{"id":256,"date":"2026-05-22T08:02:58","date_gmt":"2026-05-22T00:02:58","guid":{"rendered":"http:\/\/climbing.top\/index.php\/2026\/05\/22\/day06zaoke-jiqixuexivsshenduxuexidaquantaoxiaoquanyicijiangqingchu\/"},"modified":"2026-05-22T08:02:58","modified_gmt":"2026-05-22T00:02:58","slug":"day06zaoke-jiqixuexivsshenduxuexidaquantaoxiaoquanyicijiangqingchu","status":"publish","type":"post","link":"https:\/\/climbing.top\/index.php\/2026\/05\/22\/day06zaoke-jiqixuexivsshenduxuexidaquantaoxiaoquanyicijiangqingchu\/","title":{"rendered":"Day06\u2014\u2014\u65e9\u8bfe \u673a\u5668\u5b66\u4e60vs\u6df1\u5ea6\u5b66\u4e60\uff1a\u5927\u5708\u5957\u5c0f\u5708\uff0c\u4e00\u6b21\u8bb2\u6e05\u695a"},"content":{"rendered":"
\n

\ud83d\udcda AI\u4e13\u5bb6\u517b\u6210\u8ba1\u5212 \u00b7 \u7b2c10\u7bc7\uff08\u5171140\u7bc7\uff09<\/p>\n<\/blockquote>\n

\n

\u23f1\ufe0f \u9605\u8bfb\u65f6\u95f4\uff1a10-15\u5206\u949f<\/p>\n<\/blockquote>\n

\n

\ud83c\udfaf \u9002\u5408\u4eba\u7fa4\uff1a\u96f6\u57fa\u7840\uff0c\u60f3\u641e\u6e05\u695aAI\u6280\u672f\u5bb6\u65cf\u5173\u7cfb\u7684\u4f60<\/p>\n<\/blockquote>\n

\n

\ud83c\udf19 \u4e0a\u7bc7\u56de\u987e\uff1a\u6628\u665a\u6211\u4eec\u505a\u4e86\u4ec0\u4e48<\/h2>\n

\u6628\u665a\u7684\u665a\u8bfe\uff0c\u6211\u4eec\u7528Google Teachable Machine\u4eb2\u624b\u8bad\u7ec3\u4e86\u7b2c\u4e00\u4e2aAI\u6a21\u578b\uff01\u6765\u56de\u987e3\u4e2a\u6838\u5fc3\u8981\u70b9\uff1a<\/p>\n

1. \u6a21\u578b\u8bad\u7ec3\u7684\u6838\u5fc3\u6d41\u7a0b\u662f”\u6570\u636e\u2192\u8bad\u7ec3\u2192\u63a8\u7406”<\/strong><\/p>\n

\u4f60\u7528\u6444\u50cf\u5934\u5f55\u4e86\u624b\u52bf\u7167\u7247\uff08\u6570\u636e\uff09\uff0c\u70b9\u51fbTrain Model\uff08\u8bad\u7ec3\uff09\uff0c\u7136\u540eAI\u5c31\u80fd\u5b9e\u65f6\u8bc6\u522b\u65b0\u624b\u52bf\uff08\u63a8\u7406\uff09\u3002\u8fd9\u4e2a\u4e09\u6b65\u8d70\u7684\u6d41\u7a0b\uff0c\u662f\u6240\u6709AI\u7cfb\u7edf\u7684\u901a\u7528\u8303\u5f0f\u3002<\/p>\n

<\/p>\n

2. \u8fc1\u79fb\u5b66\u4e60\u662fAI\u6c11\u4e3b\u5316\u7684\u5173\u952e<\/strong><\/p>\n

