{"id":91672,"date":"2025-04-30T13:50:43","date_gmt":"2025-04-30T05:50:43","guid":{"rendered":"https:\/\/metaegh.com\/?p=91672"},"modified":"2025-04-30T14:30:59","modified_gmt":"2025-04-30T06:30:59","slug":"%e6%8e%a2%e6%9e%90%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%ba%94%e7%94%a8%e7%9a%84%e8%93%9d%e5%9b%be%e7%b3%bb%e5%88%97%e4%b9%8b-%e6%a8%a1%e5%9e%8b%e7%ae%97%e6%b3%95%e7%9a%84%e6%bc%94%e5%8f%98","status":"publish","type":"post","link":"https:\/\/metaegh.com\/zh-hans\/2025\/04\/30\/%e6%8e%a2%e6%9e%90%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%ba%94%e7%94%a8%e7%9a%84%e8%93%9d%e5%9b%be%e7%b3%bb%e5%88%97%e4%b9%8b-%e6%a8%a1%e5%9e%8b%e7%ae%97%e6%b3%95%e7%9a%84%e6%bc%94%e5%8f%98\/","title":{"rendered":"\u63a2\u6790\u4eba\u5de5\u667a\u80fd\u5e94\u7528\u7684\u84dd\u56fe\u7cfb\u5217\u4e4b \u2013 \u6a21\u578b\u7b97\u6cd5\u7684\u6f14\u53d8\u8fdb\u7a0b"},"content":{"rendered":"\n

\u7b97\u6cd5\u7684\u8fed\u4ee3\u66f4\u65b0\u5c42\u51fa\u4e0d\u7a77\u3002\u5728\u5e94\u7528\u5c42\u9762\uff0c\u5404\u5927\u6a21\u578b\u672c\u8eab\u5df2\u7ecf\u53ef\u4ee5\u5b9e\u73b0\u5feb\u95ee\u5feb\u7b54\uff0c\u4f5c\u4e3a\u4e2a\u4eba\u4f7f\u7528\u7684AI\u52a9\u624b\u6765\u5e2e\u52a9\u89e3\u51b3\u95ee\u9898\u3002\u6b64\u5916\uff0c\u5404\u6a21\u578b\u4e5f\u53ef\u4ee5\u4f5c\u4e3aAPI\u63a5\u53e3\uff0c\u4f5c\u4e3a\u8f85\u52a9\u751f\u4ea7\u5de5\u5177\uff0c\u5e94\u7528\u5728\u5404\u4e2a\u9886\u57df\u3002<\/p>\n\n\n\n

\u4e0e\u51b3\u7b56\u5f0fAI\u4e0d\u540c\uff0c\u751f\u6210\u5f0fAI\u53ef\u4ee5\u7528\u4e8e\u751f\u6210\u5404\u79cd\u5404\u6837\u7684\u5a92\u4f53\u6d41\uff0c\u6bd4\u5982\u56fe\u50cf\uff0c\u97f3\u4e50\uff0c\u89c6\u9891\u7b49\u7b49\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u751f\u6210\u5f0fAI\u548c\u673a\u5668\u5b66\u4e60\u7684\u878d\u5408\uff0c\u4e5f\u98a0\u8986\u4e86\u5404\u4e2a\u884c\u4e1a\u7684\u8fd0\u884c\u8303\u5f0f, \u4f7f\u5f97\u6240\u6709\u91cd\u590d\u6027\u7684\u5de5\u4f5c\u90fd\u6709\u53ef\u80fd\u88abAI\u66ff\u4ee3\u3002Photoshop\u65e0\u9700\u518d\u88ab\u521d\u7ea7\u7ed8\u56fe\u5e08\u5b66\u4e60\uff0c\u666e\u901a\u7684\u77e5\u8bc6\u6027\u95ee\u8be2\u80fd\u591f\u88ab\u5927\u6a21\u578b\u8f7b\u677e\u89e3\u51b3\uff0c\u751a\u81f3\u662f\u590d\u6742\u7684\u6570\u5b66\u9898\u548c\u7a0b\u5e8f\u8bbe\u8ba1\u4efb\u52a1\u4e5f\u53ef\u4ee5\u88ab\u65e0\u8bef\u5b8c\u6210\u3002<\/p>\n\n\n\n

\u6e10\u6e10\u5730AI\u6f14\u5316\u6210\uff0c\u53ef\u4ee5\u4e0d\u4ec5\u4ec5\u6267\u884c\u5355\u4e2a\u7b80\u5355\u4efb\u52a1\uff0c\u800c\u662f\u4e00\u8fde\u4e32\u7684\u590d\u6742\u4efb\u52a1\u3002\u968f\u7740AI \u88ab\u7528\u6765\u751f\u6210\u4eba\u7684\u52a8\u4f5c\uff0c\u8bed\u8a00\uff0c\u60c5\u611f\uff0c\u836f\u7269\uff0c\u86cb\u767d\u8d28\u7684\u7ed3\u6784\uff0c \u201c\u89e3\u653e\u751f\u4ea7\u529b\u201d\u79bb\u4eba\u7c7b\u8d8a\u6765\u8d8a\u8fd1 ..<\/p>\n\n\n\n

