{"id":91670,"date":"2025-04-30T13:50:43","date_gmt":"2025-04-30T05:50:43","guid":{"rendered":"https:\/\/metaegh.com\/?p=91670"},"modified":"2025-04-30T13:58:19","modified_gmt":"2025-04-30T05:58:19","slug":"ai-evolution-roadmap","status":"publish","type":"post","link":"https:\/\/metaegh.com\/en\/2025\/04\/30\/ai-evolution-roadmap\/","title":{"rendered":"AI Evolution Roadmap"},"content":{"rendered":"\n

\u6f14\u7b97\u6cd5\u7684\u53cd\u8986\u904b\u7b97\u66f4\u65b0\u5c64\u51fa\u4e0d\u7aae\u3002\u5728\u61c9\u7528\u5c64\u9762\uff0c\u5404\u5927\u6a21\u578b\u672c\u8eab\u5df2\u7d93\u53ef\u4ee5\u5be6\u73fe\u5feb\u554f\u5feb\u7b54\uff0c\u4f5c\u70ba\u500b\u4eba\u4f7f\u7528\u7684AI\u52a9\u624b\u4f86\u5e6b\u52a9\u89e3\u6c7a\u554f\u984c\u3002\u6b64\u5916\uff0c\u5404\u6a21\u578b\u4e5f\u53ef\u4ee5\u4f5c\u70baAPI\u4ecb\u9762\uff0c\u4f5c\u70ba\u8f14\u52a9\u751f\u7522\u5de5\u5177\uff0c\u61c9\u7528\u5728\u5404\u500b\u9818\u57df\u3002<\/p>\n\n\n\n

\u8207\u6c7a\u7b56\u5f0fAI\u4e0d\u540c\uff0c\u751f\u6210\u5f0fAI\u53ef\u4ee5\u7528\u65bc\u751f\u6210\u5404\u7a2e\u5404\u6a23\u7684\u5a92\u9ad4\u6d41\uff0c\u6bd4\u5982\u5716\u50cf\uff0c\u97f3\u6a02\uff0c\u8996\u983b\u7b49\u7b49\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u751f\u6210\u5f0fAI\u548c\u6a5f\u5668\u5b78\u7fd2\u7684\u878d\u5408\uff0c\u4e5f\u985b\u8986\u4e86\u5404\u500b\u884c\u696d\u7684\u904b\u884c\u7bc4\u5f0f, \u4f7f\u5f97\u6240\u6709\u91cd\u8907\u6027\u7684\u5de5\u4f5c\u90fd\u6709\u53ef\u80fd\u88abAI\u66ff\u4ee3\u3002Photoshop\u7121\u9700\u518d\u88ab\u521d\u7d1a\u7e6a\u5716\u5e2b\u5b78\u7fd2\uff0c\u666e\u901a\u7684\u77e5\u8b58\u6027\u554f\u8a62\u80fd\u5920\u88ab\u5927\u6a21\u578b\u8f15\u9b06\u89e3\u6c7a\uff0c\u751a\u81f3\u662f\u8907\u96dc\u7684\u6578\u5b78\u984c\u548c\u7a0b\u5f0f\u8a2d\u8a08\u4efb\u52d9\u4e5f\u53ef\u4ee5\u88ab\u7121\u8aa4\u5b8c\u6210\u3002<\/p>\n\n\n\n

\u6f38\u6f38\u5730AI\u6f14\u5316\u6210\uff0c\u53ef\u4ee5\u4e0d\u50c5\u50c5\u57f7\u884c\u55ae\u500b\u7c21\u55ae\u4efb\u52d9\uff0c\u800c\u662f\u4e00\u9023\u4e32\u7684\u8907\u96dc\u4efb\u52d9\u3002\u96a8\u8457AI \u88ab\u7528\u4f86\u751f\u6210\u4eba\u7684\u52d5\u4f5c\uff0c\u8a9e\u8a00\uff0c\u60c5\u611f\uff0c\u85e5\u7269\uff0c\u86cb\u767d\u8cea\u7684\u7d50\u69cb\uff0c \u201c\u89e3\u653e\u751f\u7522\u529b\u201d\u96e2\u4eba\u985e\u8d8a\u4f86\u8d8a\u8fd1 ..<\/p>\n\n\n\n

01. <\/strong>\u795e\u7d93\u7db2\u8def\u7684\u958b\u7aef\u8207\u767c\u5c55<\/strong><\/strong><\/p>\n\n\n\n