Teachable Machine\u4e4b\u6240\u4ee5\u80fd30\u79d2\u8bad\u7ec3\u51fa\u6a21\u578b\uff0c\u662f\u56e0\u4e3a\u5b83\u7ad9\u5728\u4e86MobileNet\u8fd9\u4e2a”\u5de8\u4eba”\u7684\u80a9\u8180\u4e0a\u3002\u4f60\u4e0d\u9700\u8981\u4ece\u96f6\u6559AI\u4ec0\u4e48\u662f”\u8fb9\u7f18”\u548c”\u7eb9\u7406”\uff0c\u53ea\u9700\u8981\u6559\u5b83”\u8fd9\u79cd\u7eb9\u7406\u7ec4\u5408=\u5927\u62c7\u6307”\u3002<\/p>\n

3. \u6570\u636e\u8d28\u91cf\u51b3\u5b9a\u6a21\u578b\u8d28\u91cf<\/strong><\/p>\n

\u591a\u89d2\u5ea6\u3001\u591a\u6837\u5316\u7684\u8bad\u7ec3\u6570\u636e\uff0c\u6bd4\u5355\u7eaf\u589e\u52a0\u6570\u91cf\u66f4\u91cd\u8981\u3002\u4f60\u6362\u4e86\u89d2\u5ea6\u3001\u6362\u4e86\u8ddd\u79bb\u5f55\u7684\u624b\u52bf\u7167\u7247\uff0c\u8ba9\u6a21\u578b\u53d8\u5f97\u66f4”\u806a\u660e”\u3002<\/p>\n

\n

\ud83d\udca1 \u6838\u5fc3\u6536\u83b7\uff1a\u6628\u665a\u4f60\u4eb2\u624b\u4f53\u9a8c\u4e86AI\u7684\u5b8c\u6574\u5de5\u4f5c\u6d41\u7a0b\u3002\u4eca\u5929\u6211\u4eec\u6765\u641e\u660e\u767d\u2014\u2014\u8fd9\u4e9b\u6280\u672f\u80cc\u540e\u7684”\u5bb6\u65cf\u5173\u7cfb”\u3002<\/p>\n<\/blockquote>\n

\n

\ud83c\udfaf \u4eca\u5929\u7684\u4e3b\u9898\uff1a\u4e00\u5f20\u56fe\u641e\u61c2AI\u6280\u672f\u5bb6\u65cf<\/h2>\n

\u5b66\u4e865\u5929\u4e86\uff0c\u4f60\u53ef\u80fd\u5df2\u7ecf\u542c\u8fc7\u8fd9\u4e9b\u8bcd\uff1a<\/p>\n

\u4eba\u5de5\u667a\u80fd\u3001\u673a\u5668\u5b66\u4e60\u3001\u6df1\u5ea6\u5b66\u4e60\u3001\u795e\u7ecf\u7f51\u7edc\u3001\u5927\u6a21\u578b\u2026\u2026<\/p>\n

\u5b83\u4eec\u5230\u5e95\u662f\u4ec0\u4e48\u5173\u7cfb\uff1f\u8c01\u5305\u542b\u8c01\uff1f\u8c01\u6bd4\u8c01”\u9ad8\u7ea7”\uff1f<\/p>\n

\u4eca\u5929\uff0c\u6211\u8981\u7528\u4e00\u5f20\u56fe\u5e2e\u4f60\u5f7b\u5e95\u7406\u6e05\u8fd9\u4e2a\u5173\u7cfb\u3002<\/strong><\/p>\n

\u5f88\u591a\u79d1\u666e\u6587\u7ae0\u559c\u6b22\u628a\u8fd9\u51e0\u4e2a\u6982\u5ff5\u6df7\u7740\u7528\uff0c\u641e\u5f97\u4e91\u91cc\u96fe\u91cc\u3002\u5176\u5b9e\u5b83\u4eec\u7684\u5173\u7cfb\u975e\u5e38\u7b80\u5355\u2014\u2014\u5927\u5708\u5957\u5c0f\u5708<\/strong>\u3002<\/p>\n

\n

\ud83d\udd35 \u6700\u5916\u9762\u7684\u5927\u5708\uff1a\u4eba\u5de5\u667a\u80fd\uff08AI\uff09<\/h2>\n