01. <\/strong>\u795e\u7ecf\u7f51\u7edc\u7684\u5f00\u7aef\u4e0e\u53d1\u5c55<\/strong><\/strong><\/p>\n\n\n\n

1943\u5e74\uff0c\u7f8e\u56fd\u795e\u7ecf\u79d1\u5b66\u5bb6\u9ea6\u5361\u6d1b\u514b\uff08Warren McCulloch\uff09\u548c\u903b\u8f91\u5b66\u5bb6\u76ae\u8328\uff08Water Pitts\uff09\u63d0\u51fa\u795e\u7ecf\u5143\u7684\u6570\u5b66\u6a21\u578b\u3002\u4ed6\u53d1\u8868\u7684\u300a\u795e\u7ecf\u6d3b\u52a8\u4e2d\u5185\u5728\u601d\u60f3\u7684\u903b\u8f91\u6f14\u7b97\u300b\uff08A Logical Calculus of Ideas Immanent in Nervous Activity\uff09\u8bba\u6587\u88ab\u89c6\u4e3a\u4eba\u5de5\u667a\u80fd\u5b66\u79d1\u7684\u5960\u57fa\u77f3\u3002\u73b0\u5728\u5927\u70ed\u7684\u300c\u6df1\u5ea6\u5b66\u4e60\u300d\uff0c\u524d\u8eab\u662f\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\uff0c\u800c\u5176\u57fa\u7840\u5c31\u662f\u795e\u7ecf\u5143\u7684\u6570\u5b66\u6a21\u578b\u3002\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u7684\u65e9\u671f\u7814\u7a76\u57281969\u5e74\u8fdb\u5165\u4e86\u957f\u671f\u505c\u6ede\u671f\uff0c\u56e0\u4e3a\u4eba\u4eec\u53d1\u73b0\u4e4b\u524d\u63d0\u51fa\u7684\u611f\u77e5\u5668\u6a21\u578b\u65e0\u6cd5\u6709\u6548\u89e3\u51b3\u975e\u7ebf\u6027\u95ee\u9898\u3002\u6b64\u540e\uff0c\u88ab\u8a89\u4e3a\u201d\u6df1\u5ea6\u5b66\u4e60\u4e4b\u7236\u201d\u7684\u6770\u5f17\u91cc\u00b7\u8f9b\u987f\uff08Geoffrey Hinton\uff09\u91cd\u65b0\u5c06\u8fd9\u4e00\u7814\u7a76\u63a8\u5411\u524d\u6cbf\u3002<\/p>\n\n\n\n

2014\u5e74\uff0c\u4f0a\u6069\u00b7\u53e4\u5fb7\u8d39\u6d1b\u7b49\u4eba\u63d0\u51fa\u751f\u6210\u5bf9\u6297\u7f51\u7edc\uff08Generative Adversarial Network\uff0c\u7b80\u79f0GAN\uff09\u3002\u4f5c\u4e3a\u975e\u76d1\u7763\u5f0f\u5b66\u4e60\u7684\u4e00\u79cd\u65b9\u6cd5\uff0cGAN\u901a\u8fc7\u4e24\u4e2a\u795e\u7ecf\u7f51\u7edc\u76f8\u4e92\u535a\u5f08\u7684\u65b9\u5f0f\u8fdb\u884c\u5b66\u4e60\uff0c\u4f7f\u5f97\u751f\u6210\u7684\u56fe\u50cf\u7ec6\u8282\u66f4\u52a0\u903c\u771f\uff0c\u540c\u65f6\u53ef\u4ee5\u5728\u56fe\u50cf\u7f16\u8f91\u65b9\u9762\u5b9e\u73b0\u4fe1\u606f\u8865\u5168\uff0c\u6bd4\u5982\u6839\u636e 2D \u8d44\u6599\u751f\u6210 3D \u6a21\u578b\uff0c\u5c06\u4f4e\u5206\u8fa8\u7387\u56fe\u50cf\u8f6c\u6362\u4e3a\u9ad8\u5206\u8fa8\u7387\u56fe\u50cf\uff0c\u6216\u5c06\u9ed1\u767d\u56fe\u50cf\u8f6c\u6362\u4e3a\u5f69\u8272\u56fe\u50cf\u7b49\u3002<\/p>\n\n\n\n

\u795e\u7ecf\u7f51\u7edc\u4f5c\u4e3a\u6700\u7ecf\u5178\u7684\u7b97\u6cd5\u6a21\u578b\uff0c\u7ecf\u5386\u4e86\u8bf8\u591a\u6f14\u53d8\u3002\u591a\u5e74\u6765\uff0c\u5176\u4ed6\u7b97\u6cd5\u7684\u7814\u7a76\u5c42\u51fa\u4e0d\u7a77\uff0c\u5305\u62ec\u5224\u5b9a\u6811\u3001\u968f\u673a\u68ee\u6797\u7b97\u6cd5\u3001\u903b\u8f91\u56de\u5f52\u3001SVM\u3001\u6734\u7d20\u8d1d\u53f6\u65af\u3001K\u6700\u8fd1\u90bb\u7b97\u6cd5\u3001K\u5747\u503c\u7b97\u6cd5\u3001Adaboost\u7b97\u6cd5\u3001\u795e\u7ecf\u7f51\u7edc\u3001\u9a6c\u5c14\u53ef\u592b\u7b49\u7b49\uff0c\u5728\u76d1\u7763\u5b66\u4e60\u548c\u65e0\u76d1\u7763\u5b66\u4e60\u7684\u65b9\u5411\u4e0a\u90fd\u6709\u4e86\u591a\u6b21\u8fed\u4ee3\u3002<\/p>\n\n\n\n

