{"id":421,"date":"2023-08-29T11:32:09","date_gmt":"2023-08-29T03:32:09","guid":{"rendered":"http:\/\/blog.cyasylum.top\/?p=421"},"modified":"2023-08-29T12:41:21","modified_gmt":"2023-08-29T04:41:21","slug":"move-from-ai-to-animation-generation-z1eb2ve","status":"publish","type":"post","link":"http:\/\/blog.cyasylum.top\/index.php\/2023\/08\/29\/move-from-ai-to-animation-generation-z1eb2ve\/","title":{"rendered":"\u4ece AI \u52a8\u6355 \u5230 \u52a8\u753b\u751f\u6210"},"content":{"rendered":"<h1>\u4ece AI \u52a8\u6355 \u5230 \u52a8\u753b\u751f\u6210<\/h1>\n<p>\u200d<\/p>\n<p>\u673a\u7f18\u5de7\u5408\uff0c\u60f3\u5199\u4e00\u7bc7\u5206\u4eab\u6587\u7ae0\uff0c\u8ba8\u8bba\u4e00\u4e0b\u81ea\u5df1\u8fd1\u671f\u505a\u8fc7\u7684\u4e00\u7cfb\u5217 AI \u52a8\u753b\u76f8\u5173\u7684\u5de5\u4f5c\u3002<\/p>\n<p>\u4e00\u65b9\u9762\u662f\u4e4b\u524d\u542c\u4e2d\u53f0\u90ed\u5e06\u8001\u5e08\u300aAIGC \u52a0\u901f\u6e38\u620f\u5f00\u53d1\u6848\u4f8b\u5206\u4eab\u300b\u4e00\u8282\u7684\u5206\u4eab\u5728\u7ed3\u5c3e\u63d0\u5230\u4e86\u6709\u8da3\u7684\u8bfe\u9898\uff0c\u8ba9\u6211\u4e5f\u60f3\u6765\u629b\u7816\u5f15\u7389\u4e00\u4e0b\u3002\u53e6\u4e00\u65b9\u9762\u5219\u662f\uff0c\u524d\u4e24\u5929\u6295\u9012\u7684 \u300a\u5f53\u6211\u4eec\u8c08\u8bba\u4efb\u52a1\u65f6\uff0c\u6211\u4eec\u5728\u8c08\u8bba\u4ec0\u4e48\u300b\u56e0\u4e3a\u8bdd\u9898\u8fc7\u4e8e\u5c0f\u4f17\u548c\u884c\u6587\u8fc7\u4e8e\u62bd\u8c61\u4e14\u6beb\u65e0\u5e72\u8d27\uff0c\u5df2\u7ecf\u6ca6\u4e3a\u4e86\u6e7f\u5783\u573e\u3002\u6211\u8feb\u5207\u5730\u60f3\u8981\u505a\u70b9\u4ec0\u4e48\u8fdb\u4e00\u6b65\u4e89\u53d6\u4e00\u4e0b\u4f0d\u62fe\u5186\u4eac\u4e1c\u5361\uff08\u4e50<\/p>\n<p>\u518d\u6709\u8005\uff0c\u524d\u4e24\u5929\u6b7b\u76ae\u8d56\u8138\u52fe\u642d\u4e0a\u4e86 MotionGPT \u7684\u4f5c\u8005\uff0c\u540c\u4ed6\u8ba8\u8bba\u4e86\u51e0\u9879\u6709\u8da3\u800c\u6df1\u5ea6\u5207\u5408\u5de5\u4e1a\u5316\u8d8b\u52bf\u7684\u51e0\u4e2a\u70b9\uff0c\u8feb\u4e0d\u53ca\u5f85\u5730\u60f3\u4e0e\u66f4\u591a\u4eba\u5206\u4eab\uff08\u4f46\u81f3\u4eca\u4e3a\u6b62\uff0c\u76f4\u63a5\u5c06\u5185\u5bb9\u5206\u4eab\u7ed9\u6c34\u53cb\u770b\u6ca1\u6709\u4e00\u4e2a\u4eba\u63a5\u5f97\u4e0a\uff0c\u5927\u6982\u8bf4\u660e\u6211\u8be5\u5199\u4e00\u7bc7\u6587\u7ae0\u6765\u5c1d\u8bd5\u6253\u5e73\u4fe1\u606f\u5dee<\/p>\n<hr \/>\n<p>\u9996\u5148\uff0c\u6211\u4eec\u5f97\u610f\u8bc6\u5230\u4e00\u70b9\uff0c\u5c06\u5728\u672c\u6587\u4e2d\u8ba8\u8bba\u7684\u52a8\u753b\u5462\uff0c\u5b83\u662f\u8fd9\u4e2a\uff08\u60b2<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291222902.png\" alt=\"image\" \/>\u200b<\/p>\n<p>\u6362\u53e5\u8bdd\u8bf4\uff0c\u8fd9\u4e2a\u52a8\u753b\u88ab\u53eb\u505a Motion\uff0c\u53c8\u53eb\u505a\u52a8\u4f5c\uff0c\u8ba8\u8bba\u7684\u662f\u4eba\u7684\u8fd0\u52a8\u3002<\/p>\n<p>\u5b83\u4e0d\u662f\u6211\u4eec\u6700\u7231\u7684 Anime(\u52a8\u753b\u7247\/\u6216\u8005 SD \u751f\u6210\u7684\u52a8\u753b)\uff0c\u4f46\u5b83\u4e5f\u53ef\u4ee5\u662f Animation\uff0c\u5373\u90a3\u4e9b\u9a71\u52a8\u7740\u6211\u4eec\u6240\u521b\u4f5c\u6e38\u620f\u4e2d\u8bf8\u8981\u7d20\u8fd0\u52a8\u7684\u52a8\u753b\uff08\u6652\u4e00\u4e0b\u6211\u7684\u770b\u677f\u5a18 416\uff0cbtw \u4f60\u4eec\u770b\u4e0d\u5230\u52a8\u753b\uff09\u3002<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291222905.png\" alt=\"image\" \/>\u200b<\/p>\n<p>\u90a3\u4e48\uff0c\u4e5f\u8bb8\u50cf\u4e00\u7bc7\u8bba\u6587\uff08\u56e0\u4e3a\u61d2\u5f97\u5199\u7684\u65f6\u5019\u53ef\u80fd\u4f1a\u4ece\u6211\u7684\u6bd5\u4e1a\u8bba\u6587\u91cc\u7f1d\u4e00\u70b9\uff09\uff0c\u4e5f\u8bb8\u662f\u4e00\u7bc7\u79d1\u666e\u6587\uff0c\u5148\u8ba9\u6211\u5f00\u59cb\u4e3a\u656c\u3002<\/p>\n<h1>\u7f18\u8d77 \u2014\u2014 \u65e9\u671f\u7684\u52a8\u4f5c\u8868\u793a\u53ca\u5176\u80cc\u666f<\/h1>\n<h2>1980s \u2014\u2014 \u4f20\u7edf\u6a21\u5f0f\u8bc6\u522b<\/h2>\n<p>AI \u4e0e \u52a8\u4f5c \u7684\u4ea4\u70b9\uff0c\u5176\u51fa\u73b0\u5176\u5b9e\u4e0d\u80fd\u7b97\u592a\u665a\u3002\u65e9\u5728\u56db\u5341\u5e74\u524d\uff0c\u4eba\u4eec\u5bf9\u8fd9\u4e2a\u8bdd\u9898\u7684\u5174\u8da3\u5c31\u5c55\u9732\u4e86\u82d7\u5934\u3002\u867d\u8bf4\u90a3\u4e2a\u5e74\u4ee3\u5373\u6ca1\u6709\u73b0\u4ee3\u610f\u4e49\u4e0a\u7684\u201cAI\u201d\uff0c\u53c8\u6ca1\u6709\u73b0\u4ee3\u610f\u4e49\u4e0a\u7684\u201c\u52a8\u4f5c\u201d\u5c31\u662f\u4e86\u3002<\/p>\n<p>\u5728\u90a3\u4e2a\u5e74\u4ee3\uff0c\u6574\u4e2a\u8bfe\u9898\u88ab\u5f52\u4e8e\u201c\u6a21\u5f0f\u8bc6\u522b\u201d\u8fd9\u4e2a\u5927\u7c7b\u4e0b\u3002\u5982\u56fe\u6240\u793a\uff0c\u8fd9\u662f 1983 \u5e74\u76f8\u5173\u9886\u57df\u53d1\u5e03\u7684\u7b2c\u4e00\u7bc7\u6587\u7ae0\u3002\u4f5c\u8005\u901a\u8fc7\u624b\u5de5\u7684\u65b9\u5f0f\u63d0\u53d6\u4e86\u753b\u9762\u4e2d\u884c\u8d70\u7684\u4eba\u53ef\u80fd\u5177\u6709\u7684\u6a21\u5f0f\u5316\u7279\u5f81\uff0c\u5e76\u4ee5\u6b64\u4e3a\u6a21\u677f\uff0c\u5b9e\u73b0\u4e86\u5bf9\u753b\u9762\u4e2d\u4eba\u7c7b\u52a8\u4f5c\u7684\u201c\u6a21\u5f0f\u8bc6\u522b\u201d\u3002\u4ece\u73b0\u5728\u7684\u89c6\u89d2\u6765\u770b\uff0c\u8fd9\u96be\u514d\u662f\u4e9b\u8bb8\u5e7c\u7a1a\u7684\u5de5\u4f5c\uff0c\u4f46\u5728\u90a3\u65f6\u4e5f\u7b97\u9887\u5177\u542f\u53d1\u4ef7\u503c\u4e86\u3002<\/p>\n<p><img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291222162.png\" alt=\"image\" title=\"Model-based\" \/><\/p>\n<p>\u8fd9\u6837\u7b80\u5355\u7684\u6a21\u5f0f\u8bc6\u522b\u5de5\u4f5c\u663e\u7136\u4e0e\u6211\u4eec\u5982\u4eca\u8ba4\u8bc6\u5230\u7684\u52a8\u4f5c\u5de5\u4f5c\u5927\u76f8\u5f84\u5ead\uff0c\u4f46\u96be\u4ee5\u5426\u8ba4\u7684\u662f\uff0c\u540e\u7eed\u65e0\u6570\u7684\u5de5\u4f5c\u90fd\u662f\u4ece\u201c\u6a21\u5f0f\u201d\u8fd9\u4e00\u89c2\u5ff5\u4e4b\u4e0a\u55b7\u6d8c\u800c\u51fa\u3002\u800c\u57fa\u4e8e\u6b64\uff0c\u4eba\u4f53\u59ff\u52bf\u4f30\u8ba1 (Human Pose Estimation) \u8fd9\u4e00\u90bb\u57df\u4e5f\u9010\u6e10\u5f00\u59cb\u53d1\u5c55\u3002<\/p>\n<h2>Tips \u2014\u2014 \u6a21\u5f0f\u8bc6\u522b\u4e2d\u7684\u201c\u6a21\u5f0f\u201d<\/h2>\n<h3>\u8ba1\u7b97\u673a\u53ca\u8ba4\u77e5\u5fc3\u7406\u5b66\u4e2d\u7684\u201c\u6a21\u5f0f\u8bc6\u522b\u201d<\/h3>\n<p>\u5728\u8fdb\u4e00\u6b65\u5ef6\u7533\u4e4b\u524d\uff0c\u6211\u4eec\u53ef\u4ee5\u5c1d\u8bd5\u5b9a\u4e49\u4e00\u4e0b\u6a21\u5f0f\u8bc6\u522b\u4e2d\u7684\u201c\u6a21\u5f0f\u201d\u4e00\u8bcd\uff0c\u7a76\u7adf\u4f5c\u4f55\u6982\u5ff5\u3002<\/p>\n<p>\u6a21\u5f0f\u8bc6\u522b (Pattern Recognition) \uff0c\u6709\u5176\u76f8\u5bf9\u4e13\u4e1a\u7684\u89e3\u91ca\uff08\u6458\u81ea\u7ef4\u57fa\u767e\u79d1\uff09\uff1a<\/p>\n<blockquote>\n<p><strong>\u6a21\u5f0f\u8bc6\u522b<\/strong>\uff0c\u5c31\u662f\u901a\u8fc7<a href=\"https:\/\/zh.wikipedia.org\/wiki\/%E7%94%B5%E5%AD%90%E8%AE%A1%E7%AE%97%E6%9C%BA\" title=\"\u7535\u5b50\u8ba1\u7b97\u673a\" target=\"_blank\"  rel=\"nofollow\" >\u8ba1\u7b97\u673a<\/a>\u7528<a href=\"https:\/\/zh.wikipedia.org\/wiki\/%E6%95%B0%E5%AD%A6\" title=\"\u6570\u5b66\" target=\"_blank\"  rel=\"nofollow\" >\u6570\u5b66<\/a>\u6280\u672f\u65b9\u6cd5\u6765\u7814\u7a76\u6a21\u5f0f\u7684\u81ea\u52a8\u5904\u7406\u548c\u5224\u8bfb\u3002\u6211\u4eec\u628a<a href=\"https:\/\/zh.wikipedia.org\/wiki\/%E8%BF%90%E8%A1%8C%E7%8E%AF%E5%A2%83\" title=\"\u8fd0\u884c\u73af\u5883\" target=\"_blank\"  rel=\"nofollow\" >\u73af\u5883<\/a>\u4e0e<a href=\"https:\/\/zh.wikipedia.org\/wiki\/%E5%AE%A2%E4%BD%93\" title=\"\u5ba2\u4f53\" target=\"_blank\"  rel=\"nofollow\" >\u5ba2\u4f53<\/a>\u7edf\u79f0\u4e3a\u201c\u6a21\u5f0f\u201d\u3002<\/p>\n<\/blockquote>\n<p>\u4f46\u8fd9\u5e76\u975e\u662f\u4e00\u4e2a\u8db3\u591f\u539f\u5b50\u5316\uff0c\u6216\u8005\u6613\u8bfb\u7684\u5b9a\u4e49\u3002\u56e0\u800c\u57fa\u4e8e\u6b64\uff0c\u6211\u4f1a\u5e0c\u671b\u8fdb\u884c\u4e00\u5b9a\u7684\u5ef6\u62d3\u3002\u8fdb\u4e00\u6b65\u501f\u7528\u5fc3\u7406\u5b66\u60c5\u666f\u4e2d\u6613\u88ab\u6df7\u6dc6\u7684\u6a21\u5f0f\u8bc6\u522b\u5b9a\u4e49\u3002<\/p>\n<blockquote>\n<p><del>\u5728<\/del>\u200b<a href=\"https:\/\/zh.wikipedia.org\/wiki\/%E5%BF%83%E7%90%86%E5%AD%A6\" title=\"\u5fc3\u7406\u5b66\" target=\"_blank\"  rel=\"nofollow\" ><del>\u5fc3\u7406\u5b66<\/del><\/a>\u200b<del>\u548c<\/del>\u200b<a href=\"https:\/\/zh.wikipedia.org\/wiki\/%E8%AE%A4%E7%9F%A5%E7%A5%9E%E7%BB%8F%E7%A7%91%E5%AD%A6\" title=\"\u8ba4\u77e5\u795e\u7ecf\u79d1\u5b66\" target=\"_blank\"  rel=\"nofollow\" ><del>\u8ba4\u77e5\u795e\u7ecf\u79d1\u5b66<\/del><\/a>\u200b<del>\u4e2d\uff0c<del>\u200b**<\/del>\u6a21\u5f0f\u8bc6\u522b<\/del>**\u200b<del>\u63cf\u8ff0\u4e86\u4e00\u4e2a<\/del>\u200b<a href=\"https:\/\/zh.wikipedia.org\/wiki\/%E8%AE%A4%E7%9F%A5\" title=\"\u8ba4\u77e5\" target=\"_blank\"  rel=\"nofollow\" ><del>\u8ba4\u77e5<\/del><\/a>\u200b<del>\u8fc7\u7a0b\uff0c\u8be5\u8fc7\u7a0b\u5c06\u6765\u81ea<\/del>\u200b<a href=\"https:\/\/zh.wikipedia.org\/w\/index.php?title=%E5%88%BA%E6%BF%80%EF%BC%88%E5%BF%83%E7%90%86%E5%AD%A6%EF%BC%89&amp;action=edit&amp;redlink=1\" title=\"\u523a\u6fc0\uff08\u5fc3\u7406\u5b66\uff09\uff08\u9875\u9762\u4e0d\u5b58\u5728\uff09\" target=\"_blank\"  rel=\"nofollow\" ><del>\u523a\u6fc0<\/del><\/a>\u200b<del>\u7684\u4fe1\u606f\u4e0e\u4fe1\u606f<\/del>\u200b<a href=\"https:\/\/zh.wikipedia.org\/wiki\/%E5%8F%AC%E5%9B%9E\" title=\"\u53ec\u56de\" target=\"_blank\"  rel=\"nofollow\" ><del>\u53ec\u56de<\/del><\/a>\u200b<del>\u76f8\u5339\u914d\u6765\u81ea<\/del>\u200b<a href=\"https:\/\/zh.wikipedia.org\/wiki\/%E8%AE%B0%E5%BF%86\" title=\"\u8bb0\u5fc6\" target=\"_blank\"  rel=\"nofollow\" ><del>\u8bb0\u5fc6<\/del><\/a>\u200b~~\u3002~~<\/p>\n<p><em>\u603b\u89c9\u5f97\u4e0a\u9762\u8fd9\u662f\u673a\u7ffb\uff0c\u6709\u70b9\u79bb\u8c31\uff0c\u91cd\u65b0\u7ffb\u4e00\u904d\u3002<\/em><\/p>\n<p>\u200d<\/p>\n<p>\u6a21\u5f0f\u8bc6\u522b\u63cf\u8ff0\u4e86\u5c06 <strong>\u6765\u81ea\u523a\u6fc0\u7684\u4fe1\u606f<\/strong> \u4e0e <strong>\u4ece\u8bb0\u5fc6\u4e2d\u68c0\u7d22\u7684\u4fe1\u606f<\/strong> <strong>\u76f8\u5339\u914d<\/strong>\u7684 \u8ba4\u77e5\u8fc7\u7a0b\u3002<\/p>\n<\/blockquote>\n<p>\u867d\u7136\u8ba1\u7b97\u673a\u79d1\u5b66\u548c\u5fc3\u7406\u5b66\u4e2d\u5bf9\u6a21\u5f0f\u8bc6\u522b\u7684\u7eb8\u9762\u5b9a\u4e49\u4e0d\u751a\u76f8\u540c\uff0c\u4f46\u4ed6\u4eec\u4e4b\u95f4\u7684\u5171\u6027\u4e5f\u662f\u663e\u8457\u7684\u3002\u5176\u5171\u540c\u7684\u6838\u5fc3\u5747\u662f **\u5b9a\u4e49\u8bb0\u5fc6\u7684\u50a8\u5b58\u5f62\u5f0f\uff08\u8868\u793a\uff09<strong>\u200b\u200b \u548c \u200b\u200b<\/strong>\u5b66\u4e60\u8bb0\u5fc6\u7684\u7ec4\u6210\u5185\u5bb9\uff08\u5b66\u4e60\uff09**\u200b\u3002\u800c\u533a\u522b\u5728\u4e8e\uff0c\u8ba1\u7b97\u673a\u79d1\u5b66\u5fe0\u4e8e\u901a\u8fc7\u8ba1\u7b97\u673a\u8fdb\u884c\u6a21\u62df\uff0c\u800c\u5fc3\u7406\u5b66\u5fe0\u4e8e\u7814\u7a76\u4eba\u4f53\u8fd0\u4f5c\u672c\u8eab\u7684\u673a\u7406\u3002<\/p>\n<p>\u663e\u7136\u7684\uff0c\u4e24\u4e2a\u9886\u57df\u4ece\u4e0d\u505c\u6b62\u76f8\u4e92\u5b66\u4e60\uff08\u770b\u4e86\u773c\u6211\u6700\u719f\u6089\u7684\u201c\u795e\u7ecf\u7f51\u7edc\u201d\uff09\u3002<\/p>\n<h3>\u4e00\u4e2a\u7b80\u4f8b<\/h3>\n<p>\u81ea\u7136\uff0c\u4e0a\u9762\u7684\u8bba\u8ff0\u4f9d\u65e7\u662f\u62bd\u8c61\u7684\uff0c\u4e3a\u6b64\u6211\u7ed3\u5408\u524d\u6587\u7ed9\u5230\u7684\u4f20\u7edf\u6a21\u5f0f\u8bc6\u522b\u6765\u7b80\u5355\u4e3e\u4e2a\u4f8b\u5b50\u5427\u3002<\/p>\n<p>\u5bf9\u4e8e\u4e0a\u56fe\uff0c\u6bcf\u4e2a\u5c0f\u7684\u5207\u7247\u90fd\u662f\u4e00\u4e2a\u201c\u6a21\u5f0f\u201d\uff0c\u5176\u5305\u542b\u201c\u8868\u793a\u201d\u548c\u201c\u5185\u5bb9\u201d\u4e24\u4e2a\u90e8\u5206\uff1a<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291222330.png\" alt=\"image\" \/>\u200b<\/p>\n<ul>\n<li>\u8868\u793a\uff1a\u4e00\u4e2a\u6a21\u5f0f\u7684\u201c\u8868\u793a\u201d\u5b9e\u9645\u4e0a\u5c31\u662f\u662f\u4e00\u5f20\u4e8c\u8fdb\u5236\u56fe\uff0c\u901a\u8fc7\u9ed1\u8272\u8868\u793a\u4eba\uff0c\u901a\u8fc7\u767d\u8272\u8868\u793a\u80cc\u666f\u3002\u5bf9\u4e8e\u4efb\u4f55\u4e00\u5f20\u8be5\u8868\u793a\u4e0b\u7684\u201c\u6a21\u5f0f\u201d\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u5176\u7406\u89e3\u4e3a\u4e00\u4e2a\u6b63\u5728\u8fd0\u52a8\u7684\u4eba\u3002\uff08\u6bcf\u4e2a\u5207\u7247\u90fd\u6240\u5c5e\u76f8\u540c\u7684\u8868\u793a\uff09<\/li>\n<li>\u5185\u5bb9\uff1a\u4e00\u4e2a\u6a21\u5f0f\u7684\u201c\u5185\u5bb9\u201d\u5373\u662f\u8868\u793a\u4e4b\u4e0a\uff0c\u771f\u5b9e\u4e3a\u6211\u4eec\u6240\u89c1\u7684\u4e1c\u897f\u3002\u5982\u4e0a\u56fe\u6240\u793a\uff0c\u5bf9\u4e8e\u8fd9\u6837\u4e00\u4e2a\u5207\u7247\uff0c\u6211\u4eec\u80fd\u5c06\u5176\u7406\u89e3\u4e3a\u4e00\u4e2a\u53cc\u817f\u5f2f\u66f2\u8df3\u8d77\u7684\u4eba\uff08\uff1f\u603b\u89c9\u5f97\u6709\u70b9\u602a\uff09\uff0c\u800c\u8fd9\u6b63\u662f\u4eba\u6b63\u5728\u8fd0\u52a8\u7684\u4e00\u79cd\u72b6\u6001\u3002<\/li>\n<\/ul>\n<p>\uff08\u6216\u8005\u8bf4\uff0c\u5bf9\u4e8e\u4e00\u5f20\u5e38\u89c1\u7684\u6570\u7801\u7167\u7247 or \u8868\u60c5\u5305\uff0c\u5176\u201c\u8868\u793a\u201d\u4e3a\u4e00\u4e2a[\u957f*\u5bbd*RGB]\u7684\u8272\u5f69\u5143\u7d20\u77e9\u9635\uff0c\u5185\u5bb9\u4e3a\u6211\u4eec\u6240\u89c1\u5230\u7684\u4e1c\u897f\uff0c\u518d\u8ba9\u6211\u8fdb\u4e00\u6b65\u89e3\u91ca\u6211\u771f\u8981\u6b47\u903c\u4e86\uff09<\/p>\n<p>\u901a\u8fc7\u8868\u793a\u548c\u5185\u5bb9\u7684\u7ec4\u5408\uff0c\u6211\u4eec\u4e43\u81f3\u8ba1\u7b97\u673a\u65b9\u80fd\u7406\u89e3\u4e00\u4e2a\u6a21\u5f0f\uff08\u5f53\u7136\u8fd9\u4e2a\u6a21\u578b\u8fd8\u662f\u88ab\u7b80\u5316\u4e86\uff09\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u56de\u5230\u539f\u9898\uff0c\u5bf9\u4e8e\u4e00\u5f20\u9ed1\u767d\u7167\u7247\uff0c\u8ba1\u7b97\u673a\u80fd\u901a\u8fc7\u8fd0\u7b97\u62bd\u53d6\u5176\u4e2d\u62bd\u8c61\u7684\u4eba\u7269\u7279\u5f81\uff0c\u5e76\u5c06\u5176\u4e0e\u201c\u957f\u671f\u8bb0\u5fc6\u201d\u4e2d\u7684\u6a21\u5f0f\u8fdb\u884c\u6bd4\u5bf9\uff0c\u4ece\u800c\u5b9e\u73b0\u6240\u8c13\u201c\u6a21\u5f0f\u8bc6\u522b\u201d\u7684\u5de5\u4f5c\u3002<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291237071.png\" alt=\"image\" title=\"\u73b0\u5b9e\u523a\u6fc0\" \/>\u200b<\/p>\n<h2>1990s \u2014\u2014 \u201c\u8868\u793a\u201d\u7684\u84ec\u52c3\u53d1\u5c55<\/h2>\n<p>\u5728\u8ba8\u8bba\u201c\u5b66\u4e60\u201d\u8fd9\u4e00\u6a21\u5757\u4e4b\u524d\uff0c\u6211\u4eec\u4f1a\u503e\u5411\u4e8e\u5148\u6765\u804a\u804a\u76f8\u5173\u9886\u57df\u4e2d\u201c\u8868\u793a\u201d\u7684\u53d1\u5c55\u3002\u5f53\u7136\uff0c\u8fd9\u5e76\u975e\u8bf4\u660e\u5728\u8fd9\u4e2a\u5e74\u4ee3\u201c\u5b66\u4e60\u201d\u7684\u53d1\u5c55\u6216\u91cd\u8981\u6027\u4e0d\u53ca\u201c\u8868\u793a\u201d\uff0c\u5012\u4e0d\u5982\u8bf4\uff0c\u6b63\u662f\u90a3\u4e9b\u5e74\u7684\u79ef\u7d2f\u624d\u94fa\u57ab\u4e86 AI \u90bb\u57df\u5982\u4eca\u7684\u7e41\u534e\u3002<\/p>\n<p>\u4f46\u4e3a\u4e86\u884c\u6587\u548c\u601d\u8def\u7684\u6574\u4f53\u8fde\u8d2f\uff0c\u6211\u4f9d\u65e7\u4f1a\u5148\u884c\u4ecb\u7ecd\u52a8\u753b\u7684\u8868\u793a\u8fd9\u4e00\u8303\u7574\u3002<\/p>\n<p>\u200d<\/p>\n<h3>\u4e0e\u56fe\u5f62\u5b66\u5171\u540c\u53d1\u5c55\u7684\u52a8\u753b\u8868\u793a<\/h3>\n<p>\u201c\u8868\u793a\u201d\u7684\u8fdb\u5316\u65e0\u7591\u4f9d\u8d56\u4e8e\u56fe\u5f62\u5b66\u7684\u53d1\u5c55\u3002<\/p>\n<p>\u4e3e\u4e00\u4e2a\u6700\u7b80\u5355\u7684\u4f8b\u5b50\uff0c\u5728\u4e09\u7ef4\u52a8\u753b\u5f15\u64ce\u51fa\u73b0\u4e4b\u524d\uff0c\u52a8\u753b\u7684\u8868\u793a\u4ec5\u4ec5\u5c40\u9650\u4e8e\u4e24\u4e2a\u7ef4\u5ea6\uff1b\u5728\u56fe\u5f62\u5316\u754c\u9762\u51fa\u73b0\u4e4b\u524d\uff0c\u666e\u904d\u610f\u4e49\u4e0a\u7684\u8ba1\u7b97\u673a\u52a8\u753b\u5c1a\u4e14\u4e0d\u5b58\u5728\u3002<\/p>\n<p><img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291222753.png\" alt=\"image\" title=\"Ed\" \/><\/p>\n<p>\u4e5f\u6b63\u662f 1990s \u540e\uff0c\u56fe\u5f62\u6280\u672f\u7684\u6781\u5927\u53d1\u5c55\u771f\u6b63\u5c06 3D \u5236\u4f5c\u6280\u672f\u548c 3D \u6e38\u620f\u666e\u53ca\uff0c\u8ba1\u7b97\u673a\u89d2\u8272\u52a8\u753b\u4e5f\u9010\u6e10\u4ece Siggraph \u7b49\u524d\u6cbf\u79d1\u5b66\u4f1a\u8bae\u4e2d\u7684\u8ba8\u8bba\u6027\u5185\u5bb9\u9010\u6e10\u8d70\u5411\u843d\u5730\u3002<\/p>\n<p>\u4ece\u90a3\u65f6\u8d77\uff0c\u6108\u591a\u7684\u4eba\u5c1d\u8bd5\u901a\u8fc7\u9aa8\u9abc\u52a8\u753b\u548c\u8499\u76ae\u8fd9\u4e00\u6807\u51c6\u8868\u793a\uff0c\u4e3a\u865a\u62df\u89d2\u8272\u521b\u5efa\u5176\u52a8\u6001\u3002<\/p>\n<p>\u200d<\/p>\n<h3>\u4e0e\u6d4b\u91cf\u5171\u540c\u53d1\u5c55\u7684\u52a8\u753b\u8868\u793a<\/h3>\n<p>\u533a\u522b\u4e8e\u4ee5\u52a8\u6001\u8868\u73b0\u53ca\u89c2\u611f\u4e3a\u4e3b\u5bfc\u7684\u8ba1\u7b97\u673a\u52a8\u753b\uff0c\u66f4\u591a\u4e13\u4e1a\u90bb\u57df\u4e5f\u9010\u6e10\u5c06\u89c6\u91ce\u6295\u5411\u4eba\u548c\u52a8\u4f5c\u7684\u8868\u793a\u3002<\/p>\n<p>\u4eba\u4eec\u5bf9\u4eba\u7c7b\u8eab\u4f53\u7684\u8868\u793a\uff0c\u4ece\u8eab\u59ff\u3001\u5230\u8868\u60c5\u3001\u5230\u624b\u52bf\uff0c\u90fd\u5728\u4e0d\u65ad\u5b8c\u5584\u3002\u8fd9\u4e9b\u8981\u7d20\u88ab\u4e0d\u65ad\u4f18\u5316\u548c\u6574\u5408\uff0c\u4ee5\u6e10\u62fc\u51d1\u51fa\u4e00\u4e2a\u5b8c\u6574\u7684\u6570\u5b57\u4eba\u96cf\u5f62\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u4ee5\u9762\u90e8\u5efa\u6a21\u4e3a\u4f8b\uff0c\u8d77\u5230\u5f00\u521b\u6027\u4f5c\u7528\u7684\u4e3a 1999 \u5e74 Blanz \u548c Vetter \u63d0\u51fa\u7684 A morphable model for the synthesis of 3D faces (\u7528\u4e8e\u5408\u6210 3D \u9762\u90e8\u7684\u53ef\u53d8\u5f62\u6a21\u578b)\u3002\u4ece\u8fd9\u65f6\u8d77\uff0c\u4ece\u626b\u63cf\u6570\u636e\u4e2d\u5b66\u4e60 3D \u9762\u90e8\u5f62\u72b6\u53ca\u8868\u60c5\u7684\u505a\u6cd5\u4fbf\u8f6c\u5411\u5174\u76db\u3002\u8fd9\u7c7b\u6a21\u578b\u53d7\u5230\u5fc3\u7406\u5b66\u4e0a\u7684\u9762\u90e8\u52a8\u4f5c\u7f16\u7801\u7cfb\u7edf FACS \u542f\u53d1\uff0c\u5176\u5171\u540c\u70b9\u5728\u4e8e\u53ef\u4ee5\u5e7f\u6cdb\u5730\u8868\u73b0\u4e0d\u540c\u7684\u9762\u90e8\u5f62\u72b6\u548c\u8868\u60c5\u7279\u5f81\u3002\u57fa\u4e8e\u6b64\u6700\u7ec8\u4ea7\u751f\u4e86 FLAME \u8fd9\u79cd\u5bf9\u5b8c\u6574\u5934\u9888\u7684\u5411\u91cf\u5316\u8868\u793a\u3002<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291222543.png\" alt=\"image\" title=\"FLAME:\" \/>\u200b<\/p>\n<p><em>\u867d\u7136\u8fd9\u4e2a 17 \u5e74\u7684\u5de5\u4f5c\u5df2\u7ecf\u5b8c\u5168\u4e0d\u662f 1990s \u4e86\uff08\u6276\u989d<\/em><\/p>\n<p>\u200d<\/p>\n<p>\u53e6\u4e00\u65b9\u9762\uff0c\u968f\u7740 3D \u8eab\u4f53\u626b\u63cf\u4eea\u8fdb\u5165\u6c11\u7528\u5e02\u573a\uff0c\u8eab\u4f53\u5f62\u6001\u5efa\u6a21\u7684\u95ee\u9898\u88ab\u63a8\u4e0a\u53f0\u9762\u3002 \u5728\u76f8\u5173\u9886\u57df\u7684\u53d1\u5c55\u4e2d\u8d77\u5230\u9636\u6bb5\u6027\u4f5c\u7528\u7684\u662f CAESAR \u6570\u636e\u96c6\uff0c\u5176\u63a8\u51fa\u5e26\u6765\u4e86\u4eba\u4f53 \u5f62\u6001\u5b66\u4e60\u7684\u7814\u7a76[19]\u3002\u8fd9\u4e9b\u65e9\u671f\u5de5\u4f5c\u4e3b\u8981\u96c6\u4e2d\u4e8e\u4f7f\u7528\u59ff\u52bf\u5927\u81f4\u76f8\u540c\u7684\u4eba\u4f53\u8fdb\u884c\u626b\u63cf\u6765\u7814\u7a76\u8eab\u4f53\u5f62\u6001\uff0c\u5e76\u4f7f\u7528\u4e09\u89d2\u9762\u5f62\u53d8\u6216\u9876\u70b9\u4f4d\u79fb\u7b49\u65b9\u6848\u6765\u5206\u89e3\u8eab\u4f53\u7684\u5f62\u72b6 \u548c\u59ff\u52bf\u53d8\u5316\uff0c\u6b64\u7c7b\u4eba\u4f53\u6784\u5efa\u6a21\u578b\u4e2d\u7684\u5178\u578b\u4fbf\u662f SMPL\uff08\u4e5f\u662f\u540e\u7eed\u4f1a\u4ecb\u7ecd\u7684\u91cd\u70b9\u5609\u5bbe\uff09\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ps.is.tuebingen.mpg.de\/uploads\/publication\/image\/22547\/smplx_teaser_watermark.png\" alt=\"SMPL-X\" title=\"SMPL-X\" \/><\/p>\n<p>\u200d<\/p>\n<p>\u57fa\u4e8e\u8fd9\u4e00\u7cfb\u5217\u7684\u8868\u793a\uff0c\u4f7f\u5f97\u8ba1\u7b97\u673a\u80fd\u4ee5\u66f4\u5408\u7406\u66f4\u7b80\u6d01\u7684\u65b9\u5f0f\u5bf9\u52a8\u4f5c\u8fdb\u884c\u8868\u793a\u3002<\/p>\n<p>\u200d<\/p>\n<h3>\u9053\u8def\u4e4b\u4e89 \u2014\u2014 \u5b66\u754c\u4e0e\u5de5\u4e1a\u7684\u5206\u7acb<\/h3>\n<p>\u200d<\/p>\n<p>\u5b66\u754c\u4e0e\u5de5\u4e1a\u754c\u7684\u5206\u7acb\uff0c\u4ec5\u5728\u52a8\u4f5c\u8fd9\u4e00\u9886\u57df\u800c\u8a00\uff0c\u4ea6\u662f\u201c\u73b0\u5b9e\u201d\u4e0e\u201c\u7406\u60f3\u201d\u7684\u5206\u7acb\u3002<\/p>\n<p>\u8fd9\u79cd\u5206\u7acb\u4e0d\u4ec5\u5b58\u5728\u4e8e\u6570\u636e\u6216\u8005\u8bf4\u9886\u57df\u672c\u8eab\u4e0a\uff1a\u5b66\u754c\u503e\u5411\u4e8e\u901a\u8fc7\u76f4\u63a5\u800c\u7b80\u6d01\u800c\u7406\u60f3\u5316\u7684\u5efa\u6a21\u6765\u62bd\u8c61\u73b0\u5b9e\u95ee\u9898\uff0c\u4f46\u6700\u540e\u53c8\u6267\u7740\u4e8e\u62bd\u8c61\u672c\u8eab\uff0c\u4e0d\u518d\u5c06\u773c\u5149\u653e\u56de\u73b0\u5b9e\u3002\u800c\u76f8\u5bf9\u7684\uff0c\u52a8\u4f5c\u5de5\u4e1a\u754c\u7acb\u8db3\u4e8e\u5bf9\u8d85\u51fa\u73b0\u5b9e\u7684\u7406\u60f3\u4e16\u754c\u7684\u5851\u9020\uff0c\u800c\u5176\u4e2d\u9047\u5230\u7684\u6240\u6709\u56f0\u96be\uff0c\u4e5f\u4f1a\u6700\u7ec8\u843d\u4f1a\u73b0\u5b9e\u4e4b\u4e0a\u3002\u8fd9\u756a\u54ac\u6587\u56bc\u5b57\u591a\u5c11\u663e\u5f97\u6709\u8da3\u4e86\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u5f53\u7136\uff0c\u8ba9\u6211\u4eec\u6536\u56de\u6b63\u7ecf\u8bdd\u9898\uff0c\u8fd9\u662f\u524d\u4e9b\u65f6\u65e5\u5bf9 MotionGPT \u4f5c\u8005\u7684\u91c7\u8bbf\u63d0\u95ee\u4e00\u5219\uff0c\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u66b4\u9732\u4e86\u8fd9\u4e2a\u95ee\u9898\u3002<em>\u4f46\u4e5f\u786e\u5b9e\u5982\u6b64\uff0c\u8868\u793a\u7684\u521b\u5efa\u53ca\u5176\u88ab\u9009\u62e9\uff0c\u90fd\u5929\u751f\u5e26\u7740\u5f85\u89e3\u51b3\u95ee\u9898\u7684\u503e\u5411<\/em><\/p>\n<blockquote>\n<p>Q\uff1a\u63a5\u7eed\u4e0a\u4e00\u4e2a\u95ee\u9898\uff0c\u52a8\u4f5c\u751f\u6210\u8bfe\u9898\u76f8\u6bd4\u56fe\u50cf\u662f\u5426\u6709\u8db3\u591f\u7684\u591a\u6837\u6027\u548c\u540c\u4e49\u6027\uff08\u6216\u8005\u8bf4\u57fa\u4e8e\u73b0\u6709\u7684 