\u4eba\u5de5\u667a\u80fd\uff08Artificial Intelligence\uff09<\/strong> \u662f\u6700\u5927\u7684\u90a3\u4e2a\u5708\u3002<\/p>\n

\u5b83\u7684\u5b9a\u4e49\u5f88\u7b80\u5355\uff1a\u8ba9\u673a\u5668\u8868\u73b0\u5f97\u50cf\u6709\u667a\u80fd\u4e00\u6837\u3002<\/strong><\/p>\n

\u6ce8\u610f\uff0c\u8fd9\u91cc\u8bf4\u7684\u662f”\u8868\u73b0\u5f97\u50cf”\uff0c\u4e0d\u662f”\u771f\u7684\u6709”\u3002\u4f60\u7684\u626b\u5730\u673a\u5668\u4eba\u4f1a\u907f\u969c\uff0c\u624b\u673a\u4f1a\u4eba\u8138\u89e3\u9501\uff0c\u8fd9\u4e9b\u90fd\u7b97AI\u3002<\/p>\n

AI\u8fd9\u4e2a\u6982\u5ff5\u4ece1956\u5e74\u5c31\u6709\u4e86\uff0c\u6bd4\u4f60\u6211\u51fa\u751f\u90fd\u65e9\u3002\u5b83\u5305\u542b\u4e86\u5f88\u591a\u79cd\u5b9e\u73b0\u65b9\u5f0f\uff1a<\/p>\n

    \n
  • \u89c4\u5219\u9a71\u52a8\u7684AI<\/strong>\uff1a\u7a0b\u5e8f\u5458\u624b\u5199\u89c4\u5219\uff0c\u6bd4\u5982”\u5982\u679c\u6e29\u5ea6>30\u00b0C\uff0c\u5c31\u5f00\u7a7a\u8c03”<\/li>\n
  • \u673a\u5668\u5b66\u4e60<\/strong>\uff1a\u8ba9\u673a\u5668\u4ece\u6570\u636e\u4e2d\u81ea\u52a8\u5b66\u4e60\u89c4\u5219<\/li>\n
  • \u4e13\u5bb6\u7cfb\u7edf<\/strong>\uff1a\u628a\u4eba\u7c7b\u4e13\u5bb6\u7684\u77e5\u8bc6\u7f16\u7801\u6210\u89c4\u5219\u5e93<\/li>\n<\/ul>\n

    \u7528\u8fd0\u7ef4\u7684\u7c7b\u6bd4\u6765\u8bf4\uff1a<\/p>\n

    \n

    AI\u5c31\u50cf”\u81ea\u52a8\u5316\u8fd0\u7ef4”\u8fd9\u4e2a\u5927\u6982\u5ff5\u3002\u4f60\u53ef\u4ee5\u7528Shell\u811a\u672c\u5b9e\u73b0\u81ea\u52a8\u5316\uff0c\u4e5f\u53ef\u4ee5\u7528Ansible\uff0c\u4e5f\u53ef\u4ee5\u7528AI\u3002\u624b\u6bb5\u4e0d\u540c\uff0c\u76ee\u6807\u4e00\u6837\u2014\u2014\u8ba9\u673a\u5668\u81ea\u5df1\u5e72\u6d3b\u3002<\/p>\n<\/blockquote>\n

    \u5173\u952e\u7406\u89e3\uff1aAI\u4e0d\u4e00\u5b9a\u9700\u8981”\u5b66\u4e60”\uff0c\u5b83\u4e5f\u53ef\u4ee5\u662f\u624b\u5199\u89c4\u5219\u7684\u3002<\/strong><\/p>\n

    \n

    \ud83d\udfe2 \u4e2d\u95f4\u7684\u5708\uff1a\u673a\u5668\u5b66\u4e60\uff08Machine Learning\uff09<\/h2>\n

    \u673a\u5668\u5b66\u4e60\uff08Machine Learning\uff09<\/strong> \u662fAI\u7684\u4e00\u4e2a\u5b50\u96c6\u3002<\/p>\n