02. AI <\/strong>\u76ee\u524d\u6240\u7ecf\u5386\u7684\u9636\u6bb5<\/strong><\/strong><\/p>\n\n\n\n

1.\u65e9\u671f\u9636\u6bb5\uff081950s – 1960s\uff09\uff1a\u51fa\u73b0\u4e13\u5bb6\u7cfb\u7edf\u3001\u535a\u5f08\u8bba\u3001\u673a\u5668\u5b66\u4e60\u521d\u6b65\u7406\u8bba\u3002<\/p>\n\n\n\n

2.\u77e5\u8bc6\u9a71\u52a8\u65f6\u671f\uff081970s – 1980s\uff09\uff1a\u4e13\u5bb6\u7cfb\u7edf\u3001\u77e5\u8bc6\u8868\u793a\u3001\u81ea\u52a8\u63a8\u7406\u5f97\u5230\u53d1\u5c55\u3002<\/p>\n\n\n\n

3.\u7edf\u8ba1\u5b66\u4e60\u65f6\u671f\uff081990s – 2000s\uff09\uff1a\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u5982\u5224\u5b9a\u6811\u3001\u652f\u6301\u5411\u91cf\u673a\u3001\u8d1d\u53f6\u65af\u65b9\u6cd5\u7b49\u5174\u8d77\u3002<\/p>\n\n\n\n

4.\u6df1\u5ea6\u5b66\u4e60\u65f6\u671f\uff082010s – \u81f3\u4eca\uff09\uff1a\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u3001\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u3001\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u7b49\u6280\u672f\u5e7f\u6cdb\u5e94\u7528\u3002<\/p>\n\n\n\n

2000\u5e74\u540e\uff0c\u6df1\u5ea6\u5b66\u4e60\u6162\u6162\u5f00\u59cb\u5728\u5f71\u50cf\u8bc6\u522b\u3001\u5c24\u5176\u662f\u624b\u5199\u6570\u5b57\u8fa8\u8bc6\u4e0a\u5d2d\u9732\u5934\u89d2\u3002<\/p>\n\n\n\n

\u2022 2007\u5e74\uff0cIBM\u5f00\u53d1Watson\uff0c\u4f5c\u4e3a\u80fd\u591f\u4f7f\u7528\u81ea\u7136\u8bed\u8a00(NLP)\u6765\u56de\u7b54\u95ee\u9898\u7684AI\u7cfb\u7edf\uff0c\u671f\u5f85\u80fd\u7528\u81ea\u7136\u8bed\u8a00\u6765\u7406\u89e3\u60a3\u8005\u7684\u7535\u5b50\u75c5\u5386\uff0c\u7136\u540e\u81ea\u52a8\u68c0\u7d22\u6570\u636e\u5e93\uff0c\u627e\u5bfb\u9002\u5408\u7684\u6cbb\u7597\u65b9\u6848\u548c\u6700\u65b0\u533b\u5b66\u6587\u732e\uff0c\u6700\u7ec8\u5f97\u51fa\u75c5\u540d\u5e76\u63d0\u4f9b\u7ed9\u533b\u751f\u53c2\u8003\uff1b\u2022  2014\u5e74\uff0c\u4e0a\u8ff0\u63d0\u5230\u7684\u673a\u5668(\u5316\u540d\u4e3aEugene Goostman)\u6210\u529f\u901a\u8fc7\u56fe\u7075\u6d4b\u8bd5\uff1b\u2022  2016\u5e74\uff0cGoogle\u7684AlphaGo\u900f\u8fc7\u81ea\u6211\u5bf9\u5f08\uff0c\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\uff0c\u5e76\u51fb\u8d25\u9876\u5c16\u804c\u4e1a\u68cb\u58eb\u674e\u4e16\u4e6d(\u4e5d\u6bb5)\uff0c\u6b63\u5f0f\u63ed\u5f00AI\u6253\u8d25\u4eba\u7c7b\u7684\u91cc\u7a0b\u7891\uff1b\u2022  2018 \u5e74 7 \u6708\uff0cDeepMind \u5728\u300c\u96f7\u795e\u4e4b\u9524 III \u7ade\u6280\u573a\u300d\uff08Quake III Arena\uff09\u593a\u65d7\u6e38\u620f\u548c\u4eba\u7c7b\u968f\u673a\u7ec4\u961f\u6253\u56e2\u6218\uff0c\u51fb\u8d25\u4e86\u4eba\u7c7b\u73a9\u5bb6\u3002<\/p>\n\n\n\n

03. <\/strong>\u6df1\u5ea6\u5b66\u4e60\u4e0e\u81ea\u7136\u80fd\u8bed\u8a00\u5904\u7406<\/strong><\/strong><\/p>\n\n\n\n