HumanML3D \u6570\u636e\u96c6\uff09\uff0c\u4ee5\u81f3\u4e8e\u9700\u8981\u4f7f\u7528 Diffusion \u8fdb\u884c\u751f\u6210\u5462\uff08\u597d\u5947 MotionGPT \u73b0\u5728\u4f7f\u7528 T5 \u6765\u751f\u6210\uff0c\u662f\u4e0d\u662f\u5df2\u7ecf\u80fd\u901a\u8fc7\u6587\u672c Cover \u7edd\u5927\u591a\u6570\u52a8\u4f5c\u4e86\uff1f<\/p>\n<p>A\uff1a\u5176\u5b9e\u76ee\u524d HumanML3D \u7684\u591a\u6837\u6027\u4ee5\u53ca\u6570\u636e\u91cf\u4e0a\u8fd8\u662f\u6709\u95ee\u9898\u7684\uff0c\u5bf9\u4e8e\u8d70\u8dd1\u8df3\u8fd9\u7c7b\u751f\u6d3b\u4e2d\u5e38\u89c1\u7684\u52a8\u4f5c\uff0c\u6700\u8fd1\u6bd4\u8f83\u597d\u7684\u65b9\u6cd5\u786e\u5b9e\u90fd\u5b8c\u6210\u7684\u4e0d\u9519\u4e86\uff0c\u5927\u5bb6\u5728 HumanML3D \u8fd9\u4e2a\u6570\u636e\u96c6\u7684\u8bc4\u6d4b\u6307\u6807\u4e0a\u4e5f\u786e\u5b9e\u90fd\u5237\u7684\u5f88\u9ad8\u3002\u4f46\u662f\u79bb\u7fa4\u591a\u4e9b\u7684\u52a8\u4f5c\u7c7b\u578b\uff0c\u6bd4\u5982\u6709\u7279\u5b9a\u59ff\u52bf\u7684\u4f53\u80b2\u8fd0\u52a8\uff0c\u50cf\u4f53\u64cd\u8df3\u6c34\u4e4b\u7c7b\u7684\u52a8\u4f5c\uff0c\u5b9e\u9645\u4e0a\u73b0\u6709\u65b9\u6cd5\u90fd\u6ca1\u6709\u529e\u6cd5\u5b8c\u6210\uff0c\u56e0\u4e3a\u6570\u636e\u96c6\u4e2d\u8981\u4e0d\u6ca1\u6709\u3001\u8981\u4e0d\u53ea\u6709\u51e0\u4f8b\u8fd9\u6837\u7684\u6570\u636e\u7684\u8bdd\u6a21\u578b\u662f\u5b66\u4e0d\u597d\u7684\u3002<\/p>\n<\/blockquote>\n<p>\u200d<\/p>\n<p>\u53e6\u4e00\u65b9\u9762\uff0c\u5b66\u754c\u548c\u5de5\u4e1a\u754c\u96be\u4ee5\u6253\u901a\uff0c\u5c31\u50cf\u73b0\u5b9e\u548c\u7406\u60f3\u603b\u662f\u5206\u7acb\uff0c\u662f\u4e2a\u6c38\u6052\u7684\u96be\u9898\u3002<\/p>\n<p>\u800c\u7acb\u8db3\u5230\u6211\u4eec\u4eca\u5929\u8ba8\u8bba\u7684\u4e3b\u9898\u66f4\u751a \u2014\u2014 \u5728 AI \u7ed8\u753b\u9886\u57df\uff0c\u6240\u6709\u4eba\u7528\u7740\u901a\u7528\u7684\u201c\u8868\u793a\u201d\uff0c\u8272\u5f69\u77e9\u9635\u4e0e\u5c4f\u5e55\u8db3\u4ee5\u5411\u6240\u6709\u4eba\u4f20\u9012\u753b\u9762\u7684\u7f8e\u4e3d\uff1b\u5728 AI \u6587\u672c\u9886\u57df\uff0c\u5929\u5357\u5730\u5317\u7684\u4eba\u4eec\u7528\u7740\u901a\u7528\u7684\u81ea\u7136\u8bed\u8a00\u8868\u8fbe\u903b\u8f91\u4e0e\u5185\u5bb9\uff0c\u8fd9\u79cd\u8fde\u7ed3\u751a\u81f3\u80fd\u8de8\u8d8a\u8bed\u7cfb\u548c\u5730\u57df\u3002<\/p>\n<p>\u800c\u5728 AI \u52a8\u753b\u9886\u57df\uff0c\u4f60\u5c06\u6253\u5f00\u4e00\u4e2a\u4e2a\u9879\u76ee\uff0c\u9762\u5bf9\u7740\u6c38\u8fdc\u4e0d\u540c\u7684 .FBX\u3001.BVH\u3001.NPZ \u540e\u7f00\uff0c\u5728\u50bb\u903c\u7684\u683c\u5f0f\u8f6c\u6362\u4e4b\u4e2d\u7126\u5934\u70c2\u989d\uff0c\u8fd8\u8981\u4e0d\u65ad\u5c1d\u8bd5\u5904\u7406\u548c\u7ffb\u8f6c\u4e00\u5806\u6c38\u8fdc\u5bf9\u4e0d\u4e0a\u7684\u5750\u6807\u4fe1\u606f\u548c\u6bd4\u4f8b\u5c3a\u4fe1\u606f\uff08\u4e50<\/p>\n<p>\u200d<\/p>\n<ul>\n<li>\u5728\u5de5\u4e1a\u754c\uff0c\u52a8\u753b\u5e08\u901a\u8fc7 FBX \u4e43\u81f3\u5176\u5b83\u9ad8\u7ea7\u6587\u4ef6\u50a8\u5b58\u52a8\u753b\u4fe1\u606f\uff0c\u901a\u8fc7\u8bb0\u5f55\u4e0d\u540c\u540d\u5b57\u548c\u8fde\u63a5\u5173\u7cfb\u7684\u9aa8\u9abc\u5176\u65cb\u8f6c\u4e0e\u4f4d\u79fb\u4f20\u9012\u52a8\u753b\u6587\u4ef6\u5e76\u5408\u4f5c<\/li>\n<li>\u5728\u5de5\u4e1a\u5b66\u672f\u754c\uff08\u4ee5 Siggraph \u4e3a\u9996\u7684\u524d\u6cbf\u56fe\u5f62\u5b66\uff09\uff0c\u4e60\u60ef\u4f7f\u7528 BVH \u7b49\u6570\u636e\u7ed3\u6784\u9ad8\u6548\u50a8\u5b58\u5404\u79cd\u8fd0\u52a8\u4fe1\u606f\u548c\u57fa\u672c\u9aa8\u67b6\uff0c\u4e13\u6ce8\u4e8e\u5bf9\u6570\u636e\u672c\u8eab\u7684\u5b66\u4e60\u548c\u5904\u7406<\/li>\n<li>\u5728\u5b66\u672f\u754c\uff08\u8fd9\u91cc\u6307\u7684\u4e3b\u8981\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\u5b66\u672f\u754c\uff09\uff0c\u5219\u4e50\u4e8e\u57fa\u4e8e SMPL \u7cfb\u7684\u65e2\u6709\u8f6e\u5b50\u548c\u6570\u636e\u8fdb\u884c\u5f00\u53d1\uff0c\u6349\u6478\u7b97\u6cd5\u6a21\u578b\u672c\u8eab\u7684\u6027\u80fd\uff0c\u5e76\u4ee5\u6253\u699c\u53d1\u8bba\u6587\u4e3a\u9996\u8981\u8ffd\u6c42<\/li>\n<\/ul>\n<p>\u200d<\/p>\n<p>\u591a\u7684\u69fd\u5c31\u4e5f\u4e0d\u5410\u4e86\uff0c\u6bd5\u7adf\u8bf4\u5230\u5e95\u6240\u6709\u503c\u5f97\u6c89\u6dc0\u7684\u4f18\u79c0\u5de5\u4f5c\uff0c\u6700\u7ec8\u90fd\u5c06\u5316\u4e3a\u9020\u798f\u5927\u4f17\u7684\u751f\u4ea7\u529b\u561b\uff0c\u65e0\u975e\u662f\u5176\u8def\u5f84\u957f\u77ed\u7f62\u3002\u662f\u65f6\u5019\u907f\u514d\u8fdb\u4e00\u6b65\u5730\u8dd1\u9898\u5566\u3002<\/p>\n<p>\u200d<\/p>\n<h2>2010s \u2014\u2014 \u201c\u5b66\u4e60\u201d\u7684\u4f1f\u5927\u590d\u5174<\/h2>\n<p>\u5148\u524d\uff0c\u6211\u4eec\u5728\u201c\u8868\u793a\u201d\u4e00\u8282\u4e2d\u8ba8\u8bba\u4e86\u5b66\u672f\u548c\u5de5\u4e1a\u5404\u81ea\u5e38\u7528\u7684\u8868\u793a\u65b9\u5f0f\uff0c\u4f46\u6211\u8981\u60b2\u75db\u5730\u544a\u8bc9\u5927\u5bb6\uff0c\u867d\u7136\u8fd9\u662f\u4e00\u7bc7\u610f\u56fe\u7acb\u8db3\u4e8e\u5de5\u4e1a\u5e94\u7528\u7684\u6587\u7ae0\uff0c\u4f46\u6211\u4eec\u7684\u51fa\u53d1\u70b9\u5374\u4e0d\u5f97\u4e0d\u4ece\u5b66\u672f\u5f00\u59cb\u3002<\/p>\n<p>\u5e94\u4e3a\u8fd9\u6b21\u5e94\u7528\u9769\u547d\u7684\u5e0c\u671b\uff0c\u6b63\u662f\u4ece\u6df1\u5ea6\u5b66\u4e60\u7684\u6700\u524d\u6cbf\u626c\u8d77\u7684\u3002\u800c\u6211\u4e5f\u4f1a\u5c1d\u8bd5\u5411\u5927\u5bb6\u7b80\u5355\u4ecb\u7ecd\u8fd9\u4e00\u5386\u7a0b\u3002<em>\uff08\u7ec8\u4e8e\u56de\u5230\u6700\u719f\u6089\u9886\u57df\u7684\u611f\u89c9\u771f\u597d\uff09<\/em><\/p>\n<h3>\u795e\u7ecf\u7f51\u7edc \u2014\u2014 \u68a6\u7684\u5f00\u59cb<\/h3>\n<p>\u795e\u7ecf\u7f51\u7edc(Neural Network)\uff0c\u7a76\u5176\u8d77\u6e90\u5176\u5b9e\u6e90\u81ea\u4e0a\u4e2a\u4e16\u7eaa\u4e94\u516d\u5341\u5e74\u4ee3\uff0c\u5728\u90a3\u4e2a\u65f6\u4ee3\uff0c\u795e\u7ecf\u7f51\u7edc\u7684\u57fa\u7840\u8fd8\u88ab\u79f0\u4e3a\u591a\u5c42\u611f\u77e5\u673a(Multilayer Perceptron)\u3002<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291222023.png\" alt=\"image\" \/>\u200b<\/p>\n<p>\u6211\u4eec\u4f1a\u907f\u514d\u4e00\u4e9b\u8fc7\u4e8e\u6df1\u5c42\u7684\u6982\u5ff5\uff0c\u8f6c\u800c\u4ecb\u7ecd\u4e00\u4e9b\u504f\u5411\u76f4\u89c2\u7684\u5185\u5bb9\u3002<\/p>\n<p>\u4ee5\u4e0a\u8ff0\u795e\u7ecf\u7f51\u7edc\uff0c\u6216\u53eb\u591a\u5c42\u611f\u77e5\u673a\u4e3a\u4f8b\u3002\u6240\u6709\u795e\u7ecf\u7f51\u7edc\u5b9e\u9645\u4e0a\u90fd\u6709\u7740\u5b8c\u5168\u76f8\u540c\u7684\u62bd\u8c61\u3002<\/p>\n<div class=\"language-math\">y=f(\\mathbf{x})<\/div>\n<p>\u8fd9\u4e2a\u518d\u5e38\u89c1\u4e0d\u8fc7\u7684\u516c\u5f0f\u5c31\u662f\u795e\u7ecf\u7f51\u7edc\u7684\u672c\u8d28\uff0c<strong>\u5c1d\u8bd5\u62df\u5408\u4e00\u4e2a\u672a\u77e5\u7684\u51fd\u6570\u3002<\/strong><\/p>\n<p>\u53e6\u4e00\u65b9\u9762\uff0c\u795e\u7ecf\u7f51\u7edc\u4e5f\u662f\u4e00\u4e2a\u5b8f\u89c2\u548c\u5fae\u89c2\u517c\u5177\u7684\u95ee\u9898\u3002\u6211\u4eec\u5e38\u8bf4\u795e\u7ecf\u7f51\u7edc\u5c31\u662f\u4e00\u4e2a\u5f85\u6c42\u89e3\u7684\u51fd\u6570\uff0c\u4e0e\u6b64\u540c\u65f6\uff0c\u795e\u7ecf\u7f51\u7edc\u4e2d\u7684\u6bcf\u4e2a\u8282\u70b9\uff08\u6216\u8005\u88ab\u79f0\u4e3a\u795e\u7ecf\u5143\uff09\uff0c\u4e5f\u662f\u4e00\u4e2a\u672a\u77e5\u7684\u51fd\u6570\u3002<\/p>\n<div class=\"language-math\">y=f(\\mathbf{x})=w\\mathbf{x}+b<\/div>\n<p>\u5982\u516c\u5f0f\u6240\u793a\uff0c\u5f88\u591a\u60c5\u51b5\u4e0b\uff0c\u5728\u795e\u7ecf\u5143\u5c42\u9762\uff0c\u95ee\u9898\u90fd\u53ef\u4ee5\u88ab\u62bd\u8c61\u4e3a\u4e00\u4e2a\u591a\u9879\u5f0f\u51fd\u6570\u3002\u800c\u6211\u4eec\u901a\u8fc7\u5b66\u4e60\u8fc7\u7a0b\uff0c\u53bb\u5b66\u4e60\u6bcf\u4e2a\u5355\u5143\u4e2d\u7684\u53c2\u6570 <span class=\"language-math\">w,b<\/span>\uff0c\u5e76\u6700\u7ec8\u5c06\u6240\u6709\u5355\u5143\u6c47\u96c6\u4e3a\u5b8c\u6574\u7684\u7f51\u7edc\uff0c\u8ba9\u5176\u638c\u63e1\u6211\u4eec\u671f\u671b\u5176\u638c\u63e1\u7684\u76ee\u6807\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u5982\u4eca\uff0c\u5728\u4f20\u7edf\u795e\u7ecf\u7f51\u7edc\u7684\u8bbe\u8ba1\u601d\u8def\u7edf\u5fa1\u4e4b\u4e0b\uff0c\u901a\u8fc7\u8bf8\u591a\u7b97\u6cd5\u8bbe\u8ba1\u5e08\u5bf9\u7f51\u7edc\u5b8f\u89c2\u7ed3\u6784\u7684\u8c03\u63a7\u548c\u5fae\u89c2\u7b56\u7565\u7684\u6539\u8fdb\uff0c\u4f7f\u5f97\u795e\u7ecf\u7f51\u7edc\u80fd\u88ab\u7528\u4e8e\u5904\u7406\u6108\u591a\u7684\u95ee\u9898\u3002\u7531\u6b64\u6df1\u5ea6\u5b66\u4e60\u7684\u65f6\u4ee3\u9010\u6e10\u53d1\u5c55<\/p>\n<table>\n<thead>\n<tr>\n<th align=\"center\">\u95ee\u9898<\/th>\n<th align=\"center\">x<\/th>\n<th align=\"center\">y<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td align=\"center\">\u56fe\u50cf\u5206\u7c7b<\/td>\n<td align=\"center\">\u8f93\u5165\u56fe\u50cf<\/td>\n<td align=\"center\">\u56fe\u50cf\u7c7b\u522b<\/td>\n<\/tr>\n<tr>\n<td align=\"center\">\u6587\u672c\u751f\u6210<\/td>\n<td align=\"center\">\u8f93\u5165\u6587\u672c<\/td>\n<td align=\"center\">\u4e0b\u4e00\u6587\u672c<\/td>\n<\/tr>\n<tr>\n<td align=\"center\">\u56fe\u50cf\u751f\u6210<\/td>\n<td align=\"center\">\u63a7\u5236\u63d0\u793a\u8bcd<\/td>\n<td align=\"center\">\u751f\u6210\u56fe\u50cf<\/td>\n<\/tr>\n<tr>\n<td align=\"center\">\u52a8\u4f5c\u751f\u6210<\/td>\n<td align=\"center\">\u63a7\u5236\u63d0\u793a\u8bcd<\/td>\n<td align=\"center\">\u751f\u6210\u52a8\u4f5c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u200d<\/p>\n<h3>AlexNet \u4e0e\u89c6\u89c9 \u2014\u2014 \u73b0\u4ee3\u6df1\u5ea6\u5b66\u4e60\u7684\u5f00\u7aef<\/h3>\n<p>2012 \u5e74\uff0c\u662f\u6df1\u5ea6\u5b66\u4e60\u771f\u6b63\u7206\u53d1\u7684\u539f\u59cb\u5e74\u4efd\uff0c\u7edd\u5927\u591a\u6570\u6709\u7740 AI \u76f8\u5173\u80cc\u666f\u7684\u4eba\u90fd\u77e5\u9053\u5728\u8fd9\u4e00\u5e74\uff0cAlexNet \u8fd9\u9879\u5de5\u4f5c\u4f9d\u9760\u5176\u5728 ImageNet \u5927\u89c4\u6a21\u89c6\u89c9\u8bc6\u522b\u6311\u6218\u8d5b(ILSVRC)\u53d6\u5f97\u7684\u538b\u5012\u6027\u6210\u7ee9\uff0c\u6210\u4e3a\u4e86\u6df1\u5ea6\u5b66\u4e60\u548c\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u771f\u6b63\u5174\u76db\u7684\u5f00\u7aef\u3002<\/p>\n<p>\u5f53\u6211\u4eec\u8ffd\u6eaf\u76f8\u5173\u5386\u53f2\uff0c\u4e0d\u514d\u8981\u56de\u5230 2010 \u5e74\uff0c\u4e5f\u5373\u662f ImageNet \u51fa\u73b0\u7684\u5e74\u4efd\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u968f\u7740\u7b97\u529b\u7684\u53d1\u5c55\uff08\u4eca\u5929\u5148\u4e0d F U