\u4e00\u4e0b\u8981\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u300d\u9019\u53e5\u8a71\u4e2d\uff0c\u5929\u6c23\u5f88\u71b1\u624d\u662f\u7a7f\u77ed\u8932\u7684\u539f\u56e0\u3002 Backpropagation Through Time (BPTT) \u800c\u5de5\u7a0b\u5e2b\u5728\u8a13\u7df4RNN\u6642\uff0c\u6703\u4f7f\u7528\u4f7f\u7528\u300c\u96a8\u6642\u9593\u53cd\u5411\u50b3\u64ad\uff08BPTT\uff09\u300d\u6f14\u7b97\u6cd5\uff0c\u900f\u904e\u504f\u5fae\u5206\u8a08\u7b97\u8aa4\u5dee\uff0c\u4e26\u56de\u982d\u66f4\u65b0 W\u3002 \u6cbf\u7528\u300c\u4eca\u5929\u5f88\u71b1\uff0c\u7b49\u4e00\u4e0b\u8981\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u300d\u9019\u53e5\u8a71\u4f5c\u7bc4\u4f8b\uff0c\u4e00\u958b\u59cbRNN\u6703\u5fd9\u731c: \u56e0\u70ba\u53bb\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u3002\u63a5\u8457\u5de5\u7a0b\u5e2b\u6703\u544a\u8a34RNN: [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":520,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"class_list":["post-883","page","type-page","status-publish","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u4ee5\u4e0b\u5167\u5bb9\u662f\u6211\u6839\u64daRecurrent Neural Networks (RNNs): A gentle Introduction and Overview\u9019\u7bc7\u8ad6\u6587\u7684\u8b80\u5f8c\u91cd\u9ede\u6574\u7406 https:\/\/arxiv.org\/pdf\/1912.05911 \u5728\u4e86\u89e3Agent\u4e4b\u524d\u6211\u5011\u9700\u8981\u5148\u4f86\u4e86\u89e3\u4ec0\u9ebc\u662fLLM\uff0c\u4f46\u662f\u4e86\u89e3L L M\u662f\u4ec0\u9ebc\u4e4b\u524d\uff0c\u6211\u5011\u5fc5\u9808\u5148\u8981\u4e86\u89e3\u4ec0\u9ebc\u662f\u795e\u7d93\u7db2\u8def\uff01 *\u8a3b \u4ee5\u4e0b\u5167\u6587\u5716\u7247\u7686\u51fa\u81ea\u65bcRecurrent Neural Networks (RNNs): A gentle Introduction and Overview\u9019\u7bc7\u8ad6\u6587 Feed Forward NN (\u524d\u994b\u795e\u7d93\u7db2\u8def) \u9019\u662f\u6700\u50b3\u7d71\u7684\u795e\u7d93\u7db2\u8def\u67b6\u69cb\uff0c\u8a0a\u606f\u50cf\u55ae\u884c\u9053\u4e00\u6a23\uff0c\u53ea\u80fd\u5f9e\u8f38\u5165\u5c64\u4e00\u8def\u5411\u524d\u50b3\u905e\u5230\u8f38\u51fa\u5c64\u3002\u5b83\u64c5\u9577\u8655\u7406\u5f7c\u6b64\u7368\u7acb\u7684\u975c\u614b\u8cc7\u6599\uff08\u5982\u5206\u985e\u5716\u7247\uff09\uff0c\u4f46\u7576\u9762\u5c0d\u4eba\u985e\u7684\u300c\u8a9e\u8a00\u300d\u6642\u5c31\u78b0\u58c1\u4e86\u3002\u56e0\u70ba\u8a9e\u8a00\u662f\u5177\u6709\u524d\u5f8c\u6587\u95dc\u806f\u7684\u300c\u5e8f\u5217\u578b\u8cc7\u6599\u300d\uff08Sequence Data\uff09\uff0c\u800c\u524d\u994b\u795e\u7d93\u7db2\u8def\u7f3a\u4e4f\u6642\u9593\u6982\u5ff5\uff0c\u7121\u6cd5\u628a\u4e0a\u4e00\u500b\u5b57\u548c\u4e0b\u4e00\u500b\u5b57\u4e32\u806f\u8d77\u4f86\u3002\u9019\u7a2e\u300c\u6c92\u6709\u8a18\u61b6\u300d\u7684\u81f4\u547d\u50b7\uff0c\u4fc3\u4f7f\u4e86\u80fd\u8655\u7406\u6642\u9593\u5e8f\u5217\u7684 RNN \u8a95\u751f\u3002 Recurrent NN (\u5faa\u74b0\u795e\u7d93\u7db2\u8def) \u70ba\u4e86\u8b93\u7db2\u8def\u6709\u8a18\u61b6\uff0cRNN \u5f15\u5165\u4e86\u300c\u96b1\u85cf\u72c0\u614b\uff08Hidden State, H\uff09\u300d\u4f86\u66ab\u5b58\u4e0a\u4e0b\u6587\u7684\u8a18\u61b6\u9ad4\u3002\u800c\u7db2\u8def\u5982\u4f55\u8655\u7406\u9019\u4e9b\u8a18\u61b6\uff0c\u5247\u7531\u300c\u6b0a\u91cd\u77e9\u9663\uff08W\uff09\u300d\u4f86\u6c7a\u5b9a\u3002 \u6b0a\u91cd\u77e9\u9663\u5c31\u50cf\u662f\u4e00\u500b\u300c\u8a18\u61b6\u52a0\u5de5\u516c\u5f0f\u300d\uff0c\u8ca0\u8cac\u6c7a\u5b9a\uff1a\u300c\u7576\u524d\u9032\u4f86\u7684\u5b57\uff0c\u548c\u524d\u4e00\u6b65\u7559\u4e0b\u4f86\u7684\u8a18\u61b6\uff0c\u8981\u5982\u4f55\u878d\u5408\u4e26\u50b3\u5230\u4e0b\u4e00\u6b65\u300d\u3002(e.g. \u300c\u5c0f\u660e\u51fa\u751f\u5728\u53f0\u7063\uff0c\u4ed6\u5f88\u53f0\u2026\u300d \u52a0\u5de5\u6210=&gt; \u300c\u4e00\u500b\u8ddf\u53f0\u7063\u6709\u5f37\u70c8\u9023\u7d50\u7684\u5c0f\u660e \u300d) \u4f46\u96fb\u8166\u4e0d\u77e5\u9053\u4eba\u985e\u7684\u8a9e\u8a00\u898f\u5247\uff0c\u600e\u9ebc\u77e5\u9053&quot;\u5f88\u53f0&quot;\u4ee3\u8868&quot;\u8ddf\u53f0\u7063\u6709\u5f37\u70c8\u9023\u7d50&quot; ? \u56e0\u6b64\uff0c\u5de5\u7a0b\u5e2b\u6703\u9700\u8981\u5148\u900f\u904e\u975e\u5e38\u9f90\u5927\u7684\u6578\u64da\u4f86\u8a13\u7df4\u9019\u500bRNN\uff0c\u8b93\u4ed6\u77e5\u9053: \u300c\u4eca\u5929\u5f88\u71b1\uff0c\u7b49\u4e00\u4e0b\u8981\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u300d\u9019\u53e5\u8a71\u4e2d\uff0c\u5929\u6c23\u5f88\u71b1\u624d\u662f\u7a7f\u77ed\u8932\u7684\u539f\u56e0\u3002 Backpropagation Through Time (BPTT) \u800c\u5de5\u7a0b\u5e2b\u5728\u8a13\u7df4RNN\u6642\uff0c\u6703\u4f7f\u7528\u4f7f\u7528\u300c\u96a8\u6642\u9593\u53cd\u5411\u50b3\u64ad\uff08BPTT\uff09\u300d\u6f14\u7b97\u6cd5\uff0c\u900f\u904e\u504f\u5fae\u5206\u8a08\u7b97\u8aa4\u5dee\uff0c\u4e26\u56de\u982d\u66f4\u65b0 W\u3002 \u6cbf\u7528\u300c\u4eca\u5929\u5f88\u71b1\uff0c\u7b49\u4e00\u4e0b\u8981\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u300d\u9019\u53e5\u8a71\u4f5c\u7bc4\u4f8b\uff0c\u4e00\u958b\u59cbRNN\u6703\u5fd9\u731c: \u56e0\u70ba\u53bb\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u3002\u63a5\u8457\u5de5\u7a0b\u5e2b\u6703\u544a\u8a34RNN:\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"google-site-verification\" content=\"-324YR5tomynX5FeTW2lTMHIX0KmPBvpxjXpOhXwi1Q\" \/>\n\t<link rel=\"canonical\" href=\"https:\/\/hyc.eshachem.com\/program\/llm-agent\/ai-%ef%bc%8d-before-llm\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 4.9.10\" \/>\n\t\t<meta property=\"og:locale\" content=\"en_US\" \/>\n\t\t<meta property=\"og:site_name\" content=\"HyC Wiki - Technical articles\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"1. \u795e\u7d93\u7db2\u8def: \u5728LLM\u4e4b\u524d - HyC Wiki\" \/>\n\t\t<meta property=\"og:description\" content=\"\u4ee5\u4e0b\u5167\u5bb9\u662f\u6211\u6839\u64daRecurrent Neural Networks (RNNs): A gentle Introduction and Overview\u9019\u7bc7\u8ad6\u6587\u7684\u8b80\u5f8c\u91cd\u9ede\u6574\u7406 https:\/\/arxiv.org\/pdf\/1912.05911 \u5728\u4e86\u89e3Agent\u4e4b\u524d\u6211\u5011\u9700\u8981\u5148\u4f86\u4e86\u89e3\u4ec0\u9ebc\u662fLLM\uff0c\u4f46\u662f\u4e86\u89e3L L M\u662f\u4ec0\u9ebc\u4e4b\u524d\uff0c\u6211\u5011\u5fc5\u9808\u5148\u8981\u4e86\u89e3\u4ec0\u9ebc\u662f\u795e\u7d93\u7db2\u8def\uff01 *\u8a3b \u4ee5\u4e0b\u5167\u6587\u5716\u7247\u7686\u51fa\u81ea\u65bcRecurrent Neural Networks (RNNs): A gentle Introduction and Overview\u9019\u7bc7\u8ad6\u6587 Feed Forward NN (\u524d\u994b\u795e\u7d93\u7db2\u8def) \u9019\u662f\u6700\u50b3\u7d71\u7684\u795e\u7d93\u7db2\u8def\u67b6\u69cb\uff0c\u8a0a\u606f\u50cf\u55ae\u884c\u9053\u4e00\u6a23\uff0c\u53ea\u80fd\u5f9e\u8f38\u5165\u5c64\u4e00\u8def\u5411\u524d\u50b3\u905e\u5230\u8f38\u51fa\u5c64\u3002\u5b83\u64c5\u9577\u8655\u7406\u5f7c\u6b64\u7368\u7acb\u7684\u975c\u614b\u8cc7\u6599\uff08\u5982\u5206\u985e\u5716\u7247\uff09\uff0c\u4f46\u7576\u9762\u5c0d\u4eba\u985e\u7684\u300c\u8a9e\u8a00\u300d\u6642\u5c31\u78b0\u58c1\u4e86\u3002\u56e0\u70ba\u8a9e\u8a00\u662f\u5177\u6709\u524d\u5f8c\u6587\u95dc\u806f\u7684\u300c\u5e8f\u5217\u578b\u8cc7\u6599\u300d\uff08Sequence Data\uff09\uff0c\u800c\u524d\u994b\u795e\u7d93\u7db2\u8def\u7f3a\u4e4f\u6642\u9593\u6982\u5ff5\uff0c\u7121\u6cd5\u628a\u4e0a\u4e00\u500b\u5b57\u548c\u4e0b\u4e00\u500b\u5b57\u4e32\u806f\u8d77\u4f86\u3002\u9019\u7a2e\u300c\u6c92\u6709\u8a18\u61b6\u300d\u7684\u81f4\u547d\u50b7\uff0c\u4fc3\u4f7f\u4e86\u80fd\u8655\u7406\u6642\u9593\u5e8f\u5217\u7684 RNN \u8a95\u751f\u3002 Recurrent NN (\u5faa\u74b0\u795e\u7d93\u7db2\u8def) \u70ba\u4e86\u8b93\u7db2\u8def\u6709\u8a18\u61b6\uff0cRNN \u5f15\u5165\u4e86\u300c\u96b1\u85cf\u72c0\u614b\uff08Hidden State, H\uff09\u300d\u4f86\u66ab\u5b58\u4e0a\u4e0b\u6587\u7684\u8a18\u61b6\u9ad4\u3002\u800c\u7db2\u8def\u5982\u4f55\u8655\u7406\u9019\u4e9b\u8a18\u61b6\uff0c\u5247\u7531\u300c\u6b0a\u91cd\u77e9\u9663\uff08W\uff09\u300d\u4f86\u6c7a\u5b9a\u3002 \u6b0a\u91cd\u77e9\u9663\u5c31\u50cf\u662f\u4e00\u500b\u300c\u8a18\u61b6\u52a0\u5de5\u516c\u5f0f\u300d\uff0c\u8ca0\u8cac\u6c7a\u5b9a\uff1a\u300c\u7576\u524d\u9032\u4f86\u7684\u5b57\uff0c\u548c\u524d\u4e00\u6b65\u7559\u4e0b\u4f86\u7684\u8a18\u61b6\uff0c\u8981\u5982\u4f55\u878d\u5408\u4e26\u50b3\u5230\u4e0b\u4e00\u6b65\u300d\u3002(e.g. \u300c\u5c0f\u660e\u51fa\u751f\u5728\u53f0\u7063\uff0c\u4ed6\u5f88\u53f0\u2026\u300d \u52a0\u5de5\u6210=&gt; \u300c\u4e00\u500b\u8ddf\u53f0\u7063\u6709\u5f37\u70c8\u9023\u7d50\u7684\u5c0f\u660e \u300d) \u4f46\u96fb\u8166\u4e0d\u77e5\u9053\u4eba\u985e\u7684\u8a9e\u8a00\u898f\u5247\uff0c\u600e\u9ebc\u77e5\u9053&quot;\u5f88\u53f0&quot;\u4ee3\u8868&quot;\u8ddf\u53f0\u7063\u6709\u5f37\u70c8\u9023\u7d50&quot; ? \u56e0\u6b64\uff0c\u5de5\u7a0b\u5e2b\u6703\u9700\u8981\u5148\u900f\u904e\u975e\u5e38\u9f90\u5927\u7684\u6578\u64da\u4f86\u8a13\u7df4\u9019\u500bRNN\uff0c\u8b93\u4ed6\u77e5\u9053: \u300c\u4eca\u5929\u5f88\u71b1\uff0c\u7b49\u4e00\u4e0b\u8981\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u300d\u9019\u53e5\u8a71\u4e2d\uff0c\u5929\u6c23\u5f88\u71b1\u624d\u662f\u7a7f\u77ed\u8932\u7684\u539f\u56e0\u3002 Backpropagation Through Time (BPTT) \u800c\u5de5\u7a0b\u5e2b\u5728\u8a13\u7df4RNN\u6642\uff0c\u6703\u4f7f\u7528\u4f7f\u7528\u300c\u96a8\u6642\u9593\u53cd\u5411\u50b3\u64ad\uff08BPTT\uff09\u300d\u6f14\u7b97\u6cd5\uff0c\u900f\u904e\u504f\u5fae\u5206\u8a08\u7b97\u8aa4\u5dee\uff0c\u4e26\u56de\u982d\u66f4\u65b0 W\u3002 \u6cbf\u7528\u300c\u4eca\u5929\u5f88\u71b1\uff0c\u7b49\u4e00\u4e0b\u8981\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u300d\u9019\u53e5\u8a71\u4f5c\u7bc4\u4f8b\uff0c\u4e00\u958b\u59cbRNN\u6703\u5fd9\u731c: \u56e0\u70ba\u53bb\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u3002\u63a5\u8457\u5de5\u7a0b\u5e2b\u6703\u544a\u8a34RNN:\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/hyc.eshachem.com\/program\/llm-agent\/ai-%ef%bc%8d-before-llm\/\" \/>\n\t\t<meta property=\"og:image\" content=\"https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/06\/cropped-cropped-\u672a\u547d\u540d\u8a2d\u8a08-4.png\" \/>\n\t\t<meta property=\"og:image:secure_url\" content=\"https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/06\/cropped-cropped-\u672a\u547d\u540d\u8a2d\u8a08-4.png\" \/>\n\t\t<meta property=\"og:image:width\" content=\"64\" \/>\n\t\t<meta property=\"og:image:height\" content=\"64\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2026-07-03T15:15:36+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2026-07-04T02:28:10+00:00\" \/>\n\t\t<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n\t\t<meta name=\"twitter:title\" content=\"1. \u795e\u7d93\u7db2\u8def: \u5728LLM\u4e4b\u524d - HyC Wiki\" \/>\n\t\t<meta name=\"twitter:description\" content=\"\u4ee5\u4e0b\u5167\u5bb9\u662f\u6211\u6839\u64daRecurrent Neural Networks (RNNs): A gentle Introduction and Overview\u9019\u7bc7\u8ad6\u6587\u7684\u8b80\u5f8c\u91cd\u9ede\u6574\u7406 https:\/\/arxiv.org\/pdf\/1912.05911 \u5728\u4e86\u89e3Agent\u4e4b\u524d\u6211\u5011\u9700\u8981\u5148\u4f86\u4e86\u89e3\u4ec0\u9ebc\u662fLLM\uff0c\u4f46\u662f\u4e86\u89e3L L M\u662f\u4ec0\u9ebc\u4e4b\u524d\uff0c\u6211\u5011\u5fc5\u9808\u5148\u8981\u4e86\u89e3\u4ec0\u9ebc\u662f\u795e\u7d93\u7db2\u8def\uff01 *\u8a3b \u4ee5\u4e0b\u5167\u6587\u5716\u7247\u7686\u51fa\u81ea\u65bcRecurrent Neural Networks (RNNs): A gentle Introduction and Overview\u9019\u7bc7\u8ad6\u6587 Feed Forward NN (\u524d\u994b\u795e\u7d93\u7db2\u8def) \u9019\u662f\u6700\u50b3\u7d71\u7684\u795e\u7d93\u7db2\u8def\u67b6\u69cb\uff0c\u8a0a\u606f\u50cf\u55ae\u884c\u9053\u4e00\u6a23\uff0c\u53ea\u80fd\u5f9e\u8f38\u5165\u5c64\u4e00\u8def\u5411\u524d\u50b3\u905e\u5230\u8f38\u51fa\u5c64\u3002\u5b83\u64c5\u9577\u8655\u7406\u5f7c\u6b64\u7368\u7acb\u7684\u975c\u614b\u8cc7\u6599\uff08\u5982\u5206\u985e\u5716\u7247\uff09\uff0c\u4f46\u7576\u9762\u5c0d\u4eba\u985e\u7684\u300c\u8a9e\u8a00\u300d\u6642\u5c31\u78b0\u58c1\u4e86\u3002\u56e0\u70ba\u8a9e\u8a00\u662f\u5177\u6709\u524d\u5f8c\u6587\u95dc\u806f\u7684\u300c\u5e8f\u5217\u578b\u8cc7\u6599\u300d\uff08Sequence