Yann LeCun \u662f\u4e00\u540d\u6cd5\u88d4\u7f8e\u56fd\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\uff0c\u57281989~1998\u5e74\u95f4\u53d1\u8868\u4e86\u8bb8\u591a\u5173\u4e8eCNN\u7684\u7814\u7a76\uff0c\u4e3a\u73b0\u4ee3CNN\u67b6\u6784\u6253\u4e0b\u575a\u5b9e\u7684\u57fa\u7840\uff0c\u56e0\u6b64\u88ab\u79f0\u4e3a\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u4e4b\u7236\u3002\u4f5c\u4e3a 2018 \u5e74\u7684\u56fe\u7075\u5956\u5f97\u4e3b\u4e4b\u4e00\uff0c\u4ed6\u4e0e\u6770\u5f17\u91cc\u30fb\u8f9b\u987f\uff08Geoffrey Hinton\uff09\u3001\u4e54\u8212\u4e9a\u30fb\u672c\u5409\u5965\uff08Yoshua Bengio\uff09\u4e00\u8d77\u88ab\u8a89\u4e3a \u201c\u6df1\u5ea6\u5b66\u4e60\u4e09\u5de8\u5934\u201d\u3002<\/p>\n\n\n\n

2012\u5e74\uff0c\u5728Imagenet\u56fe\u50cf\u8bc6\u522b\u5927\u8d5b\u4e2d\uff0cHinton\u7ec4\u7684\u8bba\u6587\u300aImageNet Classification with Deep Convolutional Neural Networks\u300b\u4e2d\u63d0\u5230\u7684Alexnet\u5f15\u5165\u4e86\u5168\u65b0\u7684\u6df1\u5c42\u7ed3\u6784\u548cdropout\u65b9\u6cd5\uff0c\u4e00\u4e0b\u5b50\u628a\u9519\u8bef\u7387\u4ece25%\u4ee5\u4e0a\u63d0\u5347\u5230\u4e8615%\uff0c\u98a0\u8986\u4e86\u56fe\u50cf\u8bc6\u522b\u9886\u57df\u4e4b\u540e\uff0cCNN\u5f00\u59cb\u84ec\u52c3\u53d1\u5c55\u3002<\/p>\n\n\n\n

CNN\u548cDNN\uff08\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\uff0c\u53ef\u4ee5\u7406\u89e3\u4e3a\u6709\u5f88\u591a\u9690\u85cf\u5c42\u7684\u795e\u7ecf\u7f51\u7edc\u3002\uff09\u7684\u53d1\u5c55\u62c9\u52a8\u4e86\u6574\u4e2a\u673a\u5668\u89c6\u89c9\u7684\u5e7f\u6cdb\u5e94\u7528\uff0c\u6bd4\u5982\u65e0\u4eba\u9a7e\u9a76\uff0c\u9762\u90e8\u8bc6\u522b\uff0c\u81ea\u52a8\u63a7\u5236\uff0c\u4fe1\u53f7\u5904\u7406\u7b49\u9886\u57df\u3002<\/p>\n\n\n\n

\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u7814\u7a76\u59cb\u4e8e1950\u5e74\u4ee3\u30022011\u5e74\u4ee5\u6765\uff0c\u6df1\u5ea6\u5b66\u4e60\u6280\u5de7\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u65b9\u9762\u5c42\u5c42\u7a81\u7834\uff0c\u4f8b\u5982\u8bed\u8a00\u6a21\u578b\u3001\u8bed\u6cd5\u5206\u6790\u7b49\u7b49\u3002\u57282017\u5e74, \u8c37\u6b4c\u5927\u8111\u56e2\u961f\u53d1\u8868\u8bba\u6587  \u201cAttention Is All You Need\u201d\uff0c\u5c06Attention\u7684\u601d\u60f3\u53d1\u6325\u5230\u6781\u81f4\u3002\u8be5\u8bba\u6587\u63d0\u51fa\u7684Transformer\u6a21\u578b\uff0c\u57fa\u4e8eencoder-decoder\u67b6\u6784\uff0c\u629b\u5f03\u4e86\u4f20\u7edf\u7684RNN\u3001CNN\u6a21\u578b\uff0c\u4ec5\u7531Attention\u673a\u5236\u5b9e\u73b0\u3002\u5e76\u4e14\u7531\u4e8eencoder\u7aef\u91c7\u7528\u5e76\u884c\u8ba1\u7b97\uff0c\u8bad\u7ec3\u65f6\u95f4\u5927\u5927\u7f29\u77ed\u3002<\/p>\n\n\n\n

Transformer\u6a21\u578b\u5e7f\u6cdb\u5e94\u7528\u4e8eNLP\u9886\u57df\uff0c\u673a\u5668\u7ffb\u8bd1\u3001\u6587\u672c\u6458\u8981\u3001\u95ee\u7b54\u7cfb\u7edf\u7b49\u7b49\u3002\u5728Google\u5b66\u672f\u641c\u5bfb\u4e0a\u7d22\u5f15\u7684\u51fa\u7248\u7269\u7684\u6807\u9898, \u81ea\u7136\u8bed\u8a00\u5904\u7406\u6807\u8bb0\u5316(Tokenization)\u4ece\u6700\u9ad8\u9891\u7387\u5230\u6700\u4f4e\u9891\u7387\u5bf9\u642d\u914d\u8fdb\u884c\u6392\u5e8f\u3002Transformer\u5c06\u6570\u636e\u95f4\u7684\u5173\u7cfb\u89c6\u4e3a\u91cd\u8981\u53d8\u91cf\uff0c\u901a\u8fc7\u5bf9\u7279\u5b9a\u4fe1\u606f\u7ed9\u4e88\u66f4\u591a\u201d\u5173\u6ce8\u201d\uff0c\u5b83\u53ef\u4ee5\u5b66\u4e60\u6570\u636e\u4e4b\u95f4\u7684\u590d\u6742\u5173\u7cfb\u548c\u6a21\u5f0f\uff0c\u6355\u6349\u66f4\u591a\u91cd\u8981\u4fe1\u606f\uff0c\u4ece\u800c\u4ea7\u751f\u66f4\u9ad8\u8d28\u91cf\u7684\u8f93\u51fa\u7ed3\u679c\u3002<\/p>\n\n\n\n