1943\u5e74\uff0c\u7f8e\u570b\u795e\u7d93\u79d1\u5b78\u5bb6\u9ea5\u5361\u6d1b\u514b\uff08Warren McCulloch\uff09\u548c\u908f\u8f2f\u5b78\u5bb6\u76ae\u8328\uff08Water Pitts\uff09\u63d0\u51fa\u795e\u7d93\u5143\u7684\u6578\u5b78\u6a21\u578b\u3002\u4ed6\u767c\u8868\u7684\u300a\u795e\u7d93\u6d3b\u52d5\u4e2d\u5167\u5728\u601d\u60f3\u7684\u908f\u8f2f\u6f14\u7b97\u300b\uff08A Logical Calculus of Ideas Immanent in Nervous Activity\uff09\u8ad6\u6587\u88ab\u8996\u70ba\u4eba\u5de5\u667a\u6167\u5b78\u79d1\u7684\u5960\u57fa\u77f3\u3002\u73fe\u5728\u5927\u71b1\u7684\u300c\u6df1\u5ea6\u5b78\u7fd2\u300d\uff0c\u524d\u8eab\u662f\u4eba\u5de5\u795e\u7d93\u7db2\u8def\uff0c\u800c\u5176\u57fa\u790e\u5c31\u662f\u795e\u7d93\u5143\u7684\u6578\u5b78\u6a21\u578b\u3002\u4eba\u5de5\u795e\u7d93\u7db2\u8def\u7684\u65e9\u671f\u7814\u7a76\u57281969\u5e74\u9032\u5165\u4e86\u9577\u671f\u505c\u6eef\u671f\uff0c\u56e0\u70ba\u4eba\u5011\u767c\u73fe\u4e4b\u524d\u63d0\u51fa\u7684\u611f\u77e5\u5668\u6a21\u578b\u7121\u6cd5\u6709\u6548\u89e3\u6c7a\u975e\u7dda\u6027\u554f\u984c\u3002\u6b64\u5f8c\uff0c\u88ab\u8b7d\u70ba\u201d\u6df1\u5ea6\u5b78\u7fd2\u4e4b\u7236\u201d\u7684\u5091\u4f5b\u745e\u00b7\u8f9b\u9813\uff08Geoffrey Hinton\uff09\u91cd\u65b0\u5c07\u9019\u4e00\u7814\u7a76\u63a8\u5411\u524d\u6cbf\u3002<\/p>\n\n\n\n

2014\u5e74\uff0c\u4f0a\u6069\u00b7\u53e4\u5fb7\u8cbb\u6d1b\u7b49\u4eba\u63d0\u51fa\u751f\u6210\u5c0d\u6297\u7db2\u8def\uff08Generative Adversarial Network\uff0c\u7c21\u7a31GAN\uff09\u3002\u4f5c\u70ba\u975e\u76e3\u7763\u5f0f\u5b78\u7fd2\u7684\u4e00\u7a2e\u65b9\u6cd5\uff0cGAN\u901a\u904e\u5169\u500b\u795e\u7d93\u7db2\u8def\u76f8\u4e92\u535a\u5f08\u7684\u65b9\u5f0f\u9032\u884c\u5b78\u7fd2\uff0c\u4f7f\u5f97\u751f\u6210\u7684\u5716\u50cf\u7d30\u7bc0\u66f4\u52a0\u903c\u771f\uff0c\u540c\u6642\u53ef\u4ee5\u5728\u5716\u50cf\u7de8\u8f2f\u65b9\u9762\u5be6\u73fe\u8cc7\u8a0a\u88dc\u5168\uff0c\u6bd4\u5982\u6839\u64da 2D \u8cc7\u6599\u751f\u6210 3D \u6a21\u578b\uff0c\u5c07\u4f4e\u89e3\u6790\u5ea6\u5716\u50cf\u8f49\u63db\u70ba\u9ad8\u89e3\u6790\u5ea6\u5716\u50cf\uff0c\u6216\u5c07\u9ed1\u767d\u5716\u50cf\u8f49\u63db\u70ba\u5f69\u8272\u5716\u50cf\u7b49\u3002<\/p>\n\n\n\n

\u795e\u7d93\u7db2\u8def\u4f5c\u70ba\u6700\u7d93\u5178\u7684\u6f14\u7b97\u6cd5\u6a21\u578b\uff0c\u7d93\u6b77\u4e86\u8af8\u591a\u6f14\u8b8a\u3002\u591a\u5e74\u4f86\uff0c\u5176\u4ed6\u6f14\u7b97\u6cd5\u7684\u7814\u7a76\u5c64\u51fa\u4e0d\u7aae\uff0c\u5305\u62ec\u6c7a\u7b56\u6a39\u3001\u96a8\u6a5f\u68ee\u6797\u6f14\u7b97\u6cd5\u3001\u908f\u8f2f\u56de\u6b78\u3001SVM\u3001\u6a38\u7d20\u8c9d\u8449\u65af\u3001K\u6700\u8fd1\u9130\u6f14\u7b97\u6cd5\u3001K\u5747\u503c\u6f14\u7b97\u6cd5\u3001Adaboost\u6f14\u7b97\u6cd5\u3001\u795e\u7d93\u7db2\u8def\u3001\u746a\u5f8b\u53ef\u592b\u7b49\u7b49\uff0c\u5728\u76e3\u7763\u5b78\u7fd2\u548c\u7121\u76e3\u7763\u5b78\u7fd2\u7684\u65b9\u5411\u4e0a\u90fd\u6709\u4e86\u591a\u6b21\u53cd\u8986\u904b\u7b97\u3002<\/p>\n\n\n\n

02. AI <\/strong>\u76ee\u524d\u6240\u7d93\u6b77\u7684\u968e\u6bb5<\/strong><\/strong><\/p>\n\n\n\n

1.\u65e9\u671f\u968e\u6bb5\uff081950s – 1960s\uff09\uff1a\u51fa\u73fe\u5c08\u5bb6\u7cfb\u7d71\u3001\u535a\u5f08\u8ad6\u3001\u6a5f\u5668\u5b78\u7fd2\u521d\u6b65\u7406\u8ad6\u3002<\/p>\n\n\n\n

2.\u77e5\u8b58\u9a45\u52d5\u6642\u671f\uff081970s – 1980s\uff09\uff1a\u5c08\u5bb6\u7cfb\u7d71\u3001\u77e5\u8b58\u8868\u793a\u3001\u81ea\u52d5\u63a8\u7406\u5f97\u5230\u767c\u5c55\u3002<\/p>\n\n\n\n