Data\uff09\uff0c\u800c\u524d\u994b\u795e\u7d93\u7db2\u8def\u7f3a\u4e4f\u6642\u9593\u6982\u5ff5\uff0c\u7121\u6cd5\u628a\u4e0a\u4e00\u500b\u5b57\u548c\u4e0b\u4e00\u500b\u5b57\u4e32\u806f\u8d77\u4f86\u3002\u9019\u7a2e\u300c\u6c92\u6709\u8a18\u61b6\u300d\u7684\u81f4\u547d\u50b7\uff0c\u4fc3\u4f7f\u4e86\u80fd\u8655\u7406\u6642\u9593\u5e8f\u5217\u7684 RNN \u8a95\u751f\u3002 Recurrent NN (\u5faa\u74b0\u795e\u7d93\u7db2\u8def) \u70ba\u4e86\u8b93\u7db2\u8def\u6709\u8a18\u61b6\uff0cRNN \u5f15\u5165\u4e86\u300c\u96b1\u85cf\u72c0\u614b\uff08Hidden State, H\uff09\u300d\u4f86\u66ab\u5b58\u4e0a\u4e0b\u6587\u7684\u8a18\u61b6\u9ad4\u3002\u800c\u7db2\u8def\u5982\u4f55\u8655\u7406\u9019\u4e9b\u8a18\u61b6\uff0c\u5247\u7531\u300c\u6b0a\u91cd\u77e9\u9663\uff08W\uff09\u300d\u4f86\u6c7a\u5b9a\u3002 \u6b0a\u91cd\u77e9\u9663\u5c31\u50cf\u662f\u4e00\u500b\u300c\u8a18\u61b6\u52a0\u5de5\u516c\u5f0f\u300d\uff0c\u8ca0\u8cac\u6c7a\u5b9a\uff1a\u300c\u7576\u524d\u9032\u4f86\u7684\u5b57\uff0c\u548c\u524d\u4e00\u6b65\u7559\u4e0b\u4f86\u7684\u8a18\u61b6\uff0c\u8981\u5982\u4f55\u878d\u5408\u4e26\u50b3\u5230\u4e0b\u4e00\u6b65\u300d\u3002(e.g. \u300c\u5c0f\u660e\u51fa\u751f\u5728\u53f0\u7063\uff0c\u4ed6\u5f88\u53f0\u2026\u300d \u52a0\u5de5\u6210=&gt; \u300c\u4e00\u500b\u8ddf\u53f0\u7063\u6709\u5f37\u70c8\u9023\u7d50\u7684\u5c0f\u660e \u300d) \u4f46\u96fb\u8166\u4e0d\u77e5\u9053\u4eba\u985e\u7684\u8a9e\u8a00\u898f\u5247\uff0c\u600e\u9ebc\u77e5\u9053&quot;\u5f88\u53f0&quot;\u4ee3\u8868&quot;\u8ddf\u53f0\u7063\u6709\u5f37\u70c8\u9023\u7d50&quot; ? \u56e0\u6b64\uff0c\u5de5\u7a0b\u5e2b\u6703\u9700\u8981\u5148\u900f\u904e\u975e\u5e38\u9f90\u5927\u7684\u6578\u64da\u4f86\u8a13\u7df4\u9019\u500bRNN\uff0c\u8b93\u4ed6\u77e5\u9053: \u300c\u4eca\u5929\u5f88\u71b1\uff0c\u7b49\u4e00\u4e0b\u8981\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u300d\u9019\u53e5\u8a71\u4e2d\uff0c\u5929\u6c23\u5f88\u71b1\u624d\u662f\u7a7f\u77ed\u8932\u7684\u539f\u56e0\u3002 Backpropagation Through Time (BPTT) \u800c\u5de5\u7a0b\u5e2b\u5728\u8a13\u7df4RNN\u6642\uff0c\u6703\u4f7f\u7528\u4f7f\u7528\u300c\u96a8\u6642\u9593\u53cd\u5411\u50b3\u64ad\uff08BPTT\uff09\u300d\u6f14\u7b97\u6cd5\uff0c\u900f\u904e\u504f\u5fae\u5206\u8a08\u7b97\u8aa4\u5dee\uff0c\u4e26\u56de\u982d\u66f4\u65b0 W\u3002 \u6cbf\u7528\u300c\u4eca\u5929\u5f88\u71b1\uff0c\u7b49\u4e00\u4e0b\u8981\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u300d\u9019\u53e5\u8a71\u4f5c\u7bc4\u4f8b\uff0c\u4e00\u958b\u59cbRNN\u6703\u5fd9\u731c: \u56e0\u70ba\u53bb\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u3002\u63a5\u8457\u5de5\u7a0b\u5e2b\u6703\u544a\u8a34RNN:\" \/>\n\t\t<meta name=\"twitter:image\" content=\"https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/06\/cropped-cropped-\u672a\u547d\u540d\u8a2d\u8a08-4.png\" \/>\n\t\t<script type=\"application\/ld+json\" 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Chen"}},{"@type":"WebPage","@id":"https:\/\/hyc.eshachem.com\/program\/llm-agent\/ai-%ef%bc%8d-before-llm\/#webpage","url":"https:\/\/hyc.eshachem.com\/program\/llm-agent\/ai-%ef%bc%8d-before-llm\/","name":"1. \u795e\u7d93\u7db2\u8def: \u5728LLM\u4e4b\u524d - HyC Wiki","description":"\u4ee5\u4e0b\u5167\u5bb9\u662f\u6211\u6839\u64daRecurrent Neural Networks (RNNs): A gentle Introduction and Overview\u9019\u7bc7\u8ad6\u6587\u7684\u8b80\u5f8c\u91cd\u9ede\u6574\u7406 https:\/\/arxiv.org\/pdf\/1912.05911 \u5728\u4e86\u89e3Agent\u4e4b\u524d\u6211\u5011\u9700\u8981\u5148\u4f86\u4e86\u89e3\u4ec0\u9ebc\u662fLLM\uff0c\u4f46\u662f\u4e86\u89e3L L M\u662f\u4ec0\u9ebc\u4e4b\u524d\uff0c\u6211\u5011\u5fc5\u9808\u5148\u8981\u4e86\u89e3\u4ec0\u9ebc\u662f\u795e\u7d93\u7db2\u8def\uff01 *\u8a3b \u4ee5\u4e0b\u5167\u6587\u5716\u7247\u7686\u51fa\u81ea\u65bcRecurrent