04. GPT<\/strong>\u6a21\u578b\u7684\u95ee\u4e16\u548c\u7ade\u4e89<\/strong><\/strong><\/p>\n\n\n\n

GPT 1.0\u9996\u6b21\u4e8e2018\u5e74\u53d1\u5e03\u30022021\u5e741\u6708\uff0cOpenAI\u53d1\u5e03\u4e86\u6587\u672c\u751f\u6210\u56fe\u50cf\u7684\u6a21\u578b DALL-E\u3002\u548cGPT 3\u4e00\u6837\uff0cDALL\u00b7E\u4e5f\u662f\u57fa\u4e8eTransformer\u7684\u8bed\u8a00\u6a21\u578b\uff0c\u5b83\u540c\u65f6\u63a5\u53d7\u6587\u672c\u548c\u56fe\u50cf\u6570\u636e\u5e76\u751f\u6210\u56fe\u50cf\u30022022 \u5e74 11 \u6708 30 \u65e5\uff0cOpenAI \u63a8\u51fa\u4e86 ChatGPT 3.5\uff0c\u62c9\u5f00\u4e86\u7b97\u529b\u57fa\u5efa\u7684\u5e8f\u5e55\u3002\u4ec5\u4ec5\u82b1\u4e865\u5929\u65f6\u95f4\uff0cChatGPT\u7684\u6ce8\u518c\u7528\u6237\u6570\u91cf\u8fbe\u5230100\u4e07\uff0c\u521b\u4e86\u4e92\u8054\u7f51\u5386\u53f2\u7eaa\u5f55\u3002\u4e24\u4e2a\u6708\u540e\uff0c2023\u5e741\u6708\uff0cChatGPT\u7684\u6708\u6d3b\u7528\u6237\u6570\u91cf\u8fbe\u52301\u4ebf\u3002<\/p>\n\n\n\n

2012\u5e74\uff0cImagenet\u56fe\u50cf\u8bc6\u522b\u5927\u8d5b\u4e2d\uff0c\u8be5\u516c\u53f8\u7684 300 \u591a\u540d\u5458\u5de5\uff08\u8d44\u6599\u622a\u6b62\u5230 2023 \u5e74 1 \u6708\uff09\u4e2d\u6709\u8bb8\u591a\u6765\u81ea\u8c37\u6b4c\u548c DeepMind \u7684\u6bcd\u516c\u53f8 Alphabet\u3002\u6570\u636e\u663e\u793a\uff0cOpenAI \u76ee\u524d\u96c7\u4f63\u4e86\u7ea6 59 \u540d\u8c37\u6b4c\u524d\u5458\u5de5\u548c\u7ea6 34 \u540d Meta \u524d\u5458\u5de5\uff0c\u540c\u65f6\u5305\u62ec\u51e0\u540d\u82f9\u679c\u548c\u4e9a\u9a6c\u7684\u524d\u900a\u5458\u5de5\u3002<\/p>\n\n\n\n

\u5728GPT\u6a2a\u7a7a\u51fa\u4e16\u7684\u8fd9\u4e24\u5e74\u591a\u91cc\uff0c\u5404\u5927\u4e91\u670d\u52a1\u53ca\u6a21\u578b\u5382\u5546\u4e89\u5148\u7ade\u8d5b\uff0c\u6bd4\u62fc\u5927\u6a21\u578b\u7684\u6548\u679c\u548c\u4f18\u5316\u80fd\u529b\u3002\u5176\u4e2d\u7684\u51e0\u5bb6\u4e3b\u8981\u6a21\u578b\u5382\u5546\u53d1\u5e03\u7684\u6a21\u578b\u8fdb\u5ea6\u5982\u4e0b\u3002
OpenAI GPT-3\uff1a\u53d1\u5e03\u4e8e2020\u5e74\uff0c\u662f\u4e00\u4e2a\u5177\u67091750\u4ebf\u53c2\u6570\u7684\u8bed\u8a00\u6a21\u578b\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u6587\u672c\u751f\u6210\u3001\u7ffb\u8bd1\u3001\u95ee\u7b54\u7b49\u4efb\u52a1\u3002GPT-4\uff1a\u53d1\u5e03\u4e8e2023\u5e74\uff0c\u8fdb\u4e00\u6b65\u63d0\u5347\u4e86\u6a21\u578b\u7684\u80fd\u529b\uff0c\u652f\u6301\u66f4\u590d\u6742\u7684\u4efb\u52a1\u548c\u66f4\u957f\u7684\u4e0a\u4e0b\u6587\u5904\u7406\u3002<\/p>\n\n\n\n