3.\u7d71\u8a08\u5b78\u7fd2\u6642\u671f\uff081990s – 2000s\uff09\uff1a\u6a5f\u5668\u5b78\u7fd2\u6f14\u7b97\u6cd5\u5982\u6c7a\u7b56\u6a39\u3001\u652f\u63f4\u5411\u91cf\u6a5f\u3001\u8c9d\u8449\u65af\u65b9\u6cd5\u7b49\u8208\u8d77\u3002<\/p>\n\n\n\n

4.\u6df1\u5ea6\u5b78\u7fd2\u6642\u671f\uff082010s – \u81f3\u4eca\uff09\uff1a\u6df1\u5ea6\u795e\u7d93\u7db2\u8def\u3001\u5377\u7a4d\u795e\u7d93\u7db2\u8def\u3001\u8ff4\u5708\u795e\u7d93\u7db2\u8def\u7b49\u6280\u8853\u5ee3\u6cdb\u61c9\u7528\u3002<\/p>\n\n\n\n

2000\u5e74\u5f8c\uff0c\u6df1\u5ea6\u5b78\u7fd2\u6162\u6162\u958b\u59cb\u5728\u5f71\u50cf\u8b58\u5225\u3001\u5c24\u5176\u662f\u624b\u5beb\u6578\u4f4d\u8fa8\u8b58\u4e0a\u5d84\u9732\u982d\u89d2\u3002<\/p>\n\n\n\n

\u2022 2007\u5e74\uff0cIBM\u958b\u767cWatson\uff0c\u4f5c\u70ba\u80fd\u5920\u4f7f\u7528\u81ea\u7136\u8a9e\u8a00(NLP)\u4f86\u56de\u7b54\u554f\u984c\u7684AI\u7cfb\u7d71\uff0c\u671f\u5f85\u80fd\u7528\u81ea\u7136\u8a9e\u8a00\u4f86\u7406\u89e3\u60a3\u8005\u7684\u96fb\u5b50\u75c5\u6b77\uff0c\u7136\u5f8c\u81ea\u52d5\u6aa2\u7d22\u8cc7\u6599\u5eab\uff0c\u627e\u5c0b\u9069\u5408\u7684\u6cbb\u7642\u65b9\u6848\u548c\u6700\u65b0\u91ab\u5b78\u6587\u737b\uff0c\u6700\u7d42\u5f97\u51fa\u75c5\u540d\u4e26\u63d0\u4f9b\u7d66\u91ab\u751f\u53c3\u8003\uff1b\u2022  2014\u5e74\uff0c\u4e0a\u8ff0\u63d0\u5230\u7684\u6a5f\u5668(\u5316\u540d\u70baEugene Goostman)\u6210\u529f\u901a\u904e\u5716\u9748\u6e2c\u8a66\uff1b\u2022  2016\u5e74\uff0cGoogle\u7684AlphaGo\u900f\u904e\u81ea\u6211\u5c0d\u5f08\uff0c\u9032\u884c\u6df1\u5ea6\u5b78\u7fd2\uff0c\u4e26\u64ca\u6557\u9802\u5c16\u8077\u696d\u68cb\u58eb\u674e\u4e16\u4e6d(\u4e5d\u6bb5)\uff0c\u6b63\u5f0f\u63ed\u958bAI\u6253\u6557\u4eba\u985e\u7684\u91cc\u7a0b\u7891\uff1b\u2022  2018 \u5e74 7 \u6708\uff0cDeepMind \u5728\u300c\u96f7\u795e\u4e4b\u9318 III \u7af6\u6280\u5834\u300d\uff08Quake III Arena\uff09\u596a\u65d7\u904a\u6232\u548c\u4eba\u985e\u96a8\u6a5f\u7d44\u968a\u6253\u5718\u6230\uff0c\u64ca\u6557\u4e86\u4eba\u985e\u73a9\u5bb6\u3002<\/p>\n\n\n\n

03. <\/strong>\u6df1\u5ea6\u5b78\u7fd2\u8207\u81ea\u7136\u80fd\u8a9e\u8a00\u8655\u7406<\/strong><\/strong><\/p>\n\n\n\n

Yann LeCun \u662f\u4e00\u540d\u6cd5\u88d4\u7f8e\u570b\u96fb\u8166\u79d1\u5b78\u5bb6\uff0c\u57281989~1998\u5e74\u9593\u767c\u8868\u4e86\u8a31\u591a\u95dc\u65bcCNN\u7684\u7814\u7a76\uff0c\u70ba\u73fe\u4ee3CNN\u67b6\u69cb\u6253\u4e0b\u5805\u5be6\u7684\u57fa\u790e\uff0c\u56e0\u6b64\u88ab\u7a31\u70ba\u5377\u7a4d\u795e\u7d93\u7db2\u8def\u4e4b\u7236\u3002\u4f5c\u70ba 2018 \u5e74\u7684\u5716\u9748\u734e\u5f97\u4e3b\u4e4b\u4e00\uff0c\u4ed6\u8207\u5091\u4f5b\u745e\u30fb\u8f9b\u9813\uff08Geoffrey Hinton\uff09\u3001\u7d04\u66f8\u4e9e\u30fb\u672c\u5409\u5967\uff08Yoshua Bengio\uff09\u4e00\u8d77\u88ab\u8b7d\u70ba \u201c\u6df1\u5ea6\u5b78\u7fd2\u4e09\u5de8\u982d\u201d\u3002<\/p>\n\n\n\n