    \u5b83\u7684\u6838\u5fc3\u601d\u60f3\u662f\uff1a\u4e0d\u624b\u5199\u89c4\u5219\uff0c\u8ba9\u673a\u5668\u4ece\u6570\u636e\u4e2d\u81ea\u5df1\u5b66\u5230\u89c4\u5219\u3002<\/strong><\/p>\n

    \u8fd8\u8bb0\u5f97Day4\u65e9\u8bfe\u6211\u4eec\u804a\u7684”\u7b97\u6cd5\u662f\u83dc\u8c31”\u5417\uff1f\u673a\u5668\u5b66\u4e60\u5c31\u662f\uff1a<\/p>\n

    `<\/code><\/p>\n

    \u4f20\u7edf\u7f16\u7a0b\uff1a\u7a0b\u5e8f\u5458\u5199\u89c4\u5219 \u2192 \u673a\u5668\u6267\u884c<\/p>\n

    \u673a\u5668\u5b66\u4e60\uff1a\u7a0b\u5e8f\u5458\u7ed9\u6570\u636e \u2192 \u673a\u5668\u81ea\u5df1\u5b66\u51fa\u89c4\u5219<\/p>\n

    `<\/code><\/p>\n

    \u8fd9\u662f\u4e00\u4e2a\u8303\u5f0f\u8f6c\u6362\uff01\u4ee5\u524d\u662f\u4eba\u544a\u8bc9\u673a\u5668\u600e\u4e48\u505a\uff0c\u73b0\u5728\u662f\u4eba\u7ed9\u673a\u5668\u770b\u4f8b\u5b50\uff0c\u8ba9\u673a\u5668\u81ea\u5df1\u609f\u3002<\/p>\n

    \u673a\u5668\u5b66\u4e60\u7684\u4e09\u5927\u7c7b\u578b<\/h3>\n\n\n
    \u7c7b\u578b<\/th>\n\u6bd4\u55bb<\/th>\n\u4f8b\u5b50<\/th>\n<\/tr>\n<\/table>\n

    |——|——|——|<\/p>\n\n\n\n\n
    \u76d1\u7763\u5b66\u4e60<\/strong><\/th>\n\u6709\u8001\u5e08\u6559\u7684\u5b66\u9738<\/th>\n\u7ed91000\u5f20\u732b\u72d7\u7167\u7247\uff0c\u6bcf\u5f20\u90fd\u6807\u597d\u4e86”\u8fd9\u662f\u732b””\u8fd9\u662f\u72d7”\uff0c\u8ba9AI\u5b66\u4f1a\u533a\u5206<\/th>\n<\/tr>\n
    \u65e0\u76d1\u7763\u5b66\u4e60<\/strong><\/td>\n\u81ea\u5b66\u6210\u624d\u7684\u5929\u624d<\/td>\n\u7ed91000\u5f20\u7167\u7247\uff0c\u4e0d\u544a\u8bc9AI\u662f\u4ec0\u4e48\uff0c\u8ba9\u5b83\u81ea\u5df1\u5206\u51fa”\u8fd9\u4e00\u5806\u770b\u8d77\u6765\u50cf\u732b\uff0c\u90a3\u4e00\u5806\u50cf\u72d7”<\/td>\n<\/tr>\n
    \u5f3a\u5316\u5b66\u4e60<\/strong><\/td>\n\u6253\u6e38\u620f\u7ec3\u51fa\u6765\u7684\u9ad8\u624b<\/td>\nAI\u81ea\u5df1\u6478\u7d22\uff0c\u505a\u5bf9\u4e86\u5956\u52b1\uff0c\u505a\u9519\u4e86\u60e9\u7f5a\uff0c\u6162\u6162\u5b66\u4f1a\u6700\u4f18\u7b56\u7565<\/td>\n<\/tr>\n<\/table>\n