Google BERT\uff1a\u53d1\u5e03\u4e8e2018\u5e74\uff0c\u662f\u4e00\u79cd\u53cc\u5411\u7f16\u7801\u5668\u8868\u793a\u7684\u53d8\u6362\u5668\u6a21\u578b\uff0c\u5e7f\u6cdb\u7528\u4e8e\u81ea\u7136\u8bed\u8a00\u7406\u89e3\u4efb\u52a1\u3002PaLM\uff1a\u53d1\u5e03\u4e8e2022\u5e74\uff0c\u5177\u67095400\u4ebf\u53c2\u6570\uff0c\u662fGoogle\u8fc4\u4eca\u4e3a\u6b62\u6700\u5927\u7684\u8bed\u8a00\u6a21\u578b\uff0c\u4e13\u6ce8\u4e8e\u63d0\u9ad8\u8bed\u8a00\u7406\u89e3\u548c\u751f\u6210\u80fd\u529b\u3002Gemini\uff1a\u53d1\u5e03\u4e8e2023\u5e74\uff0c\u8fdb\u4e00\u6b65\u63d0\u5347\u4e86\u591a\u6a21\u6001\u5904\u7406\u80fd\u529b\u3002<\/p>\n\n\n\n

Meta (Facebook) LLaMA\uff1a\u53d1\u5e03\u4e8e2023\u5e74\uff0c\u662f\u4e00\u79cd\u8f7b\u91cf\u7ea7\u7684\u5927\u6a21\u578b\uff0c\u65e8\u5728\u63d0\u4f9b\u9ad8\u6548\u7684\u8bed\u8a00\u5904\u7406\u80fd\u529b\u3002LLaMA 2\uff1a\u53d1\u5e03\u4e8e2024\u5e74\uff0c\u589e\u52a0\u4e86\u53c2\u6570\u89c4\u6a21\u548c\u591a\u6a21\u6001\u5904\u7406\u80fd\u529b<\/p>\n\n\n\n

\u5fae\u8f6f Turing-NLG\uff1a\u53d1\u5e03\u4e8e2020\u5e74\uff0c\u662f\u4e00\u4e2a\u5177\u6709170\u4ebf\u53c2\u6570\u7684\u751f\u6210\u6a21\u578b\uff0c\u7528\u4e8e\u589e\u5f3a\u5fae\u8f6f\u7684\u8bed\u8a00\u5904\u7406\u80fd\u529b\u3002Turing-Next\uff1a\u540e\u7eed\u7248\u672c\u57282022\u5e74\u63a8\u51fa\uff0c\u8fdb\u4e00\u6b65\u4f18\u5316\u4e86\u6a21\u578b\u6027\u80fd\u548c\u5e94\u7528\u573a\u666f\u3002<\/p>\n\n\n\n

Anthropic Claude\uff1a\u53d1\u5e03\u4e8e2023\u5e74\uff0c\u662f\u4e00\u4e2a\u4e13\u6ce8\u4e8e\u5b89\u5168\u6027\u548c\u4f26\u7406\u7684\u8bed\u8a00\u6a21\u578b\uff0c\u65e8\u5728\u63d0\u4f9b\u66f4\u5b89\u5168\u7684\u4eba\u5de5\u667a\u80fd\u670d\u52a1\u3002<\/p>\n\n\n\n

05. DeepSeek <\/strong>\u7834\u51b0<\/strong><\/strong><\/p>\n\n\n\n

2025\u5e741\u670820\u65e5\uff0c\u6df1\u5ea6\u6c42\u7d22\uff08DeepSeek\uff09\u53d1\u5e03DeepSeek-R1\u6a21\u578b\uff0c\u4e13\u95e8\u9002\u7528\u4e8e\u6570\u5b66\u3001\u7f16\u7801\u548c\u903b\u8f91\u7b49\u4efb\u52a1\uff0c\u6027\u80fd\u5bf9\u6807OpenAI o1\u3002\u7531\u4e8eDeepseek\u5728MoE\uff0cKV cache\uff0c\u6a21\u578b\u84b8\u998f\uff0c\u8d1f\u8f7d\u5747\u8861\uff0c\u751a\u81f3\u662fH800\u6548\u80fd\u65b9\u9762\u7684\u6781\u81f4\u63a2\u7d22\uff0c\u4f7f\u5f97DeepSeek-R1\u7684API\u5b9a\u4ef7\u4ec5\u4e3aOpenAI o1\u6a21\u578b\u8fd0\u884c\u6210\u672c\u76843%\uff0c\u4ece\u6b64\u62c9\u5f00\u4e86\u5404\u5927\u6a21\u578b\u5382\u5546API\u7ade\u76f8\u964d\u4ef7\u7684\u5e8f\u5e55\u3002<\/p>\n\n\n\n