Nvidia\uff09\uff0c\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u80fd\u88ab\u7528\u4e8e\u66f4\u590d\u6742\u7684\u6570\u636e\u7ed3\u6784\u4e4b\u4e0a\uff08\u56fe\u50cf\u4f5c\u4e3a\u4e00\u4e2a\u5de8\u5927\u77e9\u9635\uff09\uff0c\u540c\u65f6\u4e5f\u652f\u6301\u4e86\u66f4\u590d\u6742\u7684\u6846\u67b6\u5176\u642d\u5efa\u3002\u8fd9\u4f7f\u5f97\u673a\u5668\/\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u518d\u6b21\u7115\u53d1\u751f\u673a\u3002<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291222235.png\" alt=\"image\" \/>\u200b<\/p>\n<p>ImageNet \u8fd9\u4e2a\u5305\u542b 1400w \u4f59\u56fe\u50cf\u6570\u636e\uff0c\u5e76\u5305\u542b 2w \u5206\u7c7b\u7684\u5927\u578b\u56fe\u50cf\u6570\u636e\u96c6\u88ab\u53d1\u5e03\uff0c\u5e76\u6b63\u662f\u6380\u8d77\u4e86\u673a\u5668\u5b66\u4e60\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u7684\u70ed\u6f6e\u3002<\/p>\n<p>2012 \u5e74\uff0c\u7531 Hinton \u548c Alex \u8bbe\u8ba1\u7684 AlexNet\uff0c\u901a\u8fc7\u8bbe\u8ba1\u548c\u5f15\u7528\u4e00\u7cfb\u5217 Trick\uff0c\u5c06\u5377\u79ef\u795e\u7ecf\u7f51\u7edc(Convolutional Neural Networks, CNN)\u6846\u67b6\u6210\u529f\u7f6e\u5165\u6df1\u5c42\u7f51\u7edc\u4e2d\uff0c\u5e76\u4f7f\u7528 GPU \u52a0\u901f\u8ba1\u7b97\u3002\u8fd9\u4e00\u7cfb\u5217\u5de5\u4f5c\u6253\u901a\u4e86\u8fc7\u53bb\u963b\u788d\u795e\u7ecf\u7f51\u7edc\u53d1\u5c55\u7684\u9634\u973e\uff0c\u7531\u6b64\u6b63\u5f0f\u6380\u8d77\u4e86\u6df1\u5ea6\u5b66\u4e60\u7684\u6d6a\u6f6e\u3002<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291222494.png\" alt=\"image\" \/>\u200b<\/p>\n<p>\u200d<\/p>\n<h3>\u5e8f\u5217\u6a21\u578b \u2014\u2014 \u4e0d\u6b62\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u590d\u5174<\/h3>\n<p>\u53e6\u4e00\u65b9\u9762\uff0c\u7531\u4e8e\u6211\u4eec\u8ba8\u8bba\u7684\u6838\u5fc3\u662f\u53d7\u63a7\u751f\u6210\u95ee\u9898\uff0c\u4e5f\u4e0d\u514d\u8981\u63d0\u5230\u81ea\u7136\u8bed\u8a00\u5904\u7406\u8fd9\u4e00\u6d3e\u7cfb\u3002<\/p>\n<p>\u5728 AlexNet \u63ed\u793a\u6df1\u5c42\u7f51\u7edc\u548c\u52a0\u901f\u8ba1\u7b97\u7684\u53ef\u80fd\u6027\u4e4b\u540e\uff0c\u56f0\u6270\u5728\u6240\u6709\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u5934\u4e0a\u7684\u9634\u4e91\u90fd\u4e00\u5e76\u6380\u5f00\u4e86\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u5728\u9ed1\u6697\u5e74\u4ee3\uff0c\u81ea\u7136\u8bed\u8a00\u5904\u7406 (Natural Language Processing, NLP) \u9886\u57df\u796d\u5960\u4e86\u65e0\u6570\u5177\u6709\u4ef7\u503c\u7684\u5de5\u4f5c\uff0c\u8bf8\u5982\u5faa\u73af\u795e\u7ecf\u7f51\u7edc (Recurrent Neural Network, RNN) \u548c\u957f\u77ed\u65f6\u8bb0\u5fc6\u7f51\u7edc\uff08Long Short-Term Memory Network, LSTM\uff09\u7b49\u7f51\u7edc\u6846\u67b6\u90fd\u5728\u8fd9\u6bb5\u65f6\u95f4\u5185\u88ab\u53d1\u660e\uff08\u5f53\u7136\u6211\u4eec\u6682\u65f6\u4e0d\u7528\u8fc7\u4e8e\u6ce8\u610f\u5176\u672c\u8eab\u7684\u529f\u80fd\u548c\u539f\u7406\uff09\uff0c\u6709\u6548\u5c06\u5e8f\u5217\u95ee\u9898\u5f15\u5165\u4e86\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u3002<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291222611.png\" alt=\"image\" \/>\u200b<\/p>\n<p>\u200d<\/p>\n<p>\u7b80\u5355\u6765\u8bf4\uff0c\u5b83\u901a\u8fc7\u5efa\u6a21\u4e86\u7f51\u7edc\u5728\u65f6\u95f4\u4e0a\u7684\u4f20\u9012\u5173\u7cfb\uff0c\u4f7f\u5f97\u7f51\u7edc\u80fd\u5b66\u4e60\u5177\u6709\u5f3a\u4e0a\u4e0b\u6587\u903b\u8f91\u5173\u8054\u7684\u5e8f\u5217\uff0c\u800c\u975e\u4ec5\u9650\u4e8e\u5e73\u94fa\u8f93\u5165\u7684\u7b80\u5355\u95ee\u9898\uff08\u5982\u5c1a\u672a\u8fbe\u5230\u89c6\u9891\u5c42\u9762\u7684\u56fe\u50cf\u95ee\u9898\uff09\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u57fa\u4e8e\u6b64\uff0c\u5bf9\u89c6\u9891\u3001\u52a8\u4f5c\u7b49\u5728\u65f6\u95f4\u4e0a\u5f3a\u5173\u8054\u7684\u201c\u8868\u793a\u201d\uff0c\u4e5f\u6709\u4e86\u88ab\u795e\u7ecf\u7f51\u7edc\u5efa\u6a21\u7684\u53ef\u884c\u6027\u3002<\/p>\n<p>\u200d<\/p>\n<h3>\u751f\u6210\u7b97\u6cd5 \u2014\u2014 \u770b\u597d\u4e86\uff0cAI \u662f\u8fd9\u4e48\u7528\u7684<\/h3>\n<p>\u200d<\/p>\n<p>\u5c31\u5728 AI \u5728\u5206\u7c7b\u3001\u56de\u5f52\u7b49\u95ee\u9898\u4e0a\u53d1\u5c55\u5f97\u5982\u706b\u5982\u837c\u65f6\uff0c\u53d1\u8868\u4e8e 2014 \u5e74\u7684\u751f\u6210\u5bf9\u6297\u7f51\u7edc (Generative Adversarial Networks, GANs) \u4e3a AI \u63ed\u793a\u4e86\u65b0\u7684\u7814\u7a76\u65b9\u5411\uff0c\u5373\u751f\u6210\u8bfe\u9898 \u2014\u2014 AI \u80fd\u505a\u7684\u4e0d\u4ec5\u4ec5\u662f\u5224\u65ad\uff0c\u8fd8\u6709\u521b\u9020\u3002<\/p>\n<p>\u800c\u8fd9\u4e00\u8bfe\u9898\uff0c\u4e5f\u6b63\u662f\u5f53\u4eca\u57fa\u4e8e Diffusion \u7684 AI \u7ed8\u753b\u76f8\u5173\u7814\u7a76\u7684\u5f00\u7aef\u3002<\/p>\n<blockquote>\n<p>(GANs are) the coolest idea in Deep Learning in the last 20 years.<\/p>\n<p>\u2014\u2014 Yann LeCun, Facebook\u2019s AI chief<\/p>\n<\/blockquote>\n<p><em>\uff08\u539f\u672c\u51c6\u5907\u5bf9\u6bd5\u4e1a\u8bba\u6587\u8fdb\u884c\u4e00\u4e2a\u56fe\u7684\u622a\uff0c\u60f3\u4e86\u60f3\u8fd8\u662f\u4e0d\u8981\u641e\u5f97\u592a\u62bd\u8c61\uff09<\/em><\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291222784.png\" alt=\"image\" \/>\u200b<\/p>\n<p><a href=\"https:\/\/zhuanlan.zhihu.com\/p\/408766083\" target=\"_blank\"  rel=\"nofollow\" >GAN \u8be6\u89e3 - \u77e5\u4e4e (zhihu.com)<\/a> \u8fd9\u91cc\u501f\u7528\u77e5\u4e4e\u4e00\u7bc7\u4f18\u79c0\u6587\u7ae0\u7684\u63d2\u56fe\u3002<\/p>\n<p>GANs \u7684\u539f\u7406\u4e3a\uff0c\u6784\u9020\u4e24\u4e2a AI \u5355\u5143\u5206\u522b\u4f5c\u4e3a\u751f\u6210\u5668\u548c\u5224\u522b\u5668\uff1a<\/p>\n<ul>\n<li>\u751f\u6210\u5668\u8d1f\u8d23\u65e0\u4e2d\u751f\u6709\uff0c\u8bd5\u56fe\u51ed\u7a7a\u521b\u5efa\u51fa\u4e0e\u6211\u4eec\u751f\u6210\u76ee\u6807\u76f8\u4f3c\u7684\u5047\u6837\u672c\uff08\u4ee5\u5047\u4e71\u771f\uff09<\/li>\n<li>\u5224\u522b\u5668\u8d1f\u8d23\u660e\u5bdf\u79cb\u6beb\uff0c\u7528\u4e8e\u68c0\u9a8c\u751f\u6210\u5668\u751f\u6210\u7684\u7ed3\u679c\u662f\u5426\u8db3\u591f\u6ee1\u8db3\u6211\u4eec\u7684\u751f\u6210\u76ee\u6807<\/li>\n<\/ul>\n<p>\u901a\u8fc7\u8fd9\u4e24\u4e2a\u6a21\u5757\u7684\u5de6\u53f3\u4e92\u640f\uff0c\u6211\u4eec\u8bd5\u56fe\u4f7f\u5f97\u751f\u6210\u5668\u80fd\u591f\u4e0d\u65ad\u521b\u5efa\u51fa\u66f4\u4f18\u8d28\u3001\u66f4\u96be\u5206\u8fa8\u7684\u4f5c\u54c1\u3002<\/p>\n<p><img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291240851.png\" alt=\"tmpB352\" \/><\/p>\n<p>\u4e0a\u56fe\u4e3a\u6211\u5728\u4e09\u5e74\u591a\u524d\u4f7f\u7528\u4e00\u4e2a Waifu \u751f\u6210\u7f51\u7ad9\uff0c\u901a\u8fc7 GANs \u751f\u6210\u7684\uff0c\u81f3\u4eca\u8fd8\u88ab\u6211\u7528\u5728\u633a\u591a\u5e73\u53f0\u7684\u8d26\u53f7\u4e0a\uff08\u7b11<\/p>\n<p>\u5f53\u65f6\u7fd8\u9996\u4ee5\u76fc GANs \u627e\u5230\u65b0\u7684\u7a81\u7834\u53e3\uff0c\u521b\u9020\u66f4\u591a Waifu \u7684\u6c34\u53cb\u4eec\u3002\u8c01\u53c8\u80fd\u60f3\u5f97\u5230\u4ec5\u5728\u4e24\u5e74\u5185\uff0cDiffusion \u6280\u672f\u7a81\u98de\u731b\u8fdb\uff0c\u4fe8\u7136\u8981\u53d6\u4ee3 GANs \u6210\u4e3a\u65b0\u7684\u751f\u6210\u8303\u5f0f\u3002\uff08\u5bf9\u4e8e Diffusion \u7684\u4ecb\u7ecd\u5219\u8981\u79fb\u81f3\u4e0b\u6587\u524d\u6cbf\u7684\u5730\u5e26\u4e86\u3002<\/p>\n<p>\u5f53\u7136\uff0cGANs \u5728\u5176\u5b83\u633a\u591a\u9886\u57df\u5176\u5b9e\u4e5f\u4ecd\u662f\u9002\u7528\u7684\uff0c\u4f46\u5176\u7559\u7ed9 AI \u6700\u73cd\u8d35\u7684\u8d22\u5bcc\u8fd8\u662f\u5bf9\u751f\u6210\u95ee\u9898\u7684\u5411\u5f80\u3002<\/p>\n<p>\u200d<\/p>\n<h3>Transformer \u2014\u2014 \u98de\u5347\u4e0e\u73b0\u4ee3\u795e\u7ecf\u7f51\u7edc<\/h3>\n<p>\u5728\u6682\u4e14\u6392\u9664\u7eaf\u7cb9\u7684\u751f\u6210\u95ee\u9898\u8fd9\u4e00\u53d1\u5c55\u652f\u7ebf\u540e\uff0c\u5bf9 AI \u4e3b\u5e72\u5f71\u54cd\u6700\u4e3a\u5f3a\u70c8\u7684\u4ecd\u662f 2018 \u5e74\u63d0\u51fa\u7684 Transformer \u6a21\u578b\u3002\u5927\u5bb6\u6216\u8bb8\u90fd\u5bf9\u6b64\u6709\u6240\u8033\u95fb\uff0c\u5373\u65f6\u5e76\u672a\u542c\u8fc7\u5176\u672c\u540d\uff0c\u5fc5\u7136\u4e5f\u5728 GPT(Generative Pre-Trained Transformer) \u5373\u751f\u6210\u5f0f\u9884\u8bad\u7ec3 Transformer \u6a21\u578b\u4e2d\u8ba4\u8bc6\u8fc7\u5b83\u3002<\/p>\n<p>GPT \u4e2d\u7684 Generative \u867d\u4e0e\u524d\u6587\u63d0\u5230\u7684\u751f\u6210\u5e76\u975e\u540c\u4e00\u7b97\u6cd5\uff0c\u4f46\u5176\u5728\u7cbe\u795e\u4e0a\u7a0d\u6709\u5ef6\u7eed\uff1b\u53e6\u4e00\u65b9\u9762\uff0cPre-Trained \u8fd9\u4e00\u5173\u952e\u8bcd\u4e5f\u6b63\u662f\u6211\u4eec\u4e0b\u4e00\u5c0f\u8282\u6240\u8981\u8ba8\u8bba\u7684\u3002<\/p>\n<p>\u200d<\/p>\n<p>Transformer \u5176\u672c\u8eab\u7684\u539f\u7406\u5176\u5b9e\u53c8\u7a0d\u663e\u590d\u6742\u4e86\uff0c\u4e5f\u4e0d\u77e5\u65b9\u4e0d\u65b9\u4fbf\u7528\u7b80\u5355\u7684\u8bed\u53e5\u8fdb\u884c\u6982\u62ec\u3002<\/p>\n<p>Transformer \u4e0e RNN \u540c\u51fa\u8eab\u4e8e\u81ea\u7136\u8bed\u8a00\u5904\u7406\u9886\u57df\uff0c\u56e0\u6b64\u4ed6\u4eec\u90fd\u5929\u7136\u5173\u6ce8\u7740\u5e8f\u5217\u95ee\u9898\u3002\u4f46\u4e0d\u540c\u4e8e RNN \u5c06\u5e8f\u5217\u5efa\u6a21\u4e3a\u5728\u524d\u540e\u7d27\u5bc6\u76f8\u5173\u7684\u7ebf\u6027\u5e8f\u5217\uff0cTransformer \u503e\u5411\u4e8e\u5bf9\u5e8f\u5217\u7684\u5168\u5c40\u8fdb\u884c\u5efa\u6a21\uff08\u50cf\u662f\u53c8\u56de\u53bb\u4e86\uff09<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291237552.png\" alt=\"image\" \/>\u200b<\/p>\n<p>\u56fe\u6e90 <a href=\"https:\/\/graphdeeplearning.github.io\/post\/transformers-are-gnns\/\" target=\"_blank\"  rel=\"nofollow\" >Transformers are Graph Neural Networks | NTU Graph Deep Learning Lab<\/a><\/p>\n<blockquote>\n<p><em>\u82b1\u7d6e\uff1a\u7ffb\u904d\u5168\u7f51\u627e\u5230\u8fd9\u5f20\u56fe\u4e4b\u540e\uff0c\u6211\u53d1\u73b0\u65e9\u5728\u4e94\u4e2a\u6708\u524d\u5199\u4e00\u7bc7 ChatGPT \u4f7f\u7528\u76f8\u5173\u5206\u4eab\u65f6\uff0c\u5c31\u5728\u4ecb\u7ecd\u80cc\u666f\u5904\u5c31\u5f15\u7528\u8fc7\u540c\u4e00\u5f20\u3002\u800c\u518d\u5f80\u4e0a\u8fd8\u539f\u6a21\u539f\u6837\u6446\u7740\u524d\u8fb9\u4ecb\u7ecd RNN \u7684\u90a3\u5f20\u3002\u6211\u7684\u5ba1\u7f8e\u8fd8\u633a\u8fde\u8d2f\u3002<\/em><\/p>\n<\/blockquote>\n<p>\u533a\u522b\u4e8e RNN \u7684\u7eaf\u7ebf\u6027\uff0cTransformer \u4f9d\u9760\u6ce8\u610f\u529b\u673a\u5236\uff0c\u901a\u8fc7\u7f51\u7edc\u6784\u5efa\u8f93\u5165\u4e2d\u66f4\u590d\u6742\u7684\u56fe\u5173\u7cfb\u3002<\/p>\n<p>\u800c\u8fd9\u79cd\u5bf9\u8f93\u5165\u5efa\u6a21\u7684\u81ea\u7531\u5ea6\uff0c\u4e5f\u6210\u4e3a\u4e86 Transformer \u5728\u5bc6\u96c6\u8ba1\u7b97\u4e0b\uff0c\u8868\u793a\u80fd\u529b\u5f3a\u4e8e RNN\u3001CNN \u7684\u91cd\u8981\u539f\u56e0<\/p>\n<blockquote>\n<p><strong>\u518d\u8bba\u201c\u8868\u793a\u201d\uff1a<\/strong>\u201c\u8868\u793a\u201d\uff0c\u5373\u6570\u636e\u88ab\u8ba1\u7b97\u673a\u6a21\u578b\u8ba4\u77e5\u7684\u65b9\u5f0f\uff0c\u6b63\u5982\u7ebf\u6027\u6587\u672c\u88ab RNN \u7ebf\u6027\u8ba4\u77e5\uff0c\u56fe\u50cf\u77e9\u9635\u88ab CNN \u9760\u5c40\u90e8\u7279\u5f81\u77e9\u9635\u8ba4\u77e5\u3002\u6570\u636e\u7684\u8868\u793a\u5f62\u5f0f\u5929\u7136\u5c31\u5305\u542b\u7740\u67d0\u79cd\u5047\u8bbe\uff08\u6216\u8005\u8bf4\u6e90\u81ea\u4eba\u7c7b\u8ba4\u77e5\u7684\u504f\u7f6e\uff09<\/p>\n<p>\u4f46\u6709\u8da3\u7684\u662f\uff0c\u6709\u65f6\u6211\u4eec\u5e0c\u671b\u5f3a\u5316\u504f\u7f6e\u7684\u5b58\u5728\uff0c\u5e76\u4ece\u504f\u7f6e\u4e2d\u5b66\u4e60\u6211\u4eec\u671f\u671b\u7684\u7279\u5f81\u3002\u800c\u6709\u65f6\u6211\u4eec\u6709\u5e0c\u671b\u80fd\u53bb\u9664\u504f\u7f6e\uff0c\u8131\u79bb\u4eba\u7c7b\u56e0\u6709\u9650\u800c\u663e\u5f97\u53ef\u60b2\u7684\u89c6\u89d2\u3002<\/p>\n<p>\u200d<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/1806.01261\" target=\"_blank\"  rel=\"nofollow\" >[1806.01261] Relational inductive biases, deep learning, and graph networks (arxiv.org)<\/a><\/p>\n<p>\u987a\u5e26\u5206\u4eab\u4e00\u7bc7\u5f88\u559c\u6b22\u7684\u8bba\u6587\uff0c\u867d\u7136\u56fe\u7f51\u7edc\u7684\u7814\u7a76\u8fd1\u5e74\u6765\u5df2\u7ecf\u8912\u59d2\u4e86\uff0c\u4f46\u53c8\u6ca1\u5b8c\u5168\u8912\u59d2\uff0c\u56e0\u4e3a Transformers are Graph Neural Networks \uff08\u4e50 ?