Neural Networks (RNNs): A gentle Introduction and Overview\u9019\u7bc7\u8ad6\u6587 Feed Forward NN (\u524d\u994b\u795e\u7d93\u7db2\u8def) \u9019\u662f\u6700\u50b3\u7d71\u7684\u795e\u7d93\u7db2\u8def\u67b6\u69cb\uff0c\u8a0a\u606f\u50cf\u55ae\u884c\u9053\u4e00\u6a23\uff0c\u53ea\u80fd\u5f9e\u8f38\u5165\u5c64\u4e00\u8def\u5411\u524d\u50b3\u905e\u5230\u8f38\u51fa\u5c64\u3002\u5b83\u64c5\u9577\u8655\u7406\u5f7c\u6b64\u7368\u7acb\u7684\u975c\u614b\u8cc7\u6599\uff08\u5982\u5206\u985e\u5716\u7247\uff09\uff0c\u4f46\u7576\u9762\u5c0d\u4eba\u985e\u7684\u300c\u8a9e\u8a00\u300d\u6642\u5c31\u78b0\u58c1\u4e86\u3002\u56e0\u70ba\u8a9e\u8a00\u662f\u5177\u6709\u524d\u5f8c\u6587\u95dc\u806f\u7684\u300c\u5e8f\u5217\u578b\u8cc7\u6599\u300d\uff08Sequence Data\uff09\uff0c\u800c\u524d\u994b\u795e\u7d93\u7db2\u8def\u7f3a\u4e4f\u6642\u9593\u6982\u5ff5\uff0c\u7121\u6cd5\u628a\u4e0a\u4e00\u500b\u5b57\u548c\u4e0b\u4e00\u500b\u5b57\u4e32\u806f\u8d77\u4f86\u3002\u9019\u7a2e\u300c\u6c92\u6709\u8a18\u61b6\u300d\u7684\u81f4\u547d\u50b7\uff0c\u4fc3\u4f7f\u4e86\u80fd\u8655\u7406\u6642\u9593\u5e8f\u5217\u7684 RNN \u8a95\u751f\u3002 Recurrent NN (\u5faa\u74b0\u795e\u7d93\u7db2\u8def) \u70ba\u4e86\u8b93\u7db2\u8def\u6709\u8a18\u61b6\uff0cRNN \u5f15\u5165\u4e86\u300c\u96b1\u85cf\u72c0\u614b\uff08Hidden State, H\uff09\u300d\u4f86\u66ab\u5b58\u4e0a\u4e0b\u6587\u7684\u8a18\u61b6\u9ad4\u3002\u800c\u7db2\u8def\u5982\u4f55\u8655\u7406\u9019\u4e9b\u8a18\u61b6\uff0c\u5247\u7531\u300c\u6b0a\u91cd\u77e9\u9663\uff08W\uff09\u300d\u4f86\u6c7a\u5b9a\u3002 \u6b0a\u91cd\u77e9\u9663\u5c31\u50cf\u662f\u4e00\u500b\u300c\u8a18\u61b6\u52a0\u5de5\u516c\u5f0f\u300d\uff0c\u8ca0\u8cac\u6c7a\u5b9a\uff1a\u300c\u7576\u524d\u9032\u4f86\u7684\u5b57\uff0c\u548c\u524d\u4e00\u6b65\u7559\u4e0b\u4f86\u7684\u8a18\u61b6\uff0c\u8981\u5982\u4f55\u878d\u5408\u4e26\u50b3\u5230\u4e0b\u4e00\u6b65\u300d\u3002(e.g. \u300c\u5c0f\u660e\u51fa\u751f\u5728\u53f0\u7063\uff0c\u4ed6\u5f88\u53f0\u2026\u300d \u52a0\u5de5\u6210=> \u300c\u4e00\u500b\u8ddf\u53f0\u7063\u6709\u5f37\u70c8\u9023\u7d50\u7684\u5c0f\u660e \u300d) \u4f46\u96fb\u8166\u4e0d\u77e5\u9053\u4eba\u985e\u7684\u8a9e\u8a00\u898f\u5247\uff0c\u600e\u9ebc\u77e5\u9053\"\u5f88\u53f0\"\u4ee3\u8868\"\u8ddf\u53f0\u7063\u6709\u5f37\u70c8\u9023\u7d50\" ? \u56e0\u6b64\uff0c\u5de5\u7a0b\u5e2b\u6703\u9700\u8981\u5148\u900f\u904e\u975e\u5e38\u9f90\u5927\u7684\u6578\u64da\u4f86\u8a13\u7df4\u9019\u500bRNN\uff0c\u8b93\u4ed6\u77e5\u9053: \u300c\u4eca\u5929\u5f88\u71b1\uff0c\u7b49\u4e00\u4e0b\u8981\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u300d\u9019\u53e5\u8a71\u4e2d\uff0c\u5929\u6c23\u5f88\u71b1\u624d\u662f\u7a7f\u77ed\u8932\u7684\u539f\u56e0\u3002 Backpropagation Through Time (BPTT) \u800c\u5de5\u7a0b\u5e2b\u5728\u8a13\u7df4RNN\u6642\uff0c\u6703\u4f7f\u7528\u4f7f\u7528\u300c\u96a8\u6642\u9593\u53cd\u5411\u50b3\u64ad\uff08BPTT\uff09\u300d\u6f14\u7b97\u6cd5\uff0c\u900f\u904e\u504f\u5fae\u5206\u8a08\u7b97\u8aa4\u5dee\uff0c\u4e26\u56de\u982d\u66f4\u65b0 W\u3002 \u6cbf\u7528\u300c\u4eca\u5929\u5f88\u71b1\uff0c\u7b49\u4e00\u4e0b\u8981\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u300d\u9019\u53e5\u8a71\u4f5c\u7bc4\u4f8b\uff0c\u4e00\u958b\u59cbRNN\u6703\u5fd9\u731c: \u56e0\u70ba\u53bb\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u3002\u63a5\u8457\u5de5\u7a0b\u5e2b\u6703\u544a\u8a34RNN:","inLanguage":"en-US","isPartOf":{"@id":"https:\/\/hyc.eshachem.com\/program\/#website"},"breadcrumb":{"@id":"https:\/\/hyc.eshachem.com\/program\/llm-agent\/ai-%ef%bc%8d-before-llm\/#breadcrumblist"},"datePublished":"2026-07-03T15:15:36+00:00","dateModified":"2026-07-04T02:28:10+00:00"},{"@type":"WebSite","@id":"https:\/\/hyc.eshachem.com\/program\/#website","url":"https:\/\/hyc.eshachem.com\/program\/","name":"HyC Wiki","description":"Technical