{"id":274107,"date":"2024-02-12T09:40:05","date_gmt":"2024-02-12T01:40:05","guid":{"rendered":"https:\/\/lrxjmw.cn\/?p=274107"},"modified":"2023-06-16T15:14:32","modified_gmt":"2023-06-16T07:14:32","slug":"jttclksgjzxj","status":"publish","type":"post","link":"https:\/\/lrxjmw.cn\/jttclksgjzxj.html","title":{"rendered":"\u300a\u7cbe\u901aTransformer:\u4ece\u96f6\u5f00\u59cb\u6784\u5efa\u6700\u5148\u8fdb\u7684NLP\u6a21\u578b\u300bpdf\u7535\u5b50\u4e66\u514d\u8d39\u4e0b\u8f7d"},"content":{"rendered":"
AI\u9886\u57df\u7684\u57fa\u77f3\u738b\u8005,\u90a3\u4e9b\u8fd8\u6c89\u8ff7\u4e8eCNN\uff0cRNN\u7684\u5de5\u7a0b\u5e08\u88ab\u8b66\u544a\uff1a\u653e\u5f03\u6218\u6597\u5427\uff0c\u5411Transformer\u6295\u964d\uff01<\/p>\n
\u5728\u8fc7\u53bb\u7684\u4e8c\u5341\u5e74\u4e2d\uff0c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7814\u7a76\u9886\u57df\u53d1\u751f\u4e86\u7ffb\u5929\u8986\u5730\u7684\u53d8\u5316\u3002\u5728\u8fd9\u6bb5\u65f6\u95f4\u91cc\uff0c\u81ea\u7136\u8bed \u8a00\u5904\u7406\u7ecf\u5386\u4e86\u4e0d\u540c\u7684\u5904\u7406\u8303\u5f0f\uff0c\u5e76\u7ec8\u8fdb\u5165\u4e86\u4e00\u4e2a\u7531\u795e\u5947\u7684Transformer\u4f53\u7cfb\u7ed3\u6784\u4e3b\u5bfc\u7684\u65b0\u65f6\u4ee3\u3002 Transformer\u6df1\u5ea6\u5b66\u4e60\u67b6\u6784\u662f\u901a\u8fc7\u7ee7\u627f\u8bb8\u591a\u65b9\u6cd5\u800c\u4ea7\u751f\u7684\uff0c\u5176\u4e2d\u5305\u62ec\u4e0a\u4e0b\u6587\u8bcd\u5d4c\u5165\u3001\u591a\u5934\u6ce8\u610f\u529b\u673a\u5236\u3001\u4f4d\u7f6e\u7f16\u7801\u3001\u5e76\u884c\u4f53\u7cfb\u7ed3\u6784\u3001\u6a21\u578b\u538b\u7f29\u3001\u8fc1\u79fb\u5b66\u4e60\u3001\u8de8\u8bed\u8a00\u6a21\u578b\u7b49\u3002<\/p>\n
\u5728\u5404\u79cd\u57fa\u4e8e\u795e\u7ecf\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u65b9\u6cd5\u4e2d\uff0c Transformer\u67b6\u6784\u9010\u6e10\u6f14\u53d8\u4e3a\u57fa\u4e8e\u6ce8\u610f\u529b\u7684\u201c\u7f16\u7801\u5668-\u89e3\u7801\u5668\u201d\u4f53\u7cfb\u7ed3\u6784\uff0c\u5e76\u6301\u7eed\u53d1\u5c55\u5230\u4eca\u5929\u3002\u73b0\u5728\uff0c\u6211\u4eec\u5728\u6587\u732e\u4e2d\u770b\u5230\u4e86\u8fd9\u79cd\u4f53\u7cfb\u7ed3\u6784\u7684\u65b0\u7684\u6210\u529f\u53d8\u4f53\u3002\u76ee\u524d\u7814\u7a76\u5df2\u7ecf\u53d1\u73b0\u4e86\u53ea\u4f7f\u7528 Transformer \u67b6\u6784\u4e2d\u7f16\u7801\u5668\u90e8\u5206\u7684\u51fa\u8272\u6a21\u578b\uff0c\u5982 BERT(Bidirectional Encoder Representations from Transformers,Transformers\u53cc\u5411\u7f16\u7801\u8868\u793a);\u6216\u8005\u53ea\u4f7f\u7528Transformer\u67b6\u6784 \u4e2d\u89e3\u7801\u5668\u90e8\u5206\u7684\u51fa\u8272\u6a21\u578b\uff0c\u5982 GPT(Generated Pre -trained Transformer,\u751f\u6210\u5f0f\u7684\u9884\u8bad\u7ec3 Transformer)\u3002<\/p>\n
\u672c\u4e66\u6db5\u76d6\u4e86\u8fd9\u4e9b\u81ea\u7136\u8bed\u8a00\u5904\u7406\u65b9\u6cd5\u3002\u57fa\u4e8e Hugging Face\u793e\u533a\u7684Transformer\u5e93\uff0c\u6211\u4eec\u80fd\u591f\u8f7b \u677e\u5730\u4f7f\u7528Transformer\u3002 \u672c\u4e66\u5c06\u5faa\u5e8f\u6e10\u8fdb\u5730\u63d0\u4f9b\u5404\u79cd\u81ea\u7136\u8bed\u8a00\u5904\u7406\u95ee\u9898\u7684\u89e3\u51b3\u65b9\u6848\uff1a\u4ece\u6587\u6863\u6458\u8981\u5230\u95ee \u9898\u56de\u7b54\u7cfb\u7edf\u3002\u6211\u4eec\u5c06\u770b\u5230\uff0c\u57fa\u4e8eTransformer, \u53ef\u4ee5\u53d6\u5f97\u7684\u6210\u679c\u3002<\/p>\n
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\u6839\u636e\u4e2d\u534e\u4eba\u6c11\u5171\u548c\u56fd\u56fd\u5bb6\u7248\u6743\u5c40\u76f8\u5173\u6cd5\u89c4\uff0c\u672c\u7ad9\u4e0d\u63d0\u4f9b\u8be5PDF\u7535\u5b50\u7248\u4e66\u7c4d
\n\u60a8\u53ef\u4ee5\u8fdb\u5165\u4ea4\u6d41\u793e\u7fa4\u4e2d\u7ee7\u7eed\u5bfb\u627e\u8d44\u6599\u6216\u8d2d\u4e70\u6b63\u7248\u4e66\u7c4d<\/p>\n
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