2012\u5e74\uff0c\u5728Imagenet\u5716\u50cf\u8b58\u5225\u5927\u8cfd\u4e2d\uff0cHinton\u7d44\u7684\u8ad6\u6587\u300aImageNet Classification with Deep Convolutional Neural Networks\u300b\u4e2d\u63d0\u5230\u7684Alexnet\u5f15\u5165\u4e86\u5168\u65b0\u7684\u6df1\u5c64\u7d50\u69cb\u548cdropout\u65b9\u6cd5\uff0c\u4e00\u4e0b\u5b50\u628a\u932f\u8aa4\u7387\u5f9e25%\u4ee5\u4e0a\u63d0\u5347\u5230\u4e8615%\uff0c\u985b\u8986\u4e86\u5716\u50cf\u8b58\u5225\u9818\u57df\u4e4b\u5f8c\uff0cCNN\u958b\u59cb\u84ec\u52c3\u767c\u5c55\u3002<\/p>\n\n\n\n

CNN\u548cDNN\uff08\u6df1\u5ea6\u795e\u7d93\u7db2\u8def\uff0c\u53ef\u4ee5\u7406\u89e3\u70ba\u6709\u5f88\u591a\u96b1\u85cf\u5c64\u7684\u795e\u7d93\u7db2\u8def\u3002\uff09\u7684\u767c\u5c55\u62c9\u52d5\u4e86\u6574\u500b\u6a5f\u5668\u8996\u89ba\u7684\u5ee3\u6cdb\u61c9\u7528\uff0c\u6bd4\u5982\u7121\u4eba\u99d5\u99db\uff0c\u9762\u90e8\u8b58\u5225\uff0c\u81ea\u52d5\u63a7\u5236\uff0c\u4fe1\u865f\u8655\u7406\u7b49\u9818\u57df\u3002<\/p>\n\n\n\n

\u81ea\u7136\u8a9e\u8a00\u8655\u7406\u7684\u7814\u7a76\u59cb\u65bc1950\u5e74\u4ee3\u30022011\u5e74\u4ee5\u4f86\uff0c\u6df1\u5ea6\u5b78\u7fd2\u6280\u5de7\u5728\u81ea\u7136\u8a9e\u8a00\u8655\u7406\u65b9\u9762\u5c64\u5c64\u7a81\u7834\uff0c\u4f8b\u5982\u8a9e\u8a00\u6a21\u578b\u3001\u8a9e\u6cd5\u5206\u6790\u7b49\u7b49\u3002\u57282017\u5e74, \u7a40\u6b4c\u5927\u8166\u5718\u968a\u767c\u8868\u8ad6\u6587  \u201cAttention Is All You Need\u201d\uff0c\u5c07Attention\u7684\u601d\u60f3\u767c\u63ee\u5230\u6975\u81f4\u3002\u8a72\u8ad6\u6587\u63d0\u51fa\u7684Transformer\u6a21\u578b\uff0c\u57fa\u65bcencoder-decoder\u67b6\u69cb\uff0c\u62cb\u68c4\u4e86\u50b3\u7d71\u7684RNN\u3001CNN\u6a21\u578b\uff0c\u50c5\u7531Attention\u6a5f\u5236\u5be6\u73fe\u3002\u4e26\u4e14\u7531\u65bcencoder\u7aef\u63a1\u7528\u5e73\u884c\u8a08\u7b97\uff0c\u8a13\u7df4\u6642\u9593\u5927\u5927\u7e2e\u77ed\u3002<\/p>\n\n\n\n

Transformer\u6a21\u578b\u5ee3\u6cdb\u61c9\u7528\u65bcNLP\u9818\u57df\uff0c\u6a5f\u5668\u7ffb\u8b6f\u3001\u6587\u672c\u6458\u8981\u3001\u554f\u7b54\u7cfb\u7d71\u7b49\u7b49\u3002\u5728Google\u5b78\u8853\u641c\u5c0b\u4e0a\u7d22\u5f15\u7684\u51fa\u7248\u7269\u7684\u6a19\u984c, \u81ea\u7136\u8a9e\u8a00\u8655\u7406\u6a19\u8a18\u5316(Tokenization)\u5f9e\u6700\u9ad8\u983b\u7387\u5230\u6700\u4f4e\u983b\u7387\u5c0d\u642d\u914d\u9032\u884c\u6392\u5e8f\u3002Transformer\u5c07\u8cc7\u6599\u9593\u7684\u95dc\u4fc2\u8996\u70ba\u91cd\u8981\u8b8a\u6578\uff0c\u901a\u904e\u5c0d\u7279\u5b9a\u8cc7\u8a0a\u7d66\u4e88\u66f4\u591a\u201d\u95dc\u6ce8\u201d\uff0c\u5b83\u53ef\u4ee5\u5b78\u7fd2\u8cc7\u6599\u4e4b\u9593\u7684\u8907\u96dc\u95dc\u4fc2\u548c\u6a21\u5f0f\uff0c\u6355\u6349\u66f4\u591a\u91cd\u8981\u8cc7\u8a0a\uff0c\u5f9e\u800c\u7522\u751f\u66f4\u9ad8\u54c1\u8cea\u7684\u8f38\u51fa\u7d50\u679c\u3002<\/p>\n\n\n\n