articles","inLanguage":"en-US","publisher":{"@id":"https:\/\/hyc.eshachem.com\/program\/#person"}}]},"og:locale":"en_US","og:site_name":"HyC Wiki - Technical articles","og:type":"article","og:title":"1. \u795e\u7d93\u7db2\u8def: \u5728LLM\u4e4b\u524d - HyC Wiki","og:description":"\u4ee5\u4e0b\u5167\u5bb9\u662f\u6211\u6839\u64daRecurrent Neural Networks (RNNs): A gentle Introduction and Overview\u9019\u7bc7\u8ad6\u6587\u7684\u8b80\u5f8c\u91cd\u9ede\u6574\u7406 https:\/\/arxiv.org\/pdf\/1912.05911 \u5728\u4e86\u89e3Agent\u4e4b\u524d\u6211\u5011\u9700\u8981\u5148\u4f86\u4e86\u89e3\u4ec0\u9ebc\u662fLLM\uff0c\u4f46\u662f\u4e86\u89e3L L M\u662f\u4ec0\u9ebc\u4e4b\u524d\uff0c\u6211\u5011\u5fc5\u9808\u5148\u8981\u4e86\u89e3\u4ec0\u9ebc\u662f\u795e\u7d93\u7db2\u8def\uff01 *\u8a3b \u4ee5\u4e0b\u5167\u6587\u5716\u7247\u7686\u51fa\u81ea\u65bcRecurrent Neural Networks (RNNs): A gentle Introduction and Overview\u9019\u7bc7\u8ad6\u6587 Feed Forward NN (\u524d\u994b\u795e\u7d93\u7db2\u8def) \u9019\u662f\u6700\u50b3\u7d71\u7684\u795e\u7d93\u7db2\u8def\u67b6\u69cb\uff0c\u8a0a\u606f\u50cf\u55ae\u884c\u9053\u4e00\u6a23\uff0c\u53ea\u80fd\u5f9e\u8f38\u5165\u5c64\u4e00\u8def\u5411\u524d\u50b3\u905e\u5230\u8f38\u51fa\u5c64\u3002\u5b83\u64c5\u9577\u8655\u7406\u5f7c\u6b64\u7368\u7acb\u7684\u975c\u614b\u8cc7\u6599\uff08\u5982\u5206\u985e\u5716\u7247\uff09\uff0c\u4f46\u7576\u9762\u5c0d\u4eba\u985e\u7684\u300c\u8a9e\u8a00\u300d\u6642\u5c31\u78b0\u58c1\u4e86\u3002\u56e0\u70ba\u8a9e\u8a00\u662f\u5177\u6709\u524d\u5f8c\u6587\u95dc\u806f\u7684\u300c\u5e8f\u5217\u578b\u8cc7\u6599\u300d\uff08Sequence Data\uff09\uff0c\u800c\u524d\u994b\u795e\u7d93\u7db2\u8def\u7f3a\u4e4f\u6642\u9593\u6982\u5ff5\uff0c\u7121\u6cd5\u628a\u4e0a\u4e00\u500b\u5b57\u548c\u4e0b\u4e00\u500b\u5b57\u4e32\u806f\u8d77\u4f86\u3002\u9019\u7a2e\u300c\u6c92\u6709\u8a18\u61b6\u300d\u7684\u81f4\u547d\u50b7\uff0c\u4fc3\u4f7f\u4e86\u80fd\u8655\u7406\u6642\u9593\u5e8f\u5217\u7684 RNN \u8a95\u751f\u3002 Recurrent NN (\u5faa\u74b0\u795e\u7d93\u7db2\u8def) \u70ba\u4e86\u8b93\u7db2\u8def\u6709\u8a18\u61b6\uff0cRNN \u5f15\u5165\u4e86\u300c\u96b1\u85cf\u72c0\u614b\uff08Hidden State, H\uff09\u300d\u4f86\u66ab\u5b58\u4e0a\u4e0b\u6587\u7684\u8a18\u61b6\u9ad4\u3002\u800c\u7db2\u8def\u5982\u4f55\u8655\u7406\u9019\u4e9b\u8a18\u61b6\uff0c\u5247\u7531\u300c\u6b0a\u91cd\u77e9\u9663\uff08W\uff09\u300d\u4f86\u6c7a\u5b9a\u3002 \u6b0a\u91cd\u77e9\u9663\u5c31\u50cf\u662f\u4e00\u500b\u300c\u8a18\u61b6\u52a0\u5de5\u516c\u5f0f\u300d\uff0c\u8ca0\u8cac\u6c7a\u5b9a\uff1a\u300c\u7576\u524d\u9032\u4f86\u7684\u5b57\uff0c\u548c\u524d\u4e00\u6b65\u7559\u4e0b\u4f86\u7684\u8a18\u61b6\uff0c\u8981\u5982\u4f55\u878d\u5408\u4e26\u50b3\u5230\u4e0b\u4e00\u6b65\u300d\u3002(e.g. \u300c\u5c0f\u660e\u51fa\u751f\u5728\u53f0\u7063\uff0c\u4ed6\u5f88\u53f0\u2026\u300d \u52a0\u5de5\u6210=&gt; \u300c\u4e00\u500b\u8ddf\u53f0\u7063\u6709\u5f37\u70c8\u9023\u7d50\u7684\u5c0f\u660e \u300d) \u4f46\u96fb\u8166\u4e0d\u77e5\u9053\u4eba\u985e\u7684\u8a9e\u8a00\u898f\u5247\uff0c\u600e\u9ebc\u77e5\u9053&quot;\u5f88\u53f0&quot;\u4ee3\u8868&quot;\u8ddf\u53f0\u7063\u6709\u5f37\u70c8\u9023\u7d50&quot; ? \u56e0\u6b64\uff0c\u5de5\u7a0b\u5e2b\u6703\u9700\u8981\u5148\u900f\u904e\u975e\u5e38\u9f90\u5927\u7684\u6578\u64da\u4f86\u8a13\u7df4\u9019\u500bRNN\uff0c\u8b93\u4ed6\u77e5\u9053: \u300c\u4eca\u5929\u5f88\u71b1\uff0c\u7b49\u4e00\u4e0b\u8981\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u300d\u9019\u53e5\u8a71\u4e2d\uff0c\u5929\u6c23\u5f88\u71b1\u624d\u662f\u7a7f\u77ed\u8932\u7684\u539f\u56e0\u3002 Backpropagation Through Time (BPTT) \u800c\u5de5\u7a0b\u5e2b\u5728\u8a13\u7df4RNN\u6642\uff0c\u6703\u4f7f\u7528\u4f7f\u7528\u300c\u96a8\u6642\u9593\u53cd\u5411\u50b3\u64ad\uff08BPTT\uff09\u300d\u6f14\u7b97\u6cd5\uff0c\u900f\u904e\u504f\u5fae\u5206\u8a08\u7b97\u8aa4\u5dee\uff0c\u4e26\u56de\u982d\u66f4\u65b0 W\u3002 \u6cbf\u7528\u300c\u4eca\u5929\u5f88\u71b1\uff0c\u7b49\u4e00\u4e0b\u8981\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u300d\u9019\u53e5\u8a71\u4f5c\u7bc4\u4f8b\uff0c\u4e00\u958b\u59cbRNN\u6703\u5fd9\u731c: \u56e0\u70ba\u53bb\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u3002\u63a5\u8457\u5de5\u7a0b\u5e2b\u6703\u544a\u8a34RNN:","og:url":"https:\/\/hyc.eshachem.com\/program\/llm-agent\/ai-%ef%bc%8d-before-llm\/","og:image":"https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/06\/cropped-cropped-\u672a\u547d\u540d\u8a2d\u8a08-4.png","og:image:secure_url":"https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/06\/cropped-cropped-\u672a\u547d\u540d\u8a2d\u8a08-4.png","og:image:width":64,"og:image:height":64,"article:published_time":"2026-07-03T15:15:36+00:00","article:modified_time":"2026-07-04T02:28:10+00:00","twitter:card":"summary_large_image","twitter:title":"1. \u795e\u7d93\u7db2\u8def: \u5728LLM\u4e4b\u524d - HyC Wiki","twitter:description":"\u4ee5\u4e0b\u5167\u5bb9\u662f\u6211\u6839\u64daRecurrent Neural Networks (RNNs): A gentle Introduction and Overview\u9019\u7bc7\u8ad6\u6587\u7684\u8b80\u5f8c\u91cd\u9ede\u6574\u7406 https:\/\/arxiv.org\/pdf\/1912.05911 \u5728\u4e86\u89e3Agent\u4e4b\u524d\u6211\u5011\u9700\u8981\u5148\u4f86\u4e86\u89e3\u4ec0\u9ebc\u662fLLM\uff0c\u4f46\u662f\u4e86\u89e3L L M\u662f\u4ec0\u9ebc\u4e4b\u524d\uff0c\u6211\u5011\u5fc5\u9808\u5148\u8981\u4e86\u89e3\u4ec0\u9ebc\u662f\u795e\u7d93\u7db2\u8def\uff01 *\u8a3b \u4ee5\u4e0b\u5167\u6587\u5716\u7247\u7686\u51fa\u81ea\u65bcRecurrent Neural Networks (RNNs): A gentle Introduction and Overview\u9019\u7bc7\u8ad6\u6587 Feed Forward NN (\u524d\u994b\u795e\u7d93\u7db2\u8def) \u9019\u662f\u6700\u50b3\u7d71\u7684\u795e\u7d93\u7db2\u8def\u67b6\u69cb\uff0c\u8a0a\u606f\u50cf\u55ae\u884c\u9053\u4e00\u6a23\uff0c\u53ea\u80fd\u5f9e\u8f38\u5165\u5c64\u4e00\u8def\u5411\u524d\u50b3\u905e\u5230\u8f38\u51fa\u5c64\u3002\u5b83\u64c5\u9577\u8655\u7406\u5f7c\u6b64\u7368\u7acb\u7684\u975c\u614b\u8cc7\u6599\uff08\u5982\u5206\u985e\u5716\u7247\uff09\uff0c\u4f46\u7576\u9762\u5c0d\u4eba\u985e\u7684\u300c\u8a9e\u8a00\u300d\u6642\u5c31\u78b0\u58c1\u4e86\u3002\u56e0\u70ba\u8a9e\u8a00\u662f\u5177\u6709\u524d\u5f8c\u6587\u95dc\u806f\u7684\u300c\u5e8f\u5217\u578b\u8cc7\u6599\u300d\uff08Sequence Data\uff09\uff0c\u800c\u524d\u994b\u795e\u7d93\u7db2\u8def\u7f3a\u4e4f\u6642\u9593\u6982\u5ff5\uff0c\u7121\u6cd5\u628a\u4e0a\u4e00\u500b\u5b57\u548c\u4e0b\u4e00\u500b\u5b57\u4e32\u806f\u8d77\u4f86\u3002\u9019\u7a2e\u300c\u6c92\u6709\u8a18\u61b6\u300d\u7684\u81f4\u547d\u50b7\uff0c\u4fc3\u4f7f\u4e86\u80fd\u8655\u7406\u6642\u9593\u5e8f\u5217\u7684 RNN \u8a95\u751f\u3002 Recurrent NN (\u5faa\u74b0\u795e\u7d93\u7db2\u8def) \u70ba\u4e86\u8b93\u7db2\u8def\u6709\u8a18\u61b6\uff0cRNN \u5f15\u5165\u4e86\u300c\u96b1\u85cf\u72c0\u614b\uff08Hidden State, H\uff09\u300d\u4f86\u66ab\u5b58\u4e0a\u4e0b\u6587\u7684\u8a18\u61b6\u9ad4\u3002\u800c\u7db2\u8def\u5982\u4f55\u8655\u7406\u9019\u4e9b\u8a18\u61b6\uff0c\u5247\u7531\u300c\u6b0a\u91cd\u77e9\u9663\uff08W\uff09\u300d\u4f86\u6c7a\u5b9a\u3002 \u6b0a\u91cd\u77e9\u9663\u5c31\u50cf\u662f\u4e00\u500b\u300c\u8a18\u61b6\u52a0\u5de5\u516c\u5f0f\u300d\uff0c\u8ca0\u8cac\u6c7a\u5b9a\uff1a\u300c\u7576\u524d\u9032\u4f86\u7684\u5b57\uff0c\u548c\u524d\u4e00\u6b65\u7559\u4e0b\u4f86\u7684\u8a18\u61b6\uff0c\u8981\u5982\u4f55\u878d\u5408\u4e26\u50b3\u5230\u4e0b\u4e00\u6b65\u300d\u3002(e.g. \u300c\u5c0f\u660e\u51fa\u751f\u5728\u53f0\u7063\uff0c\u4ed6\u5f88\u53f0\u2026\u300d \u52a0\u5de5\u6210=&gt; \u300c\u4e00\u500b\u8ddf\u53f0\u7063\u6709\u5f37\u70c8\u9023\u7d50\u7684\u5c0f\u660e \u300d) \u4f46\u96fb\u8166\u4e0d\u77e5\u9053\u4eba\u985e\u7684\u8a9e\u8a00\u898f\u5247\uff0c\u600e\u9ebc\u77e5\u9053&quot;\u5f88\u53f0&quot;\u4ee3\u8868&quot;\u8ddf\u53f0\u7063\u6709\u5f37\u70c8\u9023\u7d50&quot; ? \u56e0\u6b64\uff0c\u5de5\u7a0b\u5e2b\u6703\u9700\u8981\u5148\u900f\u904e\u975e\u5e38\u9f90\u5927\u7684\u6578\u64da\u4f86\u8a13\u7df4\u9019\u500bRNN\uff0c\u8b93\u4ed6\u77e5\u9053: \u300c\u4eca\u5929\u5f88\u71b1\uff0c\u7b49\u4e00\u4e0b\u8981\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u300d\u9019\u53e5\u8a71\u4e2d\uff0c\u5929\u6c23\u5f88\u71b1\u624d\u662f\u7a7f\u77ed\u8932\u7684\u539f\u56e0\u3002 Backpropagation Through Time (BPTT) \u800c\u5de5\u7a0b\u5e2b\u5728\u8a13\u7df4RNN\u6642\uff0c\u6703\u4f7f\u7528\u4f7f\u7528\u300c\u96a8\u6642\u9593\u53cd\u5411\u50b3\u64ad\uff08BPTT\uff09\u300d\u6f14\u7b97\u6cd5\uff0c\u900f\u904e\u504f\u5fae\u5206\u8a08\u7b97\u8aa4\u5dee\uff0c\u4e26\u56de\u982d\u66f4\u65b0 W\u3002 \u6cbf\u7528\u300c\u4eca\u5929\u5f88\u71b1\uff0c\u7b49\u4e00\u4e0b\u8981\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u300d\u9019\u53e5\u8a71\u4f5c\u7bc4\u4f8b\uff0c\u4e00\u958b\u59cbRNN\u6703\u5fd9\u731c: \u56e0\u70ba\u53bb\u4e0a\u5b78\uff0c\u6240\u4ee5\u6211\u7a7f\u77ed\u8932\u3002\u63a5\u8457\u5de5\u7a0b\u5e2b\u6703\u544a\u8a34RNN:","twitter:image":"https:\/\/hyc.eshachem.com\/program\/wp-content\/uploads\/2026\/06\/cropped-cropped-\u672a\u547d\u540d\u8a2d\u8a08-4.png"},"aioseo_meta_data":{"post_id":"883","title":null,"description":null,"keywords":null,"keyphrases":null,"primary_term":null,"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_custom_url":null,"og_image_custom_fields":null,"og_image_url":null,"og_image_width":null,"og_image_height":null,"og_video":null,"og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_image_url":null,"twitter_title":null,"twitter_description":null,"schema_type":"default","schema_type_options":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"","isEnabled":true},"graphs":[]},"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":null,"robots_max_videopreview":null,"robots_max_imagepreview":"large","priority":null,"frequency":null,"local_seo":null,"limit_modified_date":false,"ai":null,"breadcrumb_settings":null,"seo_analyzer_scan_date":null,"created":"2026-07-28 14:29:00","updated":"2026-07-28 14:29:00"},"aioseo_breadcrumb":"<div class=\"aioseo-breadcrumbs\"><span class=\"aioseo-breadcrumb\">\n\t\t\t<a href=\"https:\/\/hyc.eshachem.com\/program\" title=\"Home\">Home<\/a>\n\t\t<\/span><span class=\"aioseo-breadcrumb-separator\">&raquo;<\/span><span class=\"aioseo-breadcrumb\">\n\t\t\t<a href=\"https:\/\/hyc.eshachem.com\/program\/llm-agent\/\" title=\"\u3010RNN\u5230Agent\u3011\">\u3010RNN\u5230Agent\u3011<\/a>\n\t\t<\/span><span class=\"aioseo-breadcrumb-separator\">&raquo;<\/span><span class=\"aioseo-breadcrumb\">\n\t\t\t1. \u795e\u7d93\u7db2\u8def: \u5728LLM\u4e4b\u524d\n\t\t<\/span><\/div>","aioseo_breadcrumb_json":[{"label":"Home","link":"https:\/\/hyc.eshachem.com\/program"},{"label":"\u3010RNN\u5230Agent\u3011","link":"https:\/\/hyc.eshachem.com\/program\/llm-agent\/"},{"label":"1. \u795e\u7d93\u7db2\u8def: \u5728LLM\u4e4b\u524d","link":"https:\/\/hyc.eshachem.com\/program\/llm-agent\/ai-%ef%bc%8d-before-llm\/"}],"_links":{"self":[{"href":"https:\/\/hyc.eshachem.com\/program\/wp-json\/wp\/v2\/pages\/883","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hyc.eshachem.com\/program\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/hyc.eshachem.com\/program\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/hyc.eshachem.com\/program\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/hyc.eshachem.com\/program\/wp-json\/wp\/v2\/comments?post=883"}],"version-history":[{"count":10,"href":"https:\/\/hyc.eshachem.com\/program\/wp-json\/wp\/v2\/pages\/883\/revisions"}],"predecessor-version":[{"id":929,"href":"https:\/\/hyc.eshachem.com\/program\/wp-json\/wp\/v2\/pages\/883\/revisions\/929"}],"up":[{"embeddable":true,"href":"https:\/\/hyc.eshachem.com\/program\/wp-json\/wp\/v2\/pages\/520"}],"wp:attachment":[{"href":"https:\/\/hyc.eshachem.com\/program\/wp-json\/wp\/v2\/media?parent=883"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}