<\/p>\n<\/blockquote>\n<p>\u200d<\/p>\n<p>\u901a\u8fc7\u8fd9\u4e00\u5efa\u6a21\u7279\u5f81\uff0c\u4f7f\u5f97 Transformer \u867d\u4ece NLP \u51fa\u8eab\uff0c\u4f46\u9010\u6b65\u88ab\u7528\u5230\u4e86\u66f4\u591a\u7684\u9886\u57df\u3002\u6211\u4eec\u6700\u7231\u7684\u56fe\u50cf\u751f\u6210\u4e5f\u4e0d\u4f8b\u5916\uff08\u4e0d\u8fc7\u5728 Stable Diffusion \u4e2d\uff0c\u5176\u6682\u65f6\u53ea\u5728 CLIP \u90e8\u5206\u51fa\u73b0\uff0c\u7528\u4e8e Diffusion \u7684\u672c\u4f53\u53bb\u566a\u7f51\u7edc\u4ecd\u4f7f\u7528\u57fa\u4e8e CNN \u7684 U-Net\uff09<\/p>\n<p>\u200d<\/p>\n<h3>\u9884\u8bad\u7ec3 \u2014\u2014 \u5de5\u4e1a\u5316\uff0c\u4f46\u4e5f\u5927\u4f17\u5316<\/h3>\n<p>\u9884\u8bad\u7ec3\uff0c\u5219\u662f\u6211\u4eec\u5148\u9063\u8ba8\u8bba\u7684\u6700\u540e\u4e00\u6b65\uff0c\u4e5f\u662f\u5b9e\u8d28\u4e0a\u6ca1\u6709\u4efb\u4f55\u7406\u89e3\u96be\u5ea6\u7684\u4e00\u6b65\u3002<\/p>\n<p>\u968f\u7740\u6570\u636e\u91cf\u7684\u6269\u589e\u548c\u8bad\u7ec3\u6210\u672c\u7684\u589e\u5927\uff0c\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u539f\u59cb\u7684\u57fa\u4e8e\u76ee\u6807\u8bad\u7ec3\u7f51\u7edc\u7684\u4efb\u52a1\u88ab\u7ec6\u5316\u4e3a\u4e86 \u901a\u7528\u7684\u9884\u8bad\u7ec3 + \u57fa\u4e8e\u9700\u6c42\u7684\u5fae\u8c03\uff0c\u7279\u522b\u662f\u5728\u8bf8\u591a\u8bed\u8a00\u76f8\u5173\u7684\u6a21\u578b\u4e0a\u3002<\/p>\n<p>\u8fd9\u4f7f\u5f97\u7814\u53d1\u548c\u8bfe\u9898\u8fc1\u79fb\u7684\u6210\u672c\u5927\u5927\u4e0b\u964d\uff0c\u4e5f\u662f\u5f53\u4eca\u6211\u4eec\u80fd\u4f7f\u7528\u4f17\u591a\u8bed\u8a00\u76f8\u5173\u7684\u6a21\u578b\u5c1d\u8bd5\u6709\u8da3\u5b9e\u9a8c\u7684\u57fa\u7840\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u7531\u6b64\uff0c\u6211\u4eec\u4eca\u5929\u503c\u5f97\u8ba8\u8bba\u7684\u8bfe\u9898\u6b63\u5f0f\u5c55\u5f00\u3002<\/p>\n<p>\u200d<\/p>\n<h1>\u7740\u624b \u2014\u2014 \u4ece\u6211\u4eec\u6700\u7231\u7684 Diffusion \u548c GPT<\/h1>\n<p>\u200d<\/p>\n<p>\u5982\u679c\u4e0d\u662f AI \u76f8\u5173\u51fa\u8eab\u7684\u7231\u597d\u8005\uff0c\u5927\u591a\u53ea\u4f1a\u5bf9 Stable Diffusion \u548c ChatGPT \u8fd9\u4e24\u4e2a\u8bcd\u6c47\u76f8\u5bf9\u654f\u611f\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u4e5f\u4e0d\u59a8\u4ece\u8fd9\u4e24\u4e2a\u4ea7\u54c1\u5165\u624b\uff0c\u8ba8\u8bba\u751f\u6210\u7684\u57fa\u672c\u539f\u7406\uff0c\u4ee5\u53ca\u6211\u4eec\u80fd\u4ece\u4e2d\u53d6\u5f97\u7684\u601d\u8def\u3002<\/p>\n<p>\u200d<\/p>\n<h2>Stable Diffusion \u2014\u2014 \u71ce\u539f\u4e4b\u706b<\/h2>\n<p>Stable Diffusion\uff0c\u8fd9\u4e00\u4ea7\u54c1\u53d1\u5e03\u4e8e 2022 \u5e74 8 \u6708\uff0c\u6070\u662f\u4e00\u5e74\u4e4b\u524d\u3002<\/p>\n<blockquote>\n<p><em>Stable Diffusion \u7684\u516c\u5f00\u53d1\u5e03\uff0c\u96c6\u6269\u6563\u6a21\u578b\u4e4b\u5927\u6210\uff0c\u4e5f\u771f\u6b63\u610f\u4e49\u4e0a\u4ece\u5927\u4f17\u5c42\u9762\u5f00\u542f\u4e86 AIGC \u65f6\u4ee3\u3002<\/em><\/p>\n<\/blockquote>\n<p>\u200d<\/p>\n<p>\u6211\u5bf9 Stable Diffusion \u7684\u8ba4\u8bc6\u76f8\u5bf9\u8f83\u665a\uff0c\u4f46\u5728\u8fd9\u4e4b\u524d\uff0c\u5c31\u4f53\u9a8c\u8fc7\u4e86\u4ed6\u7684\u540c\u95e8\u5e08\u5144 Disco Diffusion\u3002<\/p>\n<p>\u90a3\u4e00\u5929\uff0c\u5728\u4e3a\u4e86\u5934\u8111\u4e2d\u7a81\u7136\u8e66\u51fa\u7684\u8bbe\u5b9a\u82e6\u60f3\u53c2\u8003\u65f6\uff0cAI \u7684\u529b\u91cf\u6210\u529f\u52fe\u5f15\u4e86\u6211\u3002\u8ba9\u6211\u767d\u5ad6\u8c37\u6b4c\u7684 Colab \u753b\u4e0b\u4e86\u4eba\u751f\u7b2c\u4e00\u5e45 AI \u4f5c\u56fe\uff1acity, show window, church, skyscraper, Greg rutkowski, Trending on artstation<\/p>\n<p><img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291241156.png\" alt=\"image\" \/><\/p>\n<p>\u6df7\u4e71\u3001\u7834\u788e\u3001\u4f46\u6ee1\u8db3\u4e86\u6211\u7684\u4e00\u5207\u5e7b\u60f3\uff0c\u6211\u7ee7\u7eed\u7545\u60f3\u6709\u671d\u4e00\u65e5\u6211\u80fd\u501f\u7528 AI \u7684\u529b\u91cf\u521b\u9020\u66f4\u52a0\u7a33\u5b9a\u3001\u66f4\u52a0\u6ee1\u8db3\u6211\u9700\u8981\u7684\u5185\u5bb9\uff0c\u53ea\u662f\u4e07\u4e07\u6ca1\u60f3\u5230 Stable Diffusion \u6765\u7684\u90a3\u4e48\u5feb\u3002<\/p>\n<p>\u5f53\u7136\uff0c\u968f\u7740 AI \u7684\u753b\u4f5c\u9010\u6e10 Stable\uff0c\u8fd9\u79cd\u62bd\u8c61\u7684\u918d\u9190\u5473\u53c8\u4eff\u4f5b\u627e\u4e0d\u56de\u6765\u4e86\uff08\u4e5f\u6709\u53ef\u80fd\u662f\u968f\u7740\u89c4\u8303\u5316\uff0c\u50cf\u8fd9\u6837\u901a\u8fc7 Greg rutkowski \u4e00\u4e2a\u753b\u5bb6\u5173\u952e\u8bcd\u7d22\u5f15\u7684\u66b4\u529b\u4fb5\u6743\u884c\u4e3a\u88ab\u53d6\u7f14\u4e86 xd<\/p>\n<blockquote>\n<p>Disco Diffusion \u652f\u6301\u7684\u753b\u5bb6\u98ce\u683c\u6709 2256 \u4e2a\uff0c\u4e0d\u77e5\u5176\u4e2d\u6709\u51e0\u4f4d\u5728 Artstation \u4e0a\u4e3e\u8d77\u4e86 No AI \u7684\u5927\u65d7\u5462<\/p>\n<\/blockquote>\n<p>\u200d<\/p>\n<h3>Diffusion \u5927\u5bb6\u65cf<\/h3>\n<blockquote>\n<p>\u4ece\u6280\u672f\u89d2\u5ea6\u6765\u770b\uff0cAI \u7ed8\u753b\u70ed\u6f6e\u7684\u5174\u8d77\u8981\u5f52\u529f\u4e8e \u6269\u6563\u6a21\u578b \u7684\u5f15\u5165\u3002\u7136\u800c\uff0c\u4f5c\u4e3a\u4e00\u9879\u65e9\u5728 2015 \u5e74\u4e8e\u56fd\u9645\u673a\u5668\u5b66\u4e60\u4f1a\u8bae\uff08ICML\uff09\u4e0a\u63d0\u51fa\u7684\u7406\u8bba\u6784\u60f3\uff0c\u5176\u521d\u73b0\u5e76\u672a\u5f15\u8d77\u5e7f\u6cdb\u7684\u5173\u6ce8\u3002\u76f4\u81f3 2020 \u5e74 6 \u6708\uff0c\u6765\u81ea\u52a0\u5dde\u5927\u5b66\u4f2f\u514b\u5229\u5206\u6821\u7684\u4e00\u7bc7\u9898\u4e3a DDPM \u53bb\u566a\u6269\u6563\u6982\u7387\u6a21\u578b\u7684 NeurIPS \u8bba\u6587 (<a href=\"https:\/\/arxiv.org\/abs\/2006.11239\" target=\"_blank\"  rel=\"nofollow\" >[2006.11239] Denoising Diffusion Probabilistic Models (arxiv.org)<\/a>)\uff0c\u5728\u66f4\u52a0\u5e9e\u5927\u7684\u6570\u636e\u96c6\u4e0a\u5c55\u73b0\u51fa\u4e0e\u5f53\u65f6\u6700\u4f18\u7684\u751f\u6210\u5bf9\u6297\u7f51\u7edc\uff08GAN\uff09\u6a21\u578b\u76f8\u5ab2\u7f8e\u7684\u6027\u80fd\uff0c\u7814\u7a76\u4eba\u5458\u65b9\u624d\u9010\u6e10\u9886\u609f\u5230\u6269\u6563\u6a21\u578b\u5728\u5185\u5bb9\u521b\u4f5c\u9886\u57df\u6240\u8574\u85cf\u7684\u5a01\u529b\u4e0e\u524d\u666f\u3002<\/p>\n<p>\u2014\u2014 <a href=\"https:\/\/mp.weixin.qq.com\/s\/F95l_5YHef61fVP6GoyIhQ\" target=\"_blank\"  rel=\"nofollow\" >\u6269\u6563\u6a21\u578b\u7f16\u5e74\u53f2 - AIGC Since 2020 (qq.com)<\/a><\/p>\n<\/blockquote>\n<p>\u4e0a\u9762\u8fd9\u7bc7\u6587\u7ae0\u5341\u5206\u503c\u5f97\u63a8\u8350\uff0c\u5176\u8ba8\u8bba\u4e86\u4ece Diffusion \u95ee\u4e16\u81f3\u4eca\uff0c\u5176\u5728\u4e0d\u540c\u5b50\u9886\u57df\u4e0b\u7684\u767e\u82b1\u9f50\u653e\u548c\u6df1\u5165\u63a2\u7a76\u3002<\/p>\n<p><img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291237472.png\" alt=\"image\" \/><\/p>\n<p>\u7b80\u5355\u6765\u8bf4\uff0cDiffusion \u7cfb\u6a21\u578b\uff0c\u57fa\u4e8e Diffusion \u7b97\u6cd5\u8fd9\u4e00\u5047\u8bbe\uff0c\u901a\u8fc7\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u642d\u5efa\u548c\u5b66\u4e60\u751f\u6210\u8fc7\u7a0b\uff0c\u968f\u7740\u6280\u672f\u53d1\u5c55\u4e0d\u65ad\u4f18\u5316\u5176\u6548\u7387\u548c\u53ef\u63a7\u6027\uff0c\u5e76\u901a\u8fc7\u5f15\u5165\u4e86\u81ea\u7136\u8bed\u8a00\u63a7\u5236\u6700\u7ec8\u5f62\u6210\u4e00\u4e2a\u53ef\u7528\u4e14\u6613\u7528\u7684\u751f\u6210\u6846\u67b6\u3002<\/p>\n<p>\u800c\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u53ef\u4ee5\u987a\u7740\u5176\u8109\u7edc\uff0c\u9010\u6b65\u7b80\u5355\u9610\u91ca\u8fd9\u4e00\u6a21\u578b\u80cc\u540e\u7684\u539f\u7406\u3002<\/p>\n<p>\u200d<\/p>\n<h3>Diffusion \u7b97\u6cd5 \u2014\u2014 \u9006\u71b5\u79d1\u6280\uff01\uff01\uff1f<\/h3>\n<p>Diffusion \u7b97\u6cd5\uff0c\u4ea6\u79f0\u6269\u6563\u7b97\u6cd5\u3002\u867d\u7136\u6807\u9898\u6709\u70b9\u9006\u5929\uff0c\u4f46\u4ec5\u5c31\u7ed3\u679c\u800c\u8a00\uff0c\u8fd9\u786e\u5b9e\u662f Diffusion \u7b97\u6cd5\u7684\u6838\u5fc3\u601d\u8def \u2014\u2014 \u901a\u8fc7\u7b97\u529b\u548c\u667a\u80fd\u5bf9\u6297\u71b5\u7684\u589e\u957f\uff0c\u4ece\u65e0\u5e8f\u4e4b\u4e2d\u518d\u9020\u6709\u5e8f\uff08\u597d\u4e2d\u4e8c\u554a\uff09<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291237712.png\" alt=\"image\" \/>\u200b<\/p>\n<blockquote>\n<p>\u71b5\uff0c\u88ab\u7528\u4e8e\u8ba1\u7b97\u4e00\u4e2a\u7cfb\u7edf\u4e2d\u7684\u5931\u5e8f\u73b0\u8c61\uff0c\u4e5f\u5c31\u662f\u8ba1\u7b97\u8be5\u7cfb\u7edf\u6df7\u4e71\u7684\u7a0b\u5ea6\u3002<\/p>\n<p>\u2014\u2014 <a href=\"https:\/\/zh.wikipedia.org\/zh-hans\/%E7%86%B5\" target=\"_blank\"  rel=\"nofollow\" >\u71b5 - \u7ef4\u57fa\u767e\u79d1\uff0c\u81ea\u7531\u7684\u767e\u79d1\u5168\u4e66 (wikipedia.org)<\/a><\/p>\n<\/blockquote>\n<p>Diffusion \u7b97\u6cd5\u7684\u7075\u611f\u6765\u81ea\u4e8e\u7269\u7406\u5b66\uff0c\u5176\u5957\u7528\u4e86\u975e\u5e73\u8861\u70ed\u529b\u5b66\u4e2d\u7684\u6269\u6563\u8fc7\u7a0b \u2014\u2014 \u8be5\u8fc7\u7a0b\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u589e\u52a0\u4e86\u7cfb\u7edf\u7684\u71b5\uff08\u6216\u968f\u673a\u6027\uff09\u3002\u6bd4\u5982\u6c14\u4f53\u6700\u7ec8\u4f1a\u901a\u8fc7\u968f\u673a\u8fd0\u52a8\u6269\u6563\u5f00\u6765\uff0c\u5747\u5300\u5730\u5145\u6ee1\u6574\u4e2a\u7a7a\u95f4\u3002<\/p>\n<p>\u540c\u6837\uff0c\u6211\u4eec\u6240\u8ba4\u8bc6\u7684\u56fe\u50cf\uff0c\u5f80\u5f80\u662f\u4e00\u4e2a\u7a33\u5b9a\u800c\u6709\u5e8f\u7684\u6570\u636e\u96c6\u5408\u3002\u800c\u901a\u8fc7\u5bf9\u5176\u968f\u673a\u6dfb\u52a0\u566a\u58f0\uff0c\u5c06\u6700\u7ec8\u8f6c\u53d8\u4e3a\u5747\u5300\u5206\u5e03\u3002Diffusion \u901a\u8fc7\u6dfb\u52a0\u566a\u97f3\u6162\u6162\u5730\u7834\u574f\u6570\u636e\u7684\u7ed3\u6784\uff0c\u76f4\u5230\u9664\u4e86\u566a\u97f3\u4ec0\u4e48\u90fd\u4e0d\u5269\u3002<\/p>\n<p>\uff08\u5982\u679c\u8bfb\u8005\u719f\u6089\u6444\u5f71\uff0c\u53ef\u4ee5\u8bd5\u60f3\u5728\u6781\u5f31\u5149\u73af\u5883\u4e2d\u628a ISO \u9010\u6e10\u62c9\u9ad8\uff0c\u62c9\u5230\u7206\u8868\uff0c\u6700\u7ec8 CMOS \u4e0a\u91c7\u6837\u5230\u7684\u5c31\u662f\u4f20\u611f\u5668\u548c\u673a\u5668\u81ea\u884c\u4ea7\u751f\u7684\u70ed\u566a\u58f0\uff09<\/p>\n<p>\u200d<\/p>\n<p>\u4e0a\u8ff0\u6211\u4eec\u8ba8\u8bba\u7684\u662f Diffusion \u7b97\u6cd5\u7684\u524d\u5411\u8fc7\u7a0b\uff0c\u4e5f\u5c31\u662f\u771f\u6b63\u7684\u201c\u6269\u6563\u201d\u3002<\/p>\n<p>\u4f46 Diffusion \u7b97\u6cd5\u4e2d\u7684\u7cbe\u9ad3\u5b9e\u9645\u5728\u4e8e\u6269\u6563\u7684\u9006\u8fc7\u7a0b\uff0c\u4ea6\u5373 DeDiffusion\uff08\u4e50\uff09<\/p>\n<p>\uff08\u6bd4\u8f83\u6b63\u786e\u7684\u79f0\u547c\u662f Denoising\uff0c\u964d\u566a\uff09<\/p>\n<p>\u5047\u8bbe\u52a0\u566a\u8fc7\u7a0b\uff0c\u4f1a\u8ba9\u4e00\u5207\u9010\u6e10\u8d70\u5411\u65e0\u5e8f\u3002\u4f46\u53ea\u8981\u4e0d\u662f\u5b8c\u5168\u65e0\u5e8f\uff0c\u6211\u4eec\u4f9d\u65e7\u6709\u673a\u4f1a\u901a\u8fc7\u5148\u9a8c\u77e5\u8bc6\u548c\u505a\u529f\uff0c\u8ba9\u5176\u6062\u590d\u5176\u672c\u8be5\u6240\u5904\u7684\u72b6\u6001\u3002<\/p>\n<blockquote>\n<h4>\u5947\u602a\u7684\u5173\u8054\u8bfe\u9898 \u2014\u2014 \u90a3\u53ea\u5c0f\u5996\u7cbe<\/h4>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291238600.png\" alt=\"image\" \/>\u200b<\/p>\n<p>\u4e0a\u56fe\u6240\u793a\u4e3a\u7269\u7406\u5b66\u4e2d\u7684\u4e00\u4e2a\u7ecf\u5178 <del>\u795e\u517d\uff08\u5212\u6389\uff09<\/del> \u5047\u60f3 \u2014\u2014 <strong>\u9ea6\u514b\u65af\u97e6\u5996<\/strong>\uff08Maxwell's demon\uff09\uff0c\u4e8e 1871 \u5e74\u7531\u82f1\u56fd\u7269\u7406\u5b66\u5bb6 James Maxwell \u4e3a\u4e86\u8bf4\u660e\u8fdd\u53cd\u70ed\u529b\u5b66\u7b2c\u4e8c\u5b9a\u5f8b\u7684\u53ef\u80fd\u6027\u800c\u8bbe\u60f3\u7684\u3002<\/p>\n<blockquote>\n<p>\u9ea6\u514b\u65af\u97e6\u610f\u8bc6\u5230\u81ea\u7136\u754c\u5b58\u5728\u7740\u4e0e\u71b5\u589e\u52a0\u76f8\u62ee\u6297\u7684\u80fd\u91cf\u63a7\u5236\u673a\u5236\u3002\u4f46\u4ed6\u65e0\u6cd5\u6e05\u6670\u5730\u8bf4\u660e\u8fd9\u79cd\u673a\u5236\u3002\u4ed6\u53ea\u80fd\u8bd9\u8c10\u5730\u5047\u5b9a\u4e00\u79cd\u201c\u5996\u201d\uff0c\u80fd\u591f\u6309\u7167\u67d0\u79cd\u79e9\u5e8f\u548c\u89c4\u5219\u628a\u4f5c\u968f\u673a\u70ed\u8fd0\u52a8\u7684\u5fae\u7c92\u5206\u914d\u5230\u4e00\u5b9a\u7684\u76f8\u683c\u91cc\u3002\u9ea6\u514b\u65af\u97e6\u5996\u662f<a href=\"https:\/\/zh.wikipedia.org\/wiki\/%E8%80%97%E6%95%A3%E7%BB%93%E6%9E%84\" title=\"\u8017\u6563\u7ed3\u6784\" target=\"_blank\"  rel=\"nofollow\" >\u8017\u6563\u7ed3\u6784<\/a>\u7684\u4e00\u4e2a\u96cf\u5f62\u3002<\/p>\n<p>\u53ef\u4ee5\u7b80\u5355\u5730\u8fd9\u6837\u63cf\u8ff0\uff0c\u4e00\u4e2a\u7edd\u70ed\u5bb9\u5668\u88ab\u5206\u6210\u76f8\u7b49\u7684\u4e24\u683c\uff0c\u4e2d\u95f4\u662f\u7531\u201c\u5996\u201d\u63a7\u5236\u7684\u4e00\u6247\u5c0f\u201c\u95e8\u201d\uff0c\u5bb9\u5668\u4e2d\u7684\u7a7a\u6c14\u5206\u5b50\u4f5c\u65e0\u89c4\u5219\u70ed\u8fd0\u52a8\u65f6\u4f1a\u5411\u95e8\u4e0a\u649e\u51fb\uff0c\u201c\u95e8\u201d\u53ef\u4ee5\u9009\u62e9\u6027\u5730\u5c06\u901f\u5ea6\u8f83\u5feb\u7684\u5206\u5b50\u653e\u5165\u4e00\u683c\uff0c\u800c\u8f83\u6162\u7684\u5206\u5b50\u653e\u5165\u53e6\u4e00\u683c\uff0c\u8fd9\u6837\uff0c\u5176\u4e2d\u7684\u4e00\u683c\u5c31\u4f1a\u6bd4\u53e6\u5916\u4e00\u683c\u6e29\u5ea6\u9ad8\uff0c\u53ef\u4ee5\u5229\u7528\u6b64\u6e29\u5dee\uff0c\u9a71\u52a8\u70ed\u673a\u505a\u529f\u3002<\/p>\n<p>\u2014\u2014 <a href=\"https:\/\/zh.wikipedia.org\/zh-hans\/%E9%BA%A6%E5%85%8B%E6%96%AF%E9%9F%A6%E5%A6%96\" target=\"_blank\"  rel=\"nofollow\" >\u9ea6\u514b\u65af\u97e6\u5996 - \u7ef4\u57fa\u767e\u79d1\uff0c\u81ea\u7531\u7684\u767e\u79d1\u5168\u4e66 (wikipedia.org)<\/a><\/p>\n<\/blockquote>\n<p>\u9ea6\u514b\u65af\u97e6\u5996\u8fd9\u4e00\u5047\u60f3\u88ab\u8bc1\u4f2a\uff0c\u56e0\u4e3a\u8fd9\u4e00\u673a\u7075\u7684\u5c0f\u5996\u63a7\u5236\u4e00\u4e2a\u5206\u5b50\u6240\u6d88\u8017\u7684\u80fd\u91cf(\u667a\u80fd\u4e0e\u505a\u529f)\uff0c\u5fc5\u7136\u8981\u9ad8\u4e8e\u5176\u6240\u5e26\u6765\u7684\u71b5\u51cf\uff0c\u56e0\u800c\u5bf9\u4e8e\u4e00\u4e2a\u5c01\u95ed\u7cfb\u7edf\u800c\u8a00\uff0c\u5176\u71b5\u4f9d\u65e7\u4e0d\u53ef\u907f\u514d\u5730\u589e\u52a0\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u4f46\u5bf9\u4e8e\u8ba1\u7b97\u673a\uff0c\u81f3\u5c11\u662f\u751f\u6210\u56fe\u50cf\u8fd9\u4e00\u95ee\u9898\uff0c\u6211\u4eec\u6beb\u4e0d\u72b9\u8c6b\u5730\u5f15\u5165\u4e86 Diffusion \u8fd9\u53ea\u7f8e\u4e3d\u7684\u5996\u7cbe\u3002<\/p>\n<\/blockquote>\n<p>\u200d<\/p>\n<p>\u57fa\u4e8e\u9006\u71b5\u79d1\u6280(bushi)\uff0c\u4f7f\u7528 Diffusion \u8fdb\u884c\u56fe\u50cf\u751f\u6210\u7684\u8def\u5f84\u88ab\u59d1\u4e14\u6253\u901a\u4e86\u3002<\/p>\n<p><img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291238834.png\" alt=\"image\" \/><\/p>\n<p>\u57fa\u4e8e\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u7684\u5b66\u4e60\uff0c\u6211\u4eec\u8ba9\u6a21\u578b\u5728\u6269\u6563\u7684\u6bcf\u4e2a\u65f6\u95f4\u6b65  <span class=\"language-math\">\\mathbf x_{t}<\/span> \u4e0a\uff0c\u9884\u6d4b\u4e0a\u4e00\u65f6\u95f4\u6b65 <span class=\"language-math\">\\mathbf{x}_{t-1}<\/span> \u65f6\u753b\u9762\u7684\u72b6\u6001\uff0c\u5e76\u901a\u8fc7\u8fed\u4ee3\uff0c\u4ece\u96f6\u5f00\u59cb\u4ece\u566a\u58f0\u7684\u6df7\u6c8c\u5206\u5e03\u4e2d\uff0c\u201c\u9884\u6d4b\u201d\u51fa\u7406\u60f3\u7684\u56fe\u50cf\u3002<\/p>\n<p>\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u9690\u53bb\u4e86\u901a\u8fc7 U-Net \u6784\u5efa\u9884\u6d4b\u7f51\u7edc\u7684\u7ec6\u8282\uff0c\u4ee5\u53ca\u6784\u6210\u6846\u67b6\u7684\u8bf8\u591a Trick\u3002<\/p>\n<p>\u81f3\u4e8e\u5565\u662f\u201c\u7406\u60f3\u201d\uff0c\u6211\u4eec\u53ef\u4ee5\u7559\u5230\u63a5\u4e0b\u6765\u8fd9\u4e00\u5c0f\u8282\u3002<\/p>\n<h3>\u53d7\u63a7\u751f\u6210 \u2014\u2014 S \u5c5e\u6027\u5927\u7206\u53d1\uff01<\/h3>\n<p>\u5982\u679c\u8bf4 Diffusion \u7b97\u6cd5\u672c\u8eab\u53ea\u662f\u5b66\u672f\u754c\u548c\u6280\u672f\u5708\u7684\u4e00\u5934\u70ed\uff0c\u90a3\u4e48\u201c\u53d7\u63a7\u201d\uff0c\u6216\u8005\u8bf4\u53d7\u8bed\u8a00\u6240\u63a7\uff0c\u8fd9\u4e00\u8981\u7d20\u624d\u662f\u6b63\u5728\u5c06 AI \u7ed8\u753b\u63a8\u5411\u5dc5\u5cf0\u7684\u7f6a\u9b41\u7978\u9996\uff0c\u4e5f\u662f\u8ba9 AI \u771f\u6b63\u5b9e\u7528\u5316\u7684\u5171\u540c\u9053\u8def\u3002<\/p>\n<p>\u4e0d\u96be\u731c\uff0c\u80cc\u540e\u7684\u63a8\u624b\u6b63\u662f\u6211\u4eec\u7684 OpenAI \u5927\u7239\uff0c\u90a3\u4e2a\u65f6\u5019\uff0c\u4ed6\u8fd8\u5f88 Open\uff08\u4e50<\/p>\n<p>\u800c\u8fd9\u5c31\u8981\u8bba\u53ca\u751f\u6210\u6280\u672f\u53d1\u5c55\u7684\u53e6\u4e00\u6761\u7ebf\u8def\u4e86\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u5c31\u5728\u4eba\u4eec\u56f4\u7ed5\u7740\u4e00\u7cfb\u5217\u751f\u6210\u6280\u672f\u8f7d\u6b4c\u8f7d\u821e\u65f6\uff0cOpenAI \u62b1\u7740\u4ed6\u4eec\u631a\u7231\u7684\u751f\u6210\u5f0f\u8bed\u8a00\u6a21\u578b\u6108\u8d70\u6108\u8fdc\u3002GPT3 \u672c\u5c0a\u7684\u63a8\u51fa\u867d\u94fa\u57ab\u4e86\u540e\u7eed\u9707\u60ca\u4e16\u754c\u7684 ChatGPT \u548c GPT4\uff0c\u4f46\u5176\u5374\u5e76\u6ca1\u6709\u5e26\u6765\u9884\u6599\u4e2d\u7684\u53cd\u54cd\u3002175B \u7684\u5de8\u5927\u53c2\u6570\u91cf\u548c\u4e0d\u591f\u7406\u60f3\u7684\u63a8\u7406\u6548\u679c\u5e76\u6ca1\u80fd\u8ba9\u4ed6\u6380\u8d77\u8fc7\u591a\u7684\u6ce2\u6f9c\u3002<\/p>\n<p>\u62a4\u728a\u7684 OpenAI \u4f9d\u65e7\u6ca1\u6709\u653e\u5f03\u529b\u5927\u7816\u98de\u7684\u9053\u8def\uff0c\u5e76\u5c06\u8fd9\u4e00\u5c1d\u8bd5\u5e94\u7528\u5728\u4e86\u4eba\u4eec\u672a\u66fe\u8bbe\u60f3\u7684\u9886\u57df \u2014\u2014 2021 \u5e74 1 \u6708 5 \u65e5\uff0cDALL\u00b7E \u6a21\u578b\u95ee\u4e16\u4e86\u3002<\/p>\n<blockquote>\n<p>DALL-E \u901a\u8fc7 120 \u4ebf\u53c2\u6570\u7248\u672c\u7684 GPT-3 Transformer \u6a21\u578b\u6765\u7406\u89e3\u81ea\u7136\u8bed\u8a00\u8f93\u5165\uff08\u4f8b\u5982\u201c\u4e94\u8fb9\u5f62\u5f62\u72b6\u7684\u7eff\u8272\u76ae\u9769\u94b1\u5305\u201d\u6216\u201c\u4e00\u53ea\u60b2\u4f24\u6c34\u8c5a\u7684\u7b49\u8ddd\u89c6\u56fe\u201d\uff09\u5e76\u751f\u6210\u76f8\u5e94\u7684\u56fe\u7247\u3002\u5b83\u65e2\u53ef\u4ee5\u751f\u6210\u73b0\u5b9e\u7684\u5bf9\u8c61\uff08\u4f8b\u5982\u201c\u5e26\u6709\u84dd\u8272\u8349\u8393\u56fe\u50cf\u7684\u5f69\u8272\u73bb\u7483\u7a97\u201d\uff09\uff0c\u4e5f\u80fd\u591f\u751f\u6210\u73b0\u5b9e\u4e2d\u4e0d\u5b58\u5728\u7684\u5bf9\u8c61\uff08\u4f8b\u5982\u201c\u5177\u6709\u8c6a\u732a\u7eb9\u7406\u7684\u7acb\u65b9\u4f53\u201d\uff09\u3002\u5b83\u7684\u540d\u5b57\u662f 2008 \u5e74\u52a8\u753b\u7535\u5f71 WALL-E &quot;\u74e6\u529b (\u7535\u5f71)&quot;\u548c 20 \u4e16\u7eaa\u897f\u73ed\u7259\u52a0\u6cf0\u7f57\u5c3c\u4e9a\u753b\u5bb6\u8428\u5c14\u74e6\u591a\u00b7\u8fbe\u5229\uff08Salvador Dal\u00ed\uff09\u4e4b\u6df7\u6210\u8bcd\u3002<\/p>\n<p>\u81ea 2000 \u5e74\u4ee3\u4ee5\u6765\uff0c\u5df2\u6709\u5176\u4ed6\u8bb8\u591a\u795e\u7ecf\u7f51\u7edc\u6709\u751f\u6210\u903c\u771f\u56fe\u50cf\u7684\u80fd\u529b\u3002\u800c DALL-E \u7684\u7279\u70b9\u5728\u4e8e\u5b83\u80fd\u591f\u901a\u8fc7\u7eaf\u6587\u672c\u63cf\u8ff0\u751f\u6210\u8fd9\u6837\u903c\u771f\u7684\u56fe\u50cf\u3002<\/p>\n<p>\u2014\u2014 <a href=\"https:\/\/zh.wikipedia.org\/zh-cn\/DALL-E\" target=\"_blank\"  rel=\"nofollow\" >DALL-E - \u7ef4\u57fa\u767e\u79d1\uff0c\u81ea\u7531\u7684\u767e\u79d1\u5168\u4e66 (wikipedia.org)<\/a><\/p>\n<\/blockquote>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291238623.png\" alt=\"image\" \/>\u200b<\/p>\n<p>\u901a\u5e38\uff0c\u6211\u4eec\u8ba4\u4e3a\u8fd9\u662f\u8bed\u8a00\u6a21\u578b\u8de8\u5165\u591a\u6a21\u6001\u7684\u9996\u6b21\u5c1d\u8bd5\uff0c\u5e76\u5960\u57fa\u4e86\u540e\u7eed GPT-4 \u7684\u8de8\u6a21\u6001\u5b9e\u8df5\uff0c\u4f46\u7531\u4e8e\u76f8\u5173\u6a21\u578b\u672a\u80fd\u5f00\u6e90\u6240\u4ee5\u6211\u4eec\u96be\u4ee5\u7a76\u7adf\u5176\u7ec6\u8282\u3002<\/p>\n<p>\u4f46\u4e0e\u4ed6\u4f34\u751f\u7684\uff0c\u88ab\u6b63\u5f0f\u5f00\u6e90\u7684\u65b0\u6280\u672f \u2014\u2014 CLIP(Contrastive Language-Image Pre-training\uff0c\u56fe\u6587\u5bf9\u6bd4\u9884\u8bad\u7ec3)\uff0c\u5176\u901a\u8fc7\u8ba9\u6a21\u578b\u7406\u89e3\u56fe\u50cf\u4e0e\u8bed\u8a00\u4e4b\u95f4\u7684\u5173\u8054\uff0c\u771f\u6b63\u5c06\u6df1\u5ea6\u5b66\u4e60\u63a8\u5411\u4e86\u8de8\u6a21\u6001\u7684\u65f6\u4ee3\uff0c\u4e5f\u8ba9\u6587\u672c\u63a7\u5236\u751f\u6210\u6210\u4e3a\u53ef\u80fd\u3002<\/p>\n<blockquote>\n<p>\u53e6\uff1a\u540e\u7eed\u6240\u6709\u6d89\u53ca\u8de8\u6a21\u6001\u5bf9\u6bd4\u9884\u8bad\u7ec3\u90fd\u88ab\u79f0\u4e3a