04. GPT<\/strong>\u6a21\u578b\u7684\u554f\u4e16\u548c\u7af6\u722d<\/strong><\/strong><\/p>\n\n\n\n

GPT 1.0\u9996\u6b21\u65bc2018\u5e74\u767c\u4f48\u30022021\u5e741\u6708\uff0cOpenAI\u767c\u4f48\u4e86\u6587\u672c\u751f\u6210\u5716\u50cf\u7684\u6a21\u578b DALL-E\u3002\u548cGPT 3\u4e00\u6a23\uff0cDALL\u00b7E\u4e5f\u662f\u57fa\u65bcTransformer\u7684\u8a9e\u8a00\u6a21\u578b\uff0c\u5b83\u540c\u6642\u63a5\u53d7\u6587\u672c\u548c\u5716\u50cf\u8cc7\u6599\u4e26\u751f\u6210\u5716\u50cf\u30022022 \u5e74 11 \u6708 30 \u65e5\uff0cOpenAI \u63a8\u51fa\u4e86 ChatGPT 3.5\uff0c\u62c9\u958b\u4e86\u7b97\u529b\u57fa\u5efa\u7684\u5e8f\u5e55\u3002\u50c5\u50c5\u82b1\u4e865\u5929\u6642\u9593\uff0cChatGPT\u7684\u8a3b\u518a\u7528\u6236\u6578\u91cf\u9054\u5230100\u842c\uff0c\u5275\u4e86\u4e92\u806f\u7db2\u6b77\u53f2\u7d00\u9304\u3002\u5169\u500b\u6708\u5f8c\uff0c2023\u5e741\u6708\uff0cChatGPT\u7684\u6708\u6d3b\u7528\u6236\u6578\u91cf\u9054\u52301\u5104\u3002<\/p>\n\n\n\n

2012\u5e74\uff0cImagenet\u5716\u50cf\u8b58\u5225\u5927\u8cfd\u4e2d\uff0c\u8a72\u516c\u53f8\u7684 300 \u591a\u540d\u54e1\u5de5\uff08\u8cc7\u6599\u622a\u6b62\u5230 2023 \u5e74 1 \u6708\uff09\u4e2d\u6709\u8a31\u591a\u4f86\u81ea\u7a40\u6b4c\u548c DeepMind \u7684\u6bcd\u516c\u53f8 Alphabet\u3002\u8cc7\u6599\u986f\u793a\uff0cOpenAI \u76ee\u524d\u96c7\u50ad\u4e86\u7d04 59 \u540d\u7a40\u6b4c\u524d\u54e1\u5de5\u548c\u7d04 34 \u540d Meta \u524d\u54e1\u5de5\uff0c\u540c\u6642\u5305\u62ec\u5e7e\u540d\u860b\u679c\u548c\u4e9e\u99ac\u7684\u524d\u905c\u54e1\u5de5\u3002<\/p>\n\n\n\n

\u5728GPT\u6a6b\u7a7a\u51fa\u4e16\u7684\u9019\u5169\u5e74\u591a\u88e1\uff0c\u5404\u5927\u96f2\u670d\u52d9\u53ca\u6a21\u578b\u5ee0\u5546\u722d\u5148\u7af6\u8cfd\uff0c\u6bd4\u62fc\u5927\u6a21\u578b\u7684\u6548\u679c\u548c\u512a\u5316\u80fd\u529b\u3002\u5176\u4e2d\u7684\u5e7e\u5bb6\u4e3b\u8981\u6a21\u578b\u5ee0\u5546\u767c\u4f48\u7684\u6a21\u578b\u9032\u5ea6\u5982\u4e0b\u3002
OpenAI GPT-3\uff1a\u767c\u4f48\u65bc2020\u5e74\uff0c\u662f\u4e00\u500b\u5177\u67091750\u5104\u53c3\u6578\u7684\u8a9e\u8a00\u6a21\u578b\uff0c\u5ee3\u6cdb\u61c9\u7528\u4e8e\u6587\u672c\u751f\u6210\u3001\u7ffb\u8b6f\u3001\u554f\u7b54\u7b49\u4efb\u52d9\u3002GPT-4\uff1a\u767c\u4f48\u65bc2023\u5e74\uff0c\u9032\u4e00\u6b65\u63d0\u5347\u4e86\u6a21\u578b\u7684\u80fd\u529b\uff0c\u652f\u63f4\u66f4\u8907\u96dc\u7684\u4efb\u52d9\u548c\u66f4\u9577\u7684\u4e0a\u4e0b\u6587\u8655\u7406\u3002<\/p>\n\n\n\n

Google BERT\uff1a\u767c\u4f48\u65bc2018\u5e74\uff0c\u662f\u4e00\u7a2e\u96d9\u5411\u7de8\u78bc\u5668\u8868\u793a\u7684\u8b8a\u63db\u5668\u6a21\u578b\uff0c\u5ee3\u6cdb\u7528\u65bc\u81ea\u7136\u8a9e\u8a00\u7406\u89e3\u4efb\u52d9\u3002PaLM\uff1a\u767c\u4f48\u65bc2022\u5e74\uff0c\u5177\u67095400\u5104\u53c3\u6578\uff0c\u662fGoogle\u8fc4\u4eca\u70ba\u6b62\u6700\u5927\u7684\u8a9e\u8a00\u6a21\u578b\uff0c\u5c08\u6ce8\u65bc\u63d0\u9ad8\u8a9e\u8a00\u7406\u89e3\u548c\u751f\u6210\u80fd\u529b\u3002Gemini\uff1a\u767c\u4f48\u65bc2023\u5e74\uff0c\u9032\u4e00\u6b65\u63d0\u5347\u4e86\u591a\u6a21\u614b\u8655\u7406\u80fd\u529b\u3002<\/p>\n\n\n\n

Meta (Facebook) LLaMA\uff1a\u767c\u4f48\u65bc2023\u5e74\uff0c\u662f\u4e00\u7a2e\u7fbd\u91cf\u7d1a\u7684\u5927\u6a21\u578b\uff0c\u65e8\u5728\u63d0\u4f9b\u9ad8\u6548\u7684\u8a9e\u8a00\u8655\u7406\u80fd\u529b\u3002LLaMA 2\uff1a\u767c\u4f48\u4e8e2024\u5e74\uff0c\u589e\u52a0\u4e86\u53c3\u6578\u898f\u6a21\u548c\u591a\u6a21\u614b\u8655\u7406\u80fd\u529b<\/p>\n\n\n\n