    \u7528\u8fd0\u7ef4\u7c7b\u6bd4\uff1a<\/p>\n

    \n

    \u673a\u5668\u5b66\u4e60\u5c31\u50cf\u7528\u76d1\u63a7\u7cfb\u7edf\u81ea\u52a8\u5b66\u4e60\u57fa\u7ebf\u3002\u4f20\u7edf\u65b9\u5f0f\u662f\u4f60\u624b\u52a8\u8bbe\u5b9a\u9608\u503c\uff08CPU>80%\u62a5\u8b66\uff09\uff0c\u673a\u5668\u5b66\u4e60\u65b9\u5f0f\u662f\u8ba9\u7cfb\u7edf\u81ea\u5df1\u5b66\u4e60”\u6b63\u5e38\u72b6\u6001\u957f\u4ec0\u4e48\u6837”\uff0c\u5f02\u5e38\u4e86\u518d\u62a5\u3002Prometheus\u7684\u5f02\u5e38\u68c0\u6d4b\u5c31\u662f\u8fd9\u4e2a\u601d\u8def\u3002<\/p>\n<\/blockquote>\n

    \u673a\u5668\u5b66\u4e60\u7684\u5178\u578b\u7b97\u6cd5<\/h3>\n

    \u5728\u673a\u5668\u5b66\u4e60\u8fd9\u4e2a\u5708\u91cc\uff0c\u6709\u5f88\u591a\u7ecf\u5178\u7684\u7b97\u6cd5\uff1a<\/p>\n

      \n
    • \u7ebf\u6027\u56de\u5f52<\/strong>\uff1a\u753b\u4e00\u6761\u7ebf\u62df\u5408\u6570\u636e\uff08\u9884\u6d4b\u623f\u4ef7\uff09<\/li>\n
    • \u51b3\u7b56\u6811<\/strong>\uff1a\u4e00\u7cfb\u5217if-else\u5224\u65ad\uff08\u5ba1\u6279\u8d37\u6b3e\uff09<\/li>\n
    • \u968f\u673a\u68ee\u6797<\/strong>\uff1a\u4e00\u5806\u51b3\u7b56\u6811\u6295\u7968\uff08\u66f4\u51c6\u786e\u7684\u5224\u65ad\uff09<\/li>\n
    • SVM\uff08\u652f\u6301\u5411\u91cf\u673a\uff09<\/strong>\uff1a\u627e\u5230\u6700\u4f73\u5206\u754c\u7ebf\uff08\u5206\u7c7b\u90ae\u4ef6\uff09<\/li>\n
    • K\u8fd1\u90bb<\/strong>\uff1a\u770b\u770b\u5468\u56f4\u90bb\u5c45\u662f\u4ec0\u4e48\u7c7b\uff08\u63a8\u8350\u7cfb\u7edf\uff09<\/li>\n
    • K-Means\u805a\u7c7b<\/strong>\uff1a\u81ea\u52a8\u5206\u5806\uff08\u5ba2\u6237\u5206\u7fa4\uff09<\/li>\n<\/ul>\n

      \u8fd9\u4e9b\u7b97\u6cd5\u90fd\u662f2012\u5e74\u4e4b\u524d<\/strong>AI\u9886\u57df\u7684\u4e3b\u6d41\u65b9\u6cd5\u3002\u5b83\u4eec\u6709\u4e2a\u5171\u540c\u7279\u70b9\uff1a<\/p>\n

      \n

      \u9700\u8981\u4eba\u5de5\u8bbe\u8ba1”\u7279\u5f81”\uff08Feature Engineering\uff09<\/strong><\/p>\n<\/blockquote>\n

      \u4ec0\u4e48\u610f\u601d\uff1f\u6bd4\u5982\u4f60\u8981\u505a\u4e00\u4e2a\u732b\u72d7\u5206\u7c7b\u5668\uff0c\u4f60\u5f97\u5148\u544a\u8bc9\u673a\u5668\uff1a”\u770b\u8033\u6735\u5f62\u72b6\u3001\u770b\u6bdb\u8272\u3001\u770b\u4f53\u578b”\u2014\u2014\u8fd9\u4e9b\u5c31\u662f\u7279\u5f81\u3002\u673a\u5668\u53ea\u8d1f\u8d23\u6839\u636e\u4f60\u7ed9\u7684\u7279\u5f81\u6765\u5206\u7c7b\u3002<\/p>\n