API\u7684\u8ba1\u4ef7\u65b9\u5f0f\u4ee5token\u4e3a\u5355\u4f4d\u3002\u5176\u4e2d\uff0c\u4e00\u4e2a\u82f1\u6587\u5b57\u6bcd\u7ea6\u4e3a0.3 token\uff0c\u4e00\u4e2a\u4e2d\u6587\u5b57\u6bcd\u7ea6\u4e3a0.6 -1 token\uff0c\u901a\u5e38\u4e00\u8f6e\u5bf9\u8bdd\u9700\u8981\u6d88\u8017\u7684\u51e0\u767e\u5de6\u53f3\u7684token\uff0c\u4e00\u6bb5\u9700\u8981\u601d\u7ef4\u94fe\u7684\u95ee\u7b54\u53ef\u80fd\u6d88\u8017\u8fc7\u4e07token\u3002<\/p>\n\n\n\n

\u8c03\u7528\u6a21\u578b\u65f6\u4ea7\u751f\u7684\u8d39\u7528 = \u8f93\u5165\u8c03\u7528\u6d88\u8017\u91cf \u00d7\u8f93\u5165\u5355\u4ef7 + \u8f93\u51fa\u8c03\u7528\u6d88\u8017\u91cf \u00d7\u8f93\u51fa\u5355\u4ef7\uff0c\u5982\u679c\u9700\u8981\u8054\u7cfb\u4e0a\u4e0b\u6587\uff0c\u5219\u4f1a\u5c06\u4e0a\u4e0b\u6587\u7684token\u4e00\u5e76\u8ba1\u7b97\u3002\u5f00\u542f Context Cache \u6a21\u5f0f\u65f6\uff0c\u7528\u6237\u7684\u8bf7\u6c42\u88ab\u7cfb\u7edf\u5224\u65ad\u662f\u5426\u547d\u4e2d\u4e86 Cache\uff0c\u88ab\u547d\u4e2d\u7684 Token \u4f1a\u6309\u7167 cached_token \u6765\u8ba1\u8d39\uff0ccached_token\u7684\u5355\u4ef7\u4e3ainput_token\u5355\u4ef7\u768440%\u3002\u7136\u800c\uff0c\u4e0a\u4e0b\u6587\u7f13\u5b58\u7684\u547d\u4e2d\u6982\u7387\u5e76\u4e0d\u662f100%\uff0c\u5373\u4f7f\u662f\u4e0a\u4e0b\u6587\u5b8c\u5168\u4e00\u81f4\u7684\u8bf7\u6c42\uff0c\u4e5f\u5b58\u5728\u65e0\u6cd5\u547d\u4e2d\u7684\u6982\u7387\uff0c\u547d\u4e2d\u6982\u7387\u4f9d\u636e\u7cfb\u7edf\u5224\u65ad\u800c\u5b9a\u3002<\/p>\n\n\n\n

\u79d1\u5b66\u5bb6Yann LeCun \u8bc4\u4ef7\uff0cDeepseek\u6a21\u578b\u7684\u6210\u529f\u5e76\u4e0d\u4ec5\u662f\u4e2d\u56fd\u7684\u6210\u529f\uff0c\u800c\u662f\u5f00\u6e90\u6a21\u578b\u7684\u6210\u529f\uff0c\u6bcf\u4e2a\u4eba\u90fd\u4f1a\u56e0\u6b64\u53d7\u76ca\u3002DeepSeek \u4e8e 2025 \u5e74 1 \u6708\u53c8\u53d1\u5e03\u4e86\u6700\u65b0\u7684\u5f00\u6e90 LLM DeepSeek-R1\uff0c\u4e13\u4e3a\u903b\u8f91\u63a8\u7406\u3001\u6570\u5b66\u63a8\u7406\u548c\u5b9e\u65f6\u95ee\u9898\u89e3\u51b3\u800c\u8bbe\u8ba1\u3002<\/p>\n\n\n\n

\u201c\u9cb6\u9c7c\u6548\u5e94\u201d\u663e\u73b0\u3002\u7ee7Deepseek R1 (Deepseek-Reasoner) \u63a8\u51fa\u8d85\u9ad8\u6027\u4ef7\u6bd4\u76840.14\u7f8e\u5143\u8f93\u5165\/2.19\u7f8e\u5143\u8f93\u51faAPI\u6bcf\u767e\u4e07Token\u4e4b\u540e\uff0c\u53e6\u4e00\u5bb6\u56fd\u5185AI\u521b\u4e1a\u516c\u53f8MiniMax\uff08\u7a00\u5b87\uff09\u4e5f\u4e8e1\u670815\u65e5\u63a8\u51faMiniMax-Text-01\uff0c\u57fa\u51c6\u68c0\u9a8c\u7ed3\u679c\u663e\u793a\uff0c\u6027\u80fd\u6bd4\u80a9GPT-4o\u548cClaude-3.5\uff0c\u4ef7\u683c\u4e3a\u8f93\u5165\u6bcf\u767e\u4e07Token 0.2\u7f8e\u5143\uff0c\u8f93\u51fa\u6bcf\u767e\u4e07Token 1.1\u7f8e\u5143\uff0c\u548cDeepSeek-V3\u51e0\u4e4e\u6301\u5e73\u3002\u57284\u670825\u65e5\u7684\u767e\u5ea6AI\u5f00\u53d1\u8005\u5927\u4f1a\u4e0a\uff0c\u53d1\u5e03\u4e86\u6587\u5fc3\u5927\u6a21\u578b4.5 Turbo\u548cX1 Turbo\u30024.5 Turbo\u6bcf\u767e\u4e07token\u7684\u8f93\u5165\u4ef7\u683c\u76f8\u5f53\u4e8e0.11 \u7f8e\u5143\uff0c\u8f93\u51fa\u4ef7\u683c0.44\u7f8e\u5143\uff0c\u4e3a DeepSeek-V3\u768440%\uff1bX1 Turbo\u8f93\u5165\u4ef7\u683c\u76f8\u5f53\u4e8e\u6bcf\u767e\u4e07token 0.14\u7f8e\u5143\uff0c\u8f93\u51fa\u4ef7\u683c0.55\u7f8e\u5143\uff0c\u4ec5\u4e3aDeepSeek-R1\u768425%\u3002<\/p>\n\n\n\n