\u5fae\u8edf Turing-NLG\uff1a\u767c\u4f48\u65bc2020\u5e74\uff0c\u662f\u4e00\u500b\u5177\u6709170\u5104\u53c3\u6578\u7684\u751f\u6210\u6a21\u578b\uff0c\u7528\u65bc\u589e\u5f37\u5fae\u8edf\u7684\u8a9e\u8a00\u8655\u7406\u80fd\u529b\u3002Turing-Next\uff1a\u5f8c\u7e8c\u7248\u672c\u57282022\u5e74\u63a8\u51fa\uff0c\u9032\u4e00\u6b65\u512a\u5316\u4e86\u6a21\u578b\u6027\u80fd\u548c\u61c9\u7528\u5834\u666f\u3002<\/p>\n\n\n\n

Anthropic Claude\uff1a\u767c\u4f48\u65bc2023\u5e74\uff0c\u662f\u4e00\u500b\u5c08\u6ce8\u65bc\u5b89\u5168\u6027\u548c\u502b\u7406\u7684\u8a9e\u8a00\u6a21\u578b\uff0c\u65e8\u5728\u63d0\u4f9b\u66f4\u5b89\u5168\u7684\u4eba\u5de5\u667a\u6167\u670d\u52d9\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\u767c\u4f48DeepSeek-R1\u6a21\u578b\uff0c\u5c08\u9580\u9069\u7528\u65bc\u6578\u5b78\u3001\u7de8\u78bc\u548c\u908f\u8f2f\u7b49\u4efb\u52d9\uff0c\u6027\u80fd\u5c0d\u6a19OpenAI o1\u3002\u7531\u65bcDeepseek\u5728MoE\uff0cKV cache\uff0c\u6a21\u578b\u84b8\u993e\uff0c\u8ca0\u8f09\u5747\u8861\uff0c\u751a\u81f3\u662fH800\u6548\u80fd\u65b9\u9762\u7684\u6975\u81f4\u63a2\u7d22\uff0c\u4f7f\u5f97DeepSeek-R1\u7684API\u5b9a\u50f9\u50c5\u70baOpenAI o1\u6a21\u578b\u904b\u884c\u6210\u672c\u76843%\uff0c\u5f9e\u6b64\u62c9\u958b\u4e86\u5404\u5927\u6a21\u578b\u5ee0\u5546API\u7af6\u76f8\u964d\u50f9\u7684\u5e8f\u5e55\u3002<\/p>\n\n\n\n

API\u7684\u8a08\u50f9\u65b9\u5f0f\u4ee5token\u70ba\u55ae\u4f4d\u3002\u5176\u4e2d\uff0c\u4e00\u500b\u82f1\u6587\u5b57\u6bcd\u7d04\u70ba0.3 token\uff0c\u4e00\u500b\u4e2d\u6587\u5b57\u6bcd\u7d04\u70ba0.6 -1 token\uff0c\u901a\u5e38\u4e00\u8f2a\u5c0d\u8a71\u9700\u8981\u6d88\u8017\u7684\u5e7e\u767e\u5de6\u53f3\u7684token\uff0c\u4e00\u6bb5\u9700\u8981\u601d\u7dad\u93c8\u7684\u554f\u7b54\u53ef\u80fd\u6d88\u8017\u904e\u842ctoken\u3002<\/p>\n\n\n\n

\u8abf\u7528\u6a21\u578b\u6642\u7522\u751f\u7684\u8cbb\u7528 = \u8f38\u5165\u8abf\u7528\u6d88\u8017\u91cf \u00d7\u8f38\u5165\u55ae\u50f9 + \u8f38\u51fa\u8abf\u7528\u6d88\u8017\u91cf \u00d7\u8f38\u51fa\u55ae\u50f9\uff0c\u5982\u679c\u9700\u8981\u806f\u7e6b\u4e0a\u4e0b\u6587\uff0c\u5247\u6703\u5c07\u4e0a\u4e0b\u6587\u7684token\u4e00\u4f75\u8a08\u7b97\u3002\u958b\u555f Context Cache \u6a21\u5f0f\u6642\uff0c\u4f7f\u7528\u8005\u7684\u8acb\u6c42\u88ab\u7cfb\u7d71\u5224\u65b7\u662f\u5426\u547d\u4e2d\u4e86 Cache\uff0c\u88ab\u547d\u4e2d\u7684 Token \u6703\u6309\u7167 cached_token \u4f86\u8a08\u8cbb\uff0ccached_token\u7684\u55ae\u50f9\u70bainput_token\u55ae\u50f9\u768440%\u3002\u7136\u800c\uff0c\u4e0a\u4e0b\u6587\u7de9\u5b58\u7684\u547d\u4e2d\u6982\u7387\u4e26\u4e0d\u662f100%\uff0c\u5373\u4f7f\u662f\u4e0a\u4e0b\u6587\u5b8c\u5168\u4e00\u81f4\u7684\u8acb\u6c42\uff0c\u4e5f\u5b58\u5728\u7121\u6cd5\u547d\u4e2d\u7684\u6982\u7387\uff0c\u547d\u4e2d\u6982\u7387\u4f9d\u64da\u7cfb\u7d71\u5224\u65b7\u800c\u5b9a\u3002<\/p>\n\n\n\n