      \u95ee\u9898\u6765\u4e86\uff1a\u8c01\u6765\u51b3\u5b9a\u770b\u54ea\u4e9b\u7279\u5f81\uff1f\u9760\u4eba\uff01<\/strong><\/p>\n

      \u8fd9\u5c31\u50cf\u662f\u4e00\u4e2a\u8fd0\u7ef4\u5de5\u7a0b\u5e08\u624b\u52a8\u5b9a\u4e49\u76d1\u63a7\u89c4\u5219\uff1a”CPU\u9ad8\u4e86\u770b\u8d1f\u8f7d\uff0c\u8d1f\u8f7d\u9ad8\u4e86\u770b\u8fdb\u7a0b\uff0c\u8fdb\u7a0b\u591a\u4e86\u770b\u54ea\u4e2a\u8fdb\u7a0b”\u2014\u2014\u5168\u9760\u7ecf\u9a8c\u3002<\/p>\n

      \n

      \ud83d\udd34 \u6700\u91cc\u9762\u7684\u5708\uff1a\u6df1\u5ea6\u5b66\u4e60\uff08Deep Learning\uff09<\/h2>\n

      \u6df1\u5ea6\u5b66\u4e60\uff08Machine Learning\u7684\u4e00\u4e2a\u5b50\u96c6\uff09<\/strong> \u662f2012\u5e74\u4e4b\u540e\u706b\u8d77\u6765\u7684\u3002<\/p>\n

      \u5b83\u7684\u9769\u547d\u6027\u7a81\u7834\u5728\u4e8e\uff1a\u4e0d\u9700\u8981\u4eba\u5de5\u8bbe\u8ba1\u7279\u5f81\uff0c\u673a\u5668\u81ea\u5df1\u5b66\uff01<\/strong><\/p>\n

      “\u6df1\u5ea6”\u662f\u4ec0\u4e48\u610f\u601d\uff1f<\/h3>\n

      “\u6df1\u5ea6”\u6307\u7684\u662f\u795e\u7ecf\u7f51\u7edc\u7684\u5c42\u6570\u591a<\/strong>\u3002<\/p>\n

      \u8fd8\u8bb0\u5f97Day5\u665a\u8bfe\u6211\u4eec\u7528\u7684Teachable Machine\u5417\uff1f\u5b83\u5e95\u5c42\u7528\u7684MobileNet\u5c31\u662f\u4e00\u4e2a\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\uff0c\u6709\u51e0\u5341\u5c42\u3002<\/p>\n

      \u5c42\u6570\u8d8a\u591a\uff0c\u7f51\u7edc\u80fd\u5b66\u5230\u7684\u7279\u5f81\u5c31\u8d8a\u590d\u6742\uff1a<\/p>\n