06. <\/strong>\u4e3b\u6d41\u6a21\u578b\u7ade\u76f8\u89d2\u9010<\/strong><\/strong><\/p>\n\n\n\n

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2025\u5e742\u67082\u65e5\uff0cOpenAI \u53d1\u5e03 Deep Research \uff0c\u6210\u4e3a\u7ee7 Computer-Using Agent (CUA) \u7684\u65b0\u6a21\u578b\u9a71\u52a8\u7684Operator\u4e4b\u540e\u7684\u4e0b\u4e00\u4e2aagent\u3002Deep Research\u66f4\u50cf\u662f\u4f60\u7684\u7814\u7a76\u52a9\u7406\uff0c\u5728 ChatGPT \u91cc\u542f\u52a8 Deep Research \u6a21\u5f0f\uff0c\u544a\u8bc9\u5b83\u4f60\u60f3\u77e5\u9053\u4ec0\u4e48\uff08\u6bd4\u5982\uff1a\u300c\u5e2e\u6211\u7814\u7a76\u5e76\u62df\u5b9a\u67d0\u4ea7\u54c1\u7684\u5ba3\u4f20\u7b56\u7565\u300d\uff09\uff0c\u5b83\u5c31\u4f1a\u81ea\u52a8\u4e0a\u7f51\u641c\u7d22\u5e76\u5206\u6790\u6570\u767e\u4efd\u8d44\u6599\uff0c\u7136\u540e\u751f\u6210\u4e00\u4efd\u8be6\u7ec6\u7684\u62a5\u544a\uff0c\u8fde\u5f15\u7528\u6765\u6e90\u90fd\u6807\u6ce8\u5f97\u6e05\u6e05\u695a\u695a\u3002\u6839\u636e\u5b98\u65b9\u6d4b\u8bd5\u663e\u793a\uff0cDeep Research \u5728\u591a\u9879\u516c\u5f00\u8bc4\u4f30\u4e2d\u521b\u4e0b\u65b0\u9ad8\u7eaa\u5f55\u3002\u6bd4\u5982\u5728\u7efc\u5408\u6027\u96be\u9898\u6d4b\u8bd5 \u300c\u4eba\u7c7b\u7684\u6700\u540e\u8003\u9a8c\u300d\uff08Humanity\u2019s Last Exam\uff09 \u4e2d\uff0c\u53d6\u5f97 26.6% \u7684\u6b63\u786e\u7387\uff0c\u8fdc\u9ad8\u4e8e\u5f00\u6e90\u5bf9\u624b\u6a21\u578b DeepSeek-R1 \u7684 9.4%\uff0c\u4ee5\u53ca\u6700\u8fd1\u63a8\u51fa\u7684\u63a8\u7406\u6a21\u578b o3-mini-high \u7684 13%\u3002<\/p>\n\n\n\n

4\u670829\u65e5\uff0cOpenAI\u53c8\u5728ChatGPT\u4e0a\u65b0\u589e\u8d2d\u7269\u529f\u80fd\uff0c\u5305\u542b\u63a8\u8350\u7cbe\u9009\u5546\u54c1\u4e0e\u8d2d\u4e70\u6309\u94ae\uff0c\u5c06\u7528\u6237\u5bf9\u4e8e\u4ea7\u54c1\u7684\u641c\u7d22\u5f15\u6d41\u81f3\u63a8\u8350\u7684\u8d2d\u7269\u7f51\u7ad9\u4e0a\u6d88\u8d39\u3002\u65f6\u81f3\u4eca\u65e5\uff0c\u5927\u6a21\u578b\u9010\u6b65\u7a81\u7834\u670d\u52a1\u7684\u8fb9\u754c\uff0c\u8d8a\u6765\u8d8a\u63a5\u8fd1\u4e00\u4e2a\u771f\u6b63\u7684\u5168\u65b9\u4f4d\u52a9\u624b\uff0c\u96c6\u6210\u4e86\u591a\u4e2aAPP\u7684\u529f\u80fd\u4e3a\u4e00\u4f53\uff0c\u8ba9\u7528\u6237\u53ef\u4ee5\u76f4\u63a5\u901a\u8fc7\u4e0e\u6a21\u578b\u5bf9\u8bdd\uff0c\u8fdb\u884c\u5b66\u4e60\uff0c\u529e\u516c\uff0c\u8d2d\u7269\uff0c\u529e\u7406\u4e00\u5207\u4e8b\u7269…<\/p>\n","protected":false},"excerpt":{"rendered":"

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