\u79d1\u5b78\u5bb6Yann LeCun \u8a55\u50f9\uff0cDeepseek\u6a21\u578b\u7684\u6210\u529f\u4e26\u4e0d\u50c5\u662f\u4e2d\u570b\u7684\u6210\u529f\uff0c\u800c\u662f\u958b\u6e90\u6a21\u578b\u7684\u6210\u529f\uff0c\u6bcf\u500b\u4eba\u90fd\u6703\u56e0\u6b64\u53d7\u76ca\u3002DeepSeek \u65bc 2025 \u5e74 1 \u6708\u53c8\u767c\u4f48\u4e86\u6700\u65b0\u7684\u958b\u6e90 LLM DeepSeek-R1\uff0c\u5c08\u70ba\u908f\u8f2f\u63a8\u7406\u3001\u6578\u5b78\u63a8\u7406\u548c\u5373\u6642\u554f\u984c\u89e3\u6c7a\u800c\u8a2d\u8a08\u3002<\/p>\n\n\n\n

\u201c\u9bf0\u9b5a\u6548\u61c9\u201d\u986f\u73fe\u3002\u7e7cDeepseek R1 (Deepseek-Reasoner) \u63a8\u51fa\u8d85\u9ad8\u6027\u50f9\u6bd4\u76840.14\u7f8e\u5143\u8f38\u5165\/2.19\u7f8e\u5143\u8f38\u51faAPI\u6bcf\u767e\u842cToken\u4e4b\u5f8c\uff0c\u53e6\u4e00\u5bb6\u570b\u5167AI\u5275\u696d\u516c\u53f8MiniMax\uff08\u7a00\u5b87\uff09\u4e5f\u65bc1\u670815\u65e5\u63a8\u51faMiniMax-Text-01\uff0c\u57fa\u6e96\u6e2c\u8a66\u7d50\u679c\u986f\u793a\uff0c\u6027\u80fd\u6bd4\u80a9GPT-4o\u548cClaude-3.5\uff0c\u50f9\u683c\u70ba\u8f38\u5165\u6bcf\u767e\u842cToken 0.2\u7f8e\u5143\uff0c\u8f38\u51fa\u6bcf\u767e\u842cToken 1.1\u7f8e\u5143\uff0c\u548cDeepSeek-V3\u5e7e\u4e4e\u6301\u5e73\u3002\u57284\u670825\u65e5\u7684\u767e\u5ea6AI\u958b\u767c\u8005\u5927\u6703\u4e0a\uff0c\u767c\u4f48\u4e86\u6587\u5fc3\u5927\u6a21\u578b4.5 Turbo\u548cX1 Turbo\u30024.5 Turbo\u6bcf\u767e\u842ctoken\u7684\u8f38\u5165\u50f9\u683c\u76f8\u7576\u65bc0.11 \u7f8e\u5143\uff0c\u8f38\u51fa\u50f9\u683c0.44\u7f8e\u5143\uff0c\u70ba DeepSeek-V3\u768440%\uff1bX1 Turbo\u8f38\u5165\u50f9\u683c\u76f8\u7576\u65bc\u6bcf\u767e\u842ctoken 0.14\u7f8e\u5143\uff0c\u8f38\u51fa\u50f9\u683c0.55\u7f8e\u5143\uff0c\u50c5\u70baDeepSeek-R1\u768425%\u3002<\/p>\n\n\n\n

06. <\/strong>\u4e3b\u6d41\u6a21\u578b\u7af6\u76f8\u89d2\u9010<\/strong><\/strong><\/p>\n\n\n\n

\u76ee\u524d\u5e02\u5834\u4e0a\u7684\u4e3b\u6d41\u958b\u6e90\u6a21\u578b\u6709\uff1aDeepseek\uff0c LLaMA\uff0c\u5143\u5bf6\uff0c\u8c46\u5305\u7b49\u3002\u9589\u6e90\u6a21\u578b\u6709: GPT\uff0cClaude\uff0cGemini\uff0cMistral\uff0cGrok\u7b49\u3002\u5404\u500b\u6a21\u578b\u5f9e\u6027\u80fd\u6bd4\u62fc\u7684\u6230\u5834\uff0c\u53c8\u8f49\u6230\u5230\u4e86\u50f9\u683c\u6bd4\u62fc\u7684\u8cfd\u9053\u3002\u5373\u4f7f\u662f\u9019\u6a23\uff0c\u5404\u500b\u6a21\u578b\u5ee0\u5546\u5411\u524d\u63a2\u7d22\u7684\u8173\u6b65\u4e26\u672a\u505c\u6b62\uff0c\u5f9e\u6587\u5b57\u5230\u591a\u6a21\u614b\uff0c\u5404\u5bb6\u6a21\u578b\u5728\u7d30\u5206\u8cfd\u9053\u4e0a\u8d8a\u4f86\u8d8a\u5377\u201c\u7d30\u7bc0\u201d\u3002\u6bd4\u5982GPT-4o\u5c31\u53ef\u4ee5\u76f4\u63a5\u7406\u89e3\u8a9e\u97f3\u548c\u8996\u89ba\u8f38\u5165\uff0c\u4e26\u5728\u8a9e\u97f3\u7684\u6a21\u5f0f\u4e0b\u5373\u6642\u4ea4\u4e92\uff0c\u9084\u53ef\u4ee5\u6839\u64da\u6307\u4ee4\u7cbe\u51c6\u751f\u6210\u96fb\u5f71\u756b\u8cea\u7684\u5716\u50cf\u3002<\/p>\n\n\n\n