CLIP\uff0c\u5373\u4f7f\u6a21\u6001\u4e0d\u662f Image\uff0c\u8db3\u4ee5\u8bc1\u660e\u5f71\u54cd\u529b hhh<\/p>\n<\/blockquote>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291238571.png\" alt=\"image\" \/>\u200b<\/p>\n<p>\u901a\u8fc7\u5bf9\u6bd4\uff0cCLIP \u6784\u5efa\u4e86\u6587\u672c\u5411\u91cf\u5230\u56fe\u50cf\u4e4b\u95f4\u7684\u5173\u8054\uff0c\u8fdb\u800c\uff0c\u6211\u4eec\u6709\u5e0c\u671b\u6587\u672c\u53bb\u5047\u8bbe\u4e00\u4e2a\u56fe\u50cf\u5b58\u5728\u7684\u7279\u5f81\u3002<\/p>\n<p>\u800c\u8fd9\uff0c\u6b63\u662f\u6587\u672c\u53d7\u63a7\u751f\u6210\u7684\u57fa\u77f3\uff0c\u4e5f\u662f\u63ed\u5f00 AIGC \u65f6\u4ee3\u5e8f\u5e55\u7684\u5960\u57fa\u5de5\u4f5c\u3002<\/p>\n<p>\u200d<\/p>\n<h3>AI \u7ed8\u56fe \u2014\u2014 \u8bf7\u4f60\u6267\u201c\u7b14\u201d<\/h3>\n<p>\u57fa\u4e8e\u4e0a\u8ff0\u5de5\u4f5c\uff0c\u6211\u4eec\u5982\u4eca\u6240\u8ba4\u77e5\u7684 AI \u7ed8\u56fe\u771f\u6b63\u6210\u4e3a\u4e86\u53ef\u80fd\uff0c\u518d\u5f80\u540e\uff0c\u5219\u5c31\u662f\u6211\u4eec\u8033\u719f\u80fd\u8be6\u7684 Stable Diffusion \u7b49\u4e00\u7cfb\u5217\u5de5\u4f5c\u4e86\u3002<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291238815.png\" alt=\"image\" \/>\u200b<\/p>\n<p>\u901a\u8fc7\u4e00\u4e2a\u9006\u5411\u7684\u53bb\u566a\u8fc7\u7a0b\uff0c\u6211\u4eec\u80fd\u901a\u8fc7 \u8bed\u4e49\u3001\u6587\u672c\u3001\u56fe\u50cf\u7b49\u591a\u79cd\u8868\u793a\u5bf9\u6700\u7ec8\u7684\u751f\u6210\u7ed3\u679c\u8fdb\u884c\u63a7\u5236\uff0c\u901a\u8fc7\u4e00\u6b21\u6b21\u8fed\u4ee3\uff0c\u6211\u4eec\u4ece\u96f6\u5f00\u59cb\uff0c\u4ece\u65e0\u5230\u6709\uff0c\u7ed8\u5236\u4e86\u7cbe\u7f8e\u3001\u51dd\u7ed3\u7740\u4eba\u7c7b\u827a\u672f\u4e4b\u5149\u7684\u56fe\u6837\u3002\u7531\u6b64\u89c1\u8bc1\u4eba\u7c7b\u667a\u80fd\u4e0e\u4eba\u5de5\u667a\u80fd\u5e76\u80a9\u7684\u4f1f\u529b\u3002<\/p>\n<p>\u518d\u5f80\u540e\uff0c\u5c31\u662f Lora\u3001ControlNet \u8fd9\u4e9b\u53e6\u6211\u4eec\u8033\u719f\u80fd\u8be6\u7684\u5de5\u4f5c\u4e86\uff0c\u4f46\u7531\u4e8e\u5176\u4e0e\u4eca\u5929\u7684\u4e3b\u9898\u5173\u7cfb\u4e0d\u5927\uff0c\u5c31\u4e0d\u5177\u4f53\u63d0\u53ca\u54af\u3002<\/p>\n<p>\u200d<\/p>\n<h2>GPT \u2014\u2014 \u901a\u7528\u4eba\u5de5\u667a\u80fd\u7684\u706b\u82b1<\/h2>\n<p>GPT\uff0c\u5219\u662f\u751f\u6210\u578b\u4eba\u5de5\u667a\u80fd\u7684\u53e6\u4e00\u6761\u9053\u8def\uff0cOpenAI \u628a Generative \u7684\u4f7f\u547d\u523b\u5728\u4e86\u5b83\u7684\u540d\u5b57\u4e0a\u3002<\/p>\n<p>\u540c\u6837\u7684\uff0cGPT \u7684\u53d1\u5c55\u4e5f\u5e76\u975e\u90a3\u4e48\u4e00\u5e06\u98ce\u987a\uff0c\u5b83\u66f4\u50cf\u4e00\u4e2a\u5bd2\u7a97\u82e6\u8bfb\u5341\u5e74\u7684\u5b66\u5b50\uff0c\u5728\u5927\u5bb6\u90fd\u4ee5\u4e3a\u4ed6\u5df2\u7ecf\u88ab\u6e90\u6e90\u4e0d\u65ad\u53ef\u7b11\u7684\u6559\u80b2\u627c\u6740\u4e4b\u540e\uff0c\u4e00\u9e23\u60ca\u4eba\u3002<\/p>\n<p>\u200d<\/p>\n<h3>GPT \u4e0e BERT \u2014\u2014 \u4e5d\u5b50\u593a\u5ae1<\/h3>\n<p>\u5728 ChatGPT \u4e00\u591c\u7206\u7ea2\uff0cGPT \u6210\u4e3a\u5b66\u672f\u754c\u548c\u5de5\u4e1a\u754c\u5171\u540c\u7684\u5ba0\u513f\u4e4b\u524d\uff0c\u5176\u4e0e BERT \u4e4b\u95f4\u8303\u5f0f\u7684\u62c9\u626f\u662f\u4e00\u4e2a\u96be\u4ee5\u907f\u8fc7\u7684\u6709\u8da3\u8bfe\u9898\u3002\uff08\u5f53\u7136\uff0c\u53c2\u4e0e\u62c9\u626f\u7684\u4e5f\u4e0d\u6b62\u8fd9\u4e24\u4f4d<\/p>\n<p>\u200d<\/p>\n<p>\u5728 Transformer \u67b6\u6784\u771f\u6b63\u4e00\u7edf\u81ea\u7136\u8bed\u8a00\u5929\u4e0b\u4e4b\u540e(\u6ca1\u6709\u6545\u610f\u5ffd\u7565 RWKV \u7684\u610f\u601d)\uff0c\u9488\u5bf9 Transformer \u67b6\u6784\u9010\u6e10\u51fa\u73b0\u4e86\u4e00\u7cfb\u5217\u9ad8\u7ea7\u5e94\u7528<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291238601.png\" alt=\"image\" \/>\u200b<\/p>\n<p>\u5982\u56fe\uff0c\u57fa\u4e8e\u4e0d\u540c\u6a21\u5757\u7684\u6392\u5217\u7ec4\u5408\uff0c\u5219\u4f1a\u6784\u5efa\u51fa\u5404\u4e0d\u76f8\u540c\u7684\u5927\u8bed\u8a00\u6a21\u578b\uff08\u4e4b\u524d\u542c\u8bfb\u4e66\u4f1a\u770b\u5230\u7684\u56fe\uff0c\u5bf9\u540e\u9762\u51e0\u4e2a\u6a21\u5757\u7684\u6a21\u578b\u6280\u672f\u7ec6\u8282\u57fa\u672c\u5c31\u4e00\u65e0\u6240\u77e5\u4e86\uff09<\/p>\n<p>\u200d<\/p>\n<p>\u4f5c\u4e3a\u5176\u4e2d\u7684\u7b2c\u4e00\u4e2a\u6a21\u5757\uff0c\u5373\u67b6\u6784\uff0c\u5c31\u662f\u6211\u4eec\u5728\u8fd9\u4e00\u8282\u8ba8\u8bba\u7684\u6838\u5fc3\uff1a<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291238226.png\" alt=\"image\" \/>\u200b<\/p>\n<p>\u56fe\u6e90\uff1a<a href=\"https:\/\/zhuanlan.zhihu.com\/p\/625714067\" target=\"_blank\"  rel=\"nofollow\" >\u4e00\u6587\u8bfb\u61c2 GPT \u5bb6\u65cf\u548c BERT \u7684\u5e95\u5c42\u533a\u522b\u2014\u2014\u81ea\u56de\u5f52\u548c\u81ea\u7f16\u7801\u8bed\u8a00\u6a21\u578b\u8be6\u89e3 - \u77e5\u4e4e (zhihu.com)<\/a><\/p>\n<p>\u5982\u56fe\u6240\u793a\uff0c\u968f\u7740\u5bf9 Transformer \u5176 Encoder \u548c Decoder \u67b6\u6784\u7684\u8ba4\u77e5\uff0c\u4ee5\u53ca\u5bf9\u4e0d\u540c\u5177\u4f53\u4efb\u52a1\u7684\u7406\u89e3\uff0c\u5206\u5316\u51fa\u4e86\u8bf8\u591a\u4e0d\u540c\u7684\u8bed\u8a00\u6a21\u578b\u67b6\u6784\u3002\u4eca\u5929\u4e0b\u4e09\u5206\uff0c\u76ca\u5dde\u75b2\u655d\uff0c\u6b64\u8bda\u5371\u6025\u5b58\u4ea1\u4e4b\u79cb ?<\/p>\n<p>\u7b80\u5355\u6765\u8bf4\uff0c\u8fd9\u4e09\u4e2a\u5b66\u6d3e\u5206\u522b\u662f\uff1a<\/p>\n<ul>\n<li>AutoRegressive \u81ea\u56de\u5f52\u6a21\u578b\uff1a\u4ee5 GPT \u4e3a\u4ee3\u8868\uff0c\u8868\u73b0\u4e3a\u4e13\u6ce8\u4f7f\u7528 Decoder \u6a21\u5757\uff0c\u4e3b\u8981\u9002\u7528\u4e8e\u751f\u6210\u4efb\u52a1\uff0c\u5e76\u5728\u5927\u53c2\u6570\u548c\u5927\u89c4\u6a21\u9884\u8bad\u7ec3\u4e0b\u8868\u73b0\u51fa\u4e86\u6781\u5f3a\u7684\u5c11\u6837\u672c\u548c\u96f6\u6837\u672c\u80fd\u529b\u3002<\/li>\n<li>AutoEncoder \u81ea\u7f16\u7801\u6a21\u578b\uff1a\u4ee5 BERT \u4e3a\u4ee3\u8868\uff0c\u8868\u73b0\u4e3a\u57fa\u4e8e\u7279\u5b9a\u76ee\u6807\u8bad\u7ec3\u53cc\u5411\u611f\u77e5\u7684\u6587\u672c Encoder\uff0c\u5e76\u8f93\u51fa\u4e00\u7cfb\u5217\u53ef\u7528\u4e8e\u6587\u672c\u7406\u89e3\u7684\u5411\u91cf\uff0c\u88ab\u5e7f\u6cdb\u7528\u4e8e\u5404\u5f0f\u5de5\u4e1a\u754c\u4e2d\u3002<\/li>\n<li>Encoder-Decoder Seq2Seq \u6a21\u578b\uff1a\u4ee5 T5 \u4e3a\u4ee3\u8868\uff0c\u540c\u65f6\u4f7f\u7528\u4e86 Encoder \u548c Decoder \u7684\u67b6\u6784\uff0c\u540c\u6837\u4f7f\u7528\u53cc\u5411\u6ce8\u610f\u529b\u673a\u5236\uff0c\u4f46\u80fd\u9002\u7528\u4e8e\u66f4\u591a\u7684\u751f\u6210\u7c7b\u578b\u4efb\u52a1\u3002<\/li>\n<li>\u65b0\u73a9\u5bb6 GLM (General Language Model)\uff1a\u7efc\u5408\u4e86\u4e0a\u8ff0\u4e09\u7ec4\u6a21\u578b\u7684\u8bad\u7ec3\u601d\u8def\uff0c\u5e76\u610f\u56fe\u901a\u8fc7\u9884\u8bad\u7ec3\u540c\u65f6\u5b9e\u73b0\u591a\u79cd\u76ee\u6807\u3002\u4f46\u8fd9\u4e00\u67b6\u6784\u7684\u6210\u679c\u6682\u65f6\u4ec5\u6709 ChatGLM \u7cfb\u5217\uff0c\u867d\u6548\u679c\u4e0d\u9519\uff0c\u4f46\u6682\u672a\u88ab\u5168\u9762\u8ba4\u53ef\u3002<\/li>\n<\/ul>\n<p>\u4f17\u6240\u5468\u77e5\uff0c\u4e09\u5e7b\u795e\u6709\u56db\u4e2a\uff0c\u4f46\u6211\u4eec\u8ba8\u8bba\u7684\u6838\u5fc3\u5609\u5bbe\u4f9d\u65e7\u662f GPT \u548c BERT \u4e24\u4f4d\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/jalammar.github.io\/images\/gpt3\/03-gpt3-training-step-back-prop.gif\" alt=\"\" title=\"GPT\u7684\u9884\u8bad\u7ec3\u65b9\u6cd5\" \/>\u200b<\/p>\n<p>\u5176\u4e8c\u8005\u7684\u6838\u5fc3\u533a\u522b\u5728\u4e8e\uff0cGPT \u662f\u4e13\u4e3a\u751f\u6210\u6240\u751f\u7684\u6a21\u578b\u67b6\u6784\uff0c\u4ed6\u80fd\u505a\u7684\u4ec5\u6709\u6839\u636e\u4e0a\u6587\u5185\u5bb9\u548c\u5e9e\u5927\u7684\u9884\u8bad\u7ec3\u77e5\u8bc6\u8fdb\u884c\u7b80\u5355\u7684\u9884\u6d4b\uff0c\u4ece\u5fae\u5999\u7684\u5355\u5b57\u63a5\u9f99\u4e2d\u6d8c\u73b0\u667a\u80fd\u3002\u6709\u90a3\u4e48\u4e00\u4e1d\u50cf\u4eba\u7c7b\u7684\u7b28\u62d9\uff0c\u5bf9\u5427\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291238477.png\" alt=\"image\" title=\"BERT\u7684\u9884\u8bad\u7ec3\u65b9\u6cd5\" \/>\u200b<\/p>\n<p>\u76f8\u6bd4\u4e4b\u4e0b\uff0cBERT \u7684\u5904\u7406\u65b9\u5f0f\u4f1a\u663e\u5f97\u66f4\u9ad8\u660e\u4e9b\uff0c\u5b83\u901a\u8fc7\u9009\u8bcd\u586b\u7a7a\u8fdb\u884c\u9884\u8bad\u7ec3\uff0c\u5e76\u5929\u751f\u88ab\u7ed9\u4e88\u4e86\u660e\u786e\u7684\u76ee\u6807\uff0c\u8fd9\u4f7f\u5f97\u5176\u6613\u4e8e\u8fdb\u884c\u8bad\u7ec3\uff0c\u5e76\u80fd\u88ab\u5f88\u597d\u5730\u901a\u8fc7\u4e00\u7cfb\u5217\u64cd\u4f5c\u5d4c\u5165\u5230\u8bf8\u591a\u4e0b\u6e38\u4efb\u52a1\u4e2d\uff08\u4e0a\u56fe\u4e3a\u4e00\u4e2a\u7b80\u5355\u7684\u60c5\u611f\u5206\u7c7b\u4efb\u52a1\uff09\u3002\u8fd9\u4e5f\u4f7f\u5f97 BERT \u6210\u4e3a\u4e86\u8bf8\u591a\u8bfe\u9898\u7684\u638c\u4e0a\u660e\u73e0\u3002<\/p>\n<p>\u4f46\u9664\u4e86\u575a\u5b9a\u7684 OpenAI\uff0c\u5927\u5bb6\u90fd\u6ca1\u60f3\u5230\u8fd9\u79cd\u5bf9\u57fa\u7840\u77e5\u8bc6\u4e0d\u65ad\u79ef\u7d2f\u7684\u7b28\u62d9\uff0c\u5728\u89c4\u6a21\u5316\u548c\u66f4\u7cbe\u7ec6\u7684\u8c03\u6559\u540e\uff0c\u6d8c\u73b0\u51fa\u4e86\u60ca\u4eba\u7684\u667a\u80fd\u7a7a\u95f4\uff0c\u800c\u770b\u4f3c\u65e9\u6167\u7684 BERT \u5374\u6b62\u6b65\u4e8e\u7b80\u5355\u7684\u4efb\u52a1\u548c\u7406\u89e3\u3002<\/p>\n<blockquote>\n<p>\u5f53\u7136\uff0c\u8fd9\u53ea\u662f\u8bf4\u660e BERT \u5e76\u4e0d\u9002\u7528\u4e8e\u6784\u5efa\u901a\u7528\u4eba\u5de5\u667a\u80fd\uff0c\u4f46\u5176\u4f9d\u65e7\u5728\u5f88\u591a\u9886\u57df\u5927\u653e\u5f02\u5f69\u3002<\/p>\n<p>\u8bf8\u5982\u6211\u4eec\u4e0a\u6587\u63d0\u5230\u7684 CLIP\uff0c\u5176\u7f16\u7801\u6587\u672c\u548c\u56fe\u50cf\u7279\u5f81\u7684\u6b65\u9aa4\uff0c\u5c31\u662f\u57fa\u4e8e BERT\u3002\u540c\u65f6\uff0c\u5bf9\u56e0 ChatGPT \u51fa\u73b0\u800c\u6380\u8d77\u70ed\u5ea6\u7684\u5411\u91cf\u6570\u636e\u5e93\u9886\u57df\uff0c\u5c06\u6587\u672c\u5411\u91cf\u5316\u8fd9\u4e00\u6838\u5fc3\u64cd\u4f5c\uff0c\u4e5f\u591a\u662f\u57fa\u4e8e BERT \u7684\u7f16\u7801\u80fd\u529b\u3002<\/p>\n<p>\uff08\u867d\u7136\u4e5f\u80fd\u57fa\u4e8e\u751f\u6210\u5f0f\u65b9\u6cd5\u505a\uff0c\u8bf8\u5982\u4f7f\u7528 RWKV \u5b8c\u6210\u9605\u8bfb\u540e\u7684\u6700\u7ec8\u72b6\u6001\uff09<\/p>\n<\/blockquote>\n<p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5219\u53ef\u4ee5\u4ece GPT \u7684\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u8ba8\u8bba\u667a\u80fd\u7684\u51fa\u73b0\u6b65\u9aa4\u3002<\/p>\n<p>\u200d<\/p>\n<h3>Instruction Tuning \u2014\u2014 \u4f60\u5e72\u561b\u554a\uff08\u6307\u8be2\u95ee\uff09<\/h3>\n<p>\u7a81\u7136\u53d1\u73b0\u5199\u5230\u8fd9\u91cc\u5c31\u53ef\u4ee5\u5f00\u59cb\u6284\u4e4b\u524d\u5199\u8fc7\u7684\u4e1c\u897f\u4e86\uff0c\u6211\u592a\u5f00\u5fc3\u4e86\u3002<\/p>\n<p>\u200b<img decoding=\"async\" src=\"http:\/\/kodo.cyasylum.top\/siyuan\/202308291238266.png\" alt=\"image\" \/>\u200b<\/p>\n<p>\u5982\u56fe\u6240\u793a\uff0c\u4e3a\u7f51\u53cb\u6574\u7406\u7684\u4ece\u521d\u7248 