2025\u5e742\u67082\u65e5\uff0cOpenAI \u767c\u4f48 Deep Research \uff0c\u6210\u70ba\u7e7c Computer-Using Agent (CUA) \u7684\u65b0\u6a21\u578b\u9a45\u52d5\u7684Operator\u4e4b\u5f8c\u7684\u4e0b\u4e00\u500bagent\u3002Deep Research\u66f4\u50cf\u662f\u4f60\u7684\u7814\u7a76\u52a9\u7406\uff0c\u5728 ChatGPT \u88e1\u555f\u52d5 Deep Research \u6a21\u5f0f\uff0c\u544a\u8a34\u5b83\u4f60\u60f3\u77e5\u9053\u4ec0\u9ebc\uff08\u6bd4\u5982\uff1a\u300c\u5e6b\u6211\u7814\u7a76\u4e26\u64ec\u5b9a\u67d0\u7522\u54c1\u7684\u5ba3\u50b3\u7b56\u7565\u300d\uff09\uff0c\u5b83\u5c31\u6703\u81ea\u52d5\u4e0a\u7db2\u641c\u7d22\u4e26\u5206\u6790\u6578\u767e\u4efd\u8cc7\u6599\uff0c\u7136\u5f8c\u751f\u6210\u4e00\u4efd\u8a73\u7d30\u7684\u5831\u544a\uff0c\u9023\u5f15\u7528\u4f86\u6e90\u90fd\u6a19\u6ce8\u5f97\u6e05\u6e05\u695a\u695a\u3002\u6839\u64da\u5b98\u65b9\u6e2c\u8a66\u986f\u793a\uff0cDeep Research \u5728\u591a\u9805\u516c\u958b\u8a55\u4f30\u4e2d\u5275\u4e0b\u65b0\u9ad8\u7d00\u9304\u3002\u6bd4\u5982\u5728\u7d9c\u5408\u6027\u96e3\u984c\u6e2c\u8a66 \u300c\u4eba\u985e\u7684\u6700\u5f8c\u8003\u9a57\u300d\uff08Humanity\u2019s Last Exam\uff09 \u4e2d\uff0c\u53d6\u5f97 26.6% \u7684\u6b63\u78ba\u7387\uff0c\u9060\u9ad8\u65bc\u958b\u6e90\u5c0d\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\u8cfc\u7269\u529f\u80fd\uff0c\u5305\u542b\u63a8\u85a6\u7cbe\u9078\u5546\u54c1\u8207\u8cfc\u8cb7\u6309\u9215\uff0c\u5c07\u4f7f\u7528\u8005\u5c0d\u65bc\u7522\u54c1\u7684\u641c\u7d22\u5f15\u6d41\u81f3\u63a8\u85a6\u7684\u8cfc\u7269\u7db2\u7ad9\u4e0a\u6d88\u8cbb\u3002\u6642\u81f3\u4eca\u65e5\uff0c\u5927\u6a21\u578b\u9010\u6b65\u7a81\u7834\u670d\u52d9\u7684\u908a\u754c\uff0c\u8d8a\u4f86\u8d8a\u63a5\u8fd1\u4e00\u500b\u771f\u6b63\u7684\u5168\u65b9\u4f4d\u52a9\u624b\uff0c\u96c6\u6210\u4e86\u591a\u500bAPP\u7684\u529f\u80fd\u70ba\u4e00\u9ad4\uff0c\u8b93\u4f7f\u7528\u8005\u53ef\u4ee5\u76f4\u63a5\u901a\u904e\u8207\u6a21\u578b\u5c0d\u8a71\uff0c\u9032\u884c\u5b78\u7fd2\uff0c\u8fa6\u516c\uff0c\u8cfc\u7269\uff0c\u8fa6\u7406\u4e00\u5207\u4e8b\u7269…<\/p>\n","protected":false},"excerpt":{"rendered":"

Chinese version only<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[309],"tags":[],"yoast_head":"\nAI Evolution Roadmap - META ELEPHANT<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/metaegh.com\/en\/2025\/04\/30\/ai-evolution-roadmap\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Evolution Roadmap - META ELEPHANT\" \/>\n<meta property=\"og:description\" content=\"Chinese version only\" \/>\n<meta property=\"og:url\" content=\"https:\/\/metaegh.com\/en\/2025\/04\/30\/ai-evolution-roadmap\/\" \/>\n<meta property=\"og:site_name\" content=\"META ELEPHANT\" \/>\n<meta property=\"article:published_time\" content=\"2025-04-30T05:50:43+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-04-30T05:58:19+00:00\" \/>\n<meta name=\"author\" content=\"metaegh-webmaster\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"metaegh-webmaster\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/metaegh.com\/en\/2025\/04\/30\/ai-evolution-roadmap\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/metaegh.com\/en\/2025\/04\/30\/ai-evolution-roadmap\/\"},\"author\":{\"name\":\"metaegh-webmaster\",\"@id\":\"https:\/\/metaegh.com\/en\/#\/schema\/person\/a5fb96de695c33e37be7b275e6ee556b\"},\"headline\":\"AI Evolution Roadmap\",\"datePublished\":\"2025-04-30T05:50:43+00:00\",\"dateModified\":\"2025-04-30T05:58:19+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/metaegh.com\/en\/2025\/04\/30\/ai-evolution-roadmap\/\"},\"wordCount\":241,\"publisher\":{\"@id\":\"https:\/\/metaegh.com\/en\/#organization\"},\"articleSection\":[\"\u200aIndustries\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/metaegh.com\/en\/2025\/04\/30\/ai-evolution-roadmap\/\",\"url\":\"https:\/\/metaegh.com\/en\/2025\/04\/30\/ai-evolution-roadmap\/\",\"name\":\"AI Evolution Roadmap - 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