GPT-3 \u8fdb\u5316\u81f3\u5982\u4eca\u6211\u4eec\u6240\u89c1 ChatGPT \u7684\u8109\u7edc\u56fe\u3002<\/p>\n<p>\u5176\u4e2d\u5305\u542b\u4e86\u5982 Instruction Tuning\u3001Training on Code\u3001RLHF(Reinforcement Learning from Human Feedback\uff0c\u57fa\u4e8e\u4eba\u7c7b\u53cd\u9988\u7684\u5f3a\u5316\u5b66\u4e60\u65b9\u5f0f) \u7b49\u8bf8\u591a\u7ec6\u8282\u7684\u5f15\u5165\uff0c\u5e76\u7531\u6b64\u63ed\u793a\u4e86\u5927\u6a21\u578b \u96f6\u6837\u672c\u80fd\u529b\u3001ICL(In Context-Learning\uff0c\u57fa\u4e8e\u4e0a\u4e0b\u6587\u5b66\u4e60)\u80fd\u529b\u3001CoT(Chain of Thought\uff0c\u601d\u7ef4\u94fe)\u80fd\u529b\u3001\u4e0e\u4eba\u7c7b\u4ea4\u4e92\u80fd\u529b \u7b49\u7ec6\u8282\u80fd\u529b\u7684\u7531\u6765\u3002<\/p>\n<p>\u5173\u4e8e\u8fd9\u90e8\u5206\u7684\u4ecb\u7ecd\u53ef\u4ee5\u53c2\u8003\u8fd9\u7bc7\u6587\u7ae0\uff1a<a href=\"https:\/\/zhuanlan.zhihu.com\/p\/607469120\" target=\"_blank\"  rel=\"nofollow\" >\u62c6\u89e3\u8ffd\u6eaf ChatGPT \u5404\u9879\u80fd\u529b\u7684\u8d77\u6e90 - \u77e5\u4e4e (zhihu.com)<\/a><\/p>\n<p>\u200d<\/p>\n<p>\u4f46\u4ec5\u8003\u8651\u6211\u4eec\u4eca\u5929\u7684\u8bfe\u9898\uff08\u8bf8\u4f4d\u8fd8\u8bb0\u5f97\u6211\u4eec\u7684\u8bfe\u9898\u662f\u5565\u5417\uff0c\u6211\u90fd\u5feb\u5fd8\u4e86\uff09\uff0c\u6211\u4eec\u7684\u8ba8\u8bba\u4f1a\u7a0d\u663e\u6536\u655b\uff0c\u5e76\u843d\u811a\u4e8e Instruction Tuning \u8fd9\u4e00\u5904\u7ec6\u8282\u3002<\/p>\n<p>\u5728\u4e00\u4e2a\u5927\u8bed\u8a00\u6a21\u578b\u7684\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u6700\u5c11\u4f1a\u7ecf\u5386\u4e09\u4e2a\u9636\u6bb5\u7684\u8bad\u7ec3\uff1a<\/p>\n<ul>\n<li>\u9884\u8bad\u7ec3\u9636\u6bb5\uff1a\u901a\u8fc7\u6d77\u91cf\u6587\u672c\u6570\u636e\uff0c\u65e0\u76d1\u7763\u8ba9\u5927\u6a21\u578b\u81ea\u884c\u9884\u6d4b\uff0c\u5e76\u57fa\u4e8e\u6b64\u5b66\u4e60\u4e00\u5b9a\u7a0b\u5ea6\u7684\u8bed\u8a00\u7406\u89e3\u80fd\u529b<\/li>\n<li>\u5fae\u8c03\u9636\u6bb5\uff1a\u901a\u8fc7\u4e00\u90e8\u5206\u4f18\u8d28\u6587\u672c\u6837\u4f8b\uff0c\u57fa\u4e8e\u7279\u5b9a\u6587\u672c\u5bf9\uff0c\u8ba9\u5927\u6a21\u578b\u62e5\u6709\u4e00\u5b9a\u7684\u53d7\u63a7\u751f\u6210\u80fd\u529b<\/li>\n<\/ul>\n<p>\u968f\u540e\uff0c\u4e5f\u5373\u662f\u6700\u5173\u952e\uff0c\u5982\u4eca\u66f4\u591a\u4e3a\u4eba\u4eec\u6240\u8ba8\u8bba\u7684\u6307\u4ee4\u5fae\u8c03\u9636\u6bb5\uff1a<\/p>\n<p>\u5728\u8fd9\u4e00\u73af\u8282\u4e2d\uff0c\u8bad\u7ec3\u5e08\u4eec\u5c06\u8bad\u7ec3\u6837\u672c\u57fa\u4e8e\u6307\u4ee4\u8fdb\u884c\u8f6c\u5316\uff0c\u5e76\u8bad\u7ec3\u5927\u8bed\u8a00\u6a21\u578b\u5185\u90e8\u5efa\u6a21\u5bf9\u95ee\u9898\u7684\u7406\u89e3\u80fd\u529b\uff0c\u5e76\u7531\u6b64\u4f7f\u5f97 LLM \u83b7\u5f97\u4eba\u7c7b\u6240\u9700\u8981\u7684\u667a\u80fd\u3002<\/p>\n<p>\u200d<\/p>\n<blockquote>\n<p>\u4e0b\u9762\u662f\u4e00\u6bb5\u6765\u81ea ChatGPT \u7684\u89e3\u91ca\uff1a<\/p>\n<p>Q\uff1a\u4f60\u80fd\u4e3a\u6211\u7b80\u5355\u4ecb\u7ecd\u6307\u4ee4\u5fae\u8c03\u548c\u5fae\u8c03\u7684\u533a\u522b\u5417\uff1f<\/p>\n<p>A\uff1a\u5f53\u7136\u53ef\u4ee5\uff0c\u6211\u4f1a\u4e3a\u4f60\u89e3\u91ca GPT-3 \u6a21\u578b\u7684\u539f\u59cb\u5fae\u8c03\u6837\u672c\u548c Instruction Tuning \u6837\u672c\u7684\u4f8b\u5b50\u3002\u8fd9\u4e24\u8005\u4e4b\u95f4\u786e\u5b9e\u5b58\u5728\u4e00\u5b9a\u7684\u76f8\u4f3c\u6027\uff0c\u4f46\u5173\u952e\u533a\u522b\u5728\u4e8e\u4efb\u52a1\u6307\u5bfc\u548c\u8f93\u5165\u6307\u4ee4\u7684\u660e\u786e\u7a0b\u5ea6\u3002<\/p>\n<p>\u200d<\/p>\n<p><strong>\u539f\u59cb\u5fae\u8c03\u6837\u672c\uff1a \u200b<\/strong><\/p>\n<p>\u5728 GPT-3 \u7684\u5fae\u8c03\u9636\u6bb5\uff0c\u6211\u4eec\u901a\u5e38\u4f7f\u7528\u7279\u5b9a\u4efb\u52a1\u7684\u6807\u6ce8\u6570\u636e\u6765\u4f18\u5316\u6a21\u578b\u3002\u4f8b\u5982\uff0c\u5728\u60c5\u611f\u5206\u6790\u4efb\u52a1\u4e2d\uff0c\u8f93\u5165\u662f\u4e00\u6bb5\u6587\u672c\uff0c\u800c\u8f93\u51fa\u662f\u6587\u672c\u5bf9\u5e94\u7684\u60c5\u611f\uff08\u6b63\u9762\u6216\u8d1f\u9762\uff09\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u8f93\u5165\u548c\u8f93\u51fa\u7684\u6837\u672c\u53ef\u80fd\u5982\u4e0b\uff1a<\/p>\n<p>**\u8f93\u5165\uff1a**I had a fantastic time at the concert last night.<\/p>\n<p>**\u8f93\u51fa\uff1a**positive<\/p>\n<p>\u8fd9\u91cc\uff0c\u8f93\u5165\u548c\u8f93\u51fa\u7684\u683c\u5f0f\u76f8\u5bf9\u7b80\u5355\uff0c\u6a21\u578b\u9700\u8981\u6839\u636e\u8f93\u5165\u6587\u672c\u751f\u6210\u6b63\u786e\u7684\u60c5\u611f\u6807\u7b7e\u3002<\/p>\n<p>\u200d<\/p>\n<p><strong>\u6307\u4ee4\u5fae\u8c03\u6837\u672c\uff1a<\/strong><\/p>\n<p>\u5bf9\u4e8e Instruction Tuning\uff0c\u8f93\u5165\u5305\u542b\u66f4\u660e\u786e\u7684\u4efb\u52a1\u6307\u5bfc\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u53ef\u4ee5\u4e3a\u60c5\u611f\u5206\u6790\u4efb\u52a1\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u6307\u4ee4\u7684\u8f93\u5165\uff1a<\/p>\n<p>**\u8f93\u5165\uff1a**Determine the sentiment of the following text: &quot;I had a fantastic time at the concert last night.&quot;<\/p>\n<p>**\u8f93\u51fa\uff1a**positive<\/p>\n<p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u8f93\u5165\u4e2d\u5305\u542b\u4e86\u660e\u786e\u7684\u4efb\u52a1\u6307\u5bfc\uff08\u201cDetermine the sentiment of the following text\u201d\uff09\uff0c\u544a\u8bc9\u6a21\u578b\u9700\u8981\u5224\u65ad\u7ed9\u5b9a\u6587\u672c\u7684\u60c5\u611f\u3002\u8fd9\u4f7f\u5f97\u6a21\u578b\u5728\u6267\u884c\u4efb\u52a1\u65f6\u66f4\u52a0\u6e05\u695a\u5730\u7406\u89e3\u8f93\u5165\u6307\u4ee4\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u603b\u7684\u6765\u8bf4\uff0cGPT-3 \u539f\u59cb\u5fae\u8c03\u6837\u672c\u548c Instruction Tuning \u6837\u672c\u7684\u4e3b\u8981\u533a\u522b\u5728\u4e8e\u8f93\u5165\u6307\u4ee4\u7684\u660e\u786e\u7a0b\u5ea6\u3002\u5728\u539f\u59cb\u5fae\u8c03\u4e2d\uff0c\u8f93\u5165\u548c\u8f93\u51fa\u7684\u683c\u5f0f\u901a\u5e38\u6bd4\u8f83\u7b80\u5355\uff0c\u800c\u5728 Instruction Tuning \u4e2d\uff0c\u8f93\u5165\u4f1a\u5305\u542b\u66f4\u660e\u786e\u7684\u4efb\u52a1\u6307\u5bfc\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u4f60\u53ef\u4ee5\u6839\u636e\u4efb\u52a1\u9700\u6c42\u548c\u6570\u636e\u53ef\u7528\u6027\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002<\/p>\n<\/blockquote>\n<p>\u200d<\/p>\n<p>\u800c\u8fd9\u4e00\u5b66\u4e60\u65b9\u6cd5\u7684\u5f15\u5165\uff0c\u771f\u6b63\u8ba9 GPT \u5b9e\u73b0\u4e86\u4f5c\u4e3a\u8bed\u8a00\u6a21\u578b\u7684\u901a\u7528\u6027\u548c\u4ef7\u503c\u3002<\/p>\n<h3>Prompt Tuning \u2014\u2014 \u8bad\u7ec3\u5e08 to \u8c03\u6559\u5e08<\/h3>\n<p>\u968f\u7740 Instruction Tuning \u7684\u5f15\u5165\uff0c\u5bf9\u4e8e LLM \u7684\u4f7f\u7528\u8303\u5f0f\u51fa\u73b0\u4e86\u4e00\u5b9a\u7684\u533a\u522b\u3002<\/p>\n<p>\u4f46\u603b\u4f53\u800c\u8a00\uff0c\u57fa\u672c\u5448\u73b0\u4e3a\u4e24\u4e2a\u65b9\u5411\uff1a<\/p>\n<ul>\n<li>\u5bf9\u4e8e\u4e00\u4e9b\u8f83\u5c0f\u6613\u4e8e\u8bad\u7ec3\u7684\u672c\u5730\u6a21\u578b\uff08\u901a\u5e38\u5bb6\u7528\u95e8\u69db\u4e3a14B\u4ee5\u4e0b\uff09\uff0c\u901a\u8fc7\u81ea\u5df1\u6536\u96c6\u6307\u4ee4\u5fae\u8c03\u6837\u672c\u8bad\u7ec3 Lora\uff0c\u5e76\u4ee5\u6b64\u8fbe\u5230\u8ba9\u6a21\u578b\u5b8c\u6210\u6307\u5b9a\u4efb\u52a1\u7684\u76ee\u6807\u3002<\/li>\n<li>\u5bf9\u4e8e\u4e00\u4e9b\u8f83\u5927\u800c\u96be\u4ee5\u8bad\u7ec3\u548c\u90e8\u7f72\uff0c\u4f46\u66f4\u52a0\u5177\u6709\u901a\u7528\u80fd\u529b\u7684\u6781\u5927\u6a21\u578b\uff0870B\u5f80\u4e0a\u7684\u57fa\u672c\u5177\u6709\u901a\u7528\u80fd\u529b\u7684\u6a21\u578b\uff09\uff0c\u901a\u8fc7\u7528\u6237\u6839\u636e\u4f7f\u7528\u60c5\u666f\u548c\u8f93\u51fa\u6548\u679c\uff0c\u4e0d\u65ad\u4f18\u5316\u5bf9\u6a21\u578b\u8f93\u5165\u7684\u63d0\u793a\u8bcd\uff0c\u4ece\u800c\u5b8c\u6210\u6307\u5b9a\u4efb\u52a1\u3002<\/li>\n<\/ul>\n<p>\u7531\u540e\u8005\uff0c\u4e5f\u884d\u751f\u51fa\u4e86\u8bf8\u5982 ToT(Tree of Thought)\u3001GoT(Graph of Thought)\u3001\u4ee5\u53ca\u901a\u8fc7\u7a0b\u5f0f\u5316\u6784\u5efa Agent \u7cfb\u7edf \u6765\u8f85\u52a9 LLM \u5b9e\u73b0\u590d\u6742\u529f\u80fd\u7684\u65b9\u6cd5\uff0c\u4f46\u8fd9\u5c31\u53c8\u504f\u79bb\u4eca\u5929\u7684\u4e3b\u9898\u54af\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u4ed4\u7ec6\u60f3\u60f3\uff0c\u8fd9\u91cc\u8ddf\u6211\u4eec\u7684\u6b63\u9898\u4f3c\u4e4e\u5df2\u7ecf\u504f\u79bb\u592a\u8fdc\u4e86\u3002<\/p>\n<p>\u4f46\u76f8\u4fe1\u6211\uff0c\u8ba8\u8bba\u5230\u7684\u6bcf\u4e00\u5904\u6700\u540e\u5e94\u8be5\u90fd\u80fd\u7528\u4e0a\uff0c\u5427\uff08\u5927\u5618\uff09<\/p>\n<h1>\u6b63\u9898 \u2014\u2014 \u52a8\u753b\u751f\u6210\u6280\u672f\u7684\u53d1\u5c55<\/h1>\n<p>\u7ec8\u4e8e\uff0c\u6211\u4eec\u56de\u5230\u4e86\u6700\u521d\u7684\u8d77\u70b9\u3002\u800c\u8fd9\u65f6\uff0c\u79bb\u8fd9\u7bc7\u6587\u7ae0\u5f00\u5751\u5df2\u7ecf\u8fc7\u53bb\u597d\u957f\u4e00\u6bb5\u65f6\u95f4\u4e86\u3002<\/p>\n<p>\u7528\u4e86\u6574\u6574\u4e00\u5927\u8282\u628a\u5f53\u4eca\u7684AIGC\u573a\u9762\u904d\u5386\u4e86\u4e00\u756a\uff0c\u7ec8\u4e8e\u80fd\u57fa\u4e8e\u6b64\u7aa5\u63a2\u52a8\u753b\u751f\u6210\u6280\u672f\u7684\u53d1\u5c55\u9053\u8def\u4e86\u3002<\/p>\n<p>\u200d<\/p>\n<p>\u4e0d\u8fc7\u5373\u4fbf\u5982\u6b64\uff0c\u6211\u4eec\u7684\u51fa\u53d1\u70b9\u4f9d\u65e7\u4e0d\u662fAI\u52a8\u753b\u751f\u6210\u672c\u8eab\uff0c\u800c\u662f\u8981\u4ece\u6211\u7684\u6bd5\u4e1a\u8bba\u6587\u8bf4\u8d77\uff08\u60b2\uff09<\/p>\n<p>\u200d<\/p>\n<p>\u200d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4ece AI \u52a8\u6355 \u5230 \u52a8\u753b\u751f\u6210 \u200d \u673a\u7f18\u5de7\u5408\uff0c\u60f3\u5199\u4e00\u7bc7\u5206\u4eab\u6587\u7ae0\uff0c\u8ba8\u8bba\u4e00\u4e0b\u81ea\u5df1\u8fd1\u671f\u505a\u8fc7\u7684\u4e00\u7cfb\u5217 AI \u52a8\u753b\u76f8\u5173\u7684\u5de5\u4f5c\u3002 \u4e00\u65b9\u9762\u662f\u4e4b\u524d\u542c &#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"emotion":"","emotion_color":"","title_style":"","license":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-421","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/posts\/421","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/comments?post=421"}],"version-history":[{"count":2,"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/posts\/421\/revisions"}],"predecessor-version":[{"id":423,"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/posts\/421\/revisions\/423"}],"wp:attachment":[{"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/media?parent=421"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/categories?post=421"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/blog.cyasylum.top\/index.php\/wp-json\/wp\/v2\/tags?post=421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}