      `<\/code><\/p>\n

      \u7b2c1\u5c42\uff1a\u5b66\u5230”\u8fb9\u7f18\u3001\u7ebf\u6761”<\/p>\n

      \u7b2c2\u5c42\uff1a\u5b66\u5230”\u7eb9\u7406\u3001\u5f62\u72b6”<\/p>\n

      \u7b2c3\u5c42\uff1a\u5b66\u5230”\u8033\u6735\u3001\u773c\u775b”<\/p>\n

      \u7b2c4\u5c42\uff1a\u5b66\u5230”\u732b\u8138\u3001\u72d7\u8138”<\/p>\n

      \u7b2c5\u5c42\uff1a\u5b66\u5230”\u8fd9\u662f\u4e00\u53ea\u732b”<\/p>\n

      `<\/code><\/p>\n

      \u7528\u8fd0\u7ef4\u7c7b\u6bd4\uff1a<\/p>\n

      \n

      \u6df1\u5ea6\u5b66\u4e60\u5c31\u50cf\u73b0\u4ee3\u7684AIOps\u7cfb\u7edf\u3002\u4f20\u7edf\u7684\u76d1\u63a7\u662f\u4eba\u5de5\u5b9a\u4e49\u89c4\u5219\uff08CPU>80%\u62a5\u8b66\uff09\uff0c\u6df1\u5ea6\u5b66\u4e60\u7684\u76d1\u63a7\u662f\u7cfb\u7edf\u81ea\u5df1\u770b\u5386\u53f2\u6570\u636e\uff0c\u81ea\u52a8\u5b66\u5230”\u4ec0\u4e48\u60c5\u51b5\u662f\u5f02\u5e38”\u2014\u2014\u5305\u62ec\u90a3\u4e9b\u4f60\u6839\u672c\u60f3\u4e0d\u5230\u7684\u5f02\u5e38\u6a21\u5f0f\u3002<\/p>\n<\/blockquote>\n

      \u4e3a\u4ec0\u4e48\u6df1\u5ea6\u5b66\u4e60\u7a81\u7136\u706b\u4e86\uff1f<\/h3>\n

      \u4e09\u4e2a\u6761\u4ef6\u57282012\u5e74\u540c\u65f6\u6210\u719f\uff1a<\/p>\n

      1. \u6570\u636e\u591f\u591a\u4e86\uff08\u5927\u6570\u636e\u65f6\u4ee3\uff09<\/strong><\/p>\n

      \u4e92\u8054\u7f51\u7206\u53d1\uff0cImageNet\u6570\u636e\u96c6\u67091400\u4e07\u5f20\u6807\u6ce8\u56fe\u7247\u3002\u6df1\u5ea6\u5b66\u4e60\u662f”\u6570\u636e\u9965\u6e34\u578b”\u7684\uff0c\u6570\u636e\u8d8a\u591a\u8d8a\u5f3a\u3002<\/p>\n

      2. \u7b97\u529b\u591f\u5f3a\u4e86\uff08GPU\u5d1b\u8d77\uff09<\/strong><\/p>\n

      NVIDIA\u7684GPU\u672c\u6765\u662f\u6253\u6e38\u620f\u7528\u7684\uff0c\u7ed3\u679c\u53d1\u73b0\u7279\u522b\u9002\u5408\u505a\u77e9\u9635\u8fd0\u7b97\u2014\u2014\u8fd9\u6b63\u662f\u795e\u7ecf\u7f51\u7edc\u9700\u8981\u7684\u3002\u4e00\u5757GPU\u9876100\u4e2aCPU\u3002<\/p>\n

      3. \u7b97\u6cd5\u7a81\u7834\u4e86\uff08AlexNet\uff09<\/strong><\/p>\n

      2012\u5e74\uff0cAlex Krizhevsky\u7528\u6df1\u5ea6CNN\u5728ImageNet\u6bd4\u8d5b\u4e2d\u78be\u538b\u4f20\u7edf\u65b9\u6cd5\uff0c\u9519\u8bef\u7387\u4ece26%\u964d\u523016%\u3002\u6574\u4e2a\u5b66\u672f\u754c\u9707\u52a8\u4e86\u3002<\/p>\n

      \n

      \ud83d\udca1 \u5173\u952e\u6d1e\u5bdf\uff1a\u6df1\u5ea6\u5b66\u4e60\u4e0d\u662f\u4ec0\u4e48\u5168\u65b0\u7684\u7406\u8bba\uff0c\u795e\u7ecf\u7f51\u7edc1943\u5e74\u5c31\u6709\u4e86\u3002\u5b83\u706b\u8d77\u6765\u662f\u56e0\u4e3a”\u5929\u65f6\u5730\u5229\u4eba\u548c”\u2014\u2014\u6570\u636e\u3001\u7b97\u529b\u3001\u7b97\u6cd5\u4e09\u7bad\u9f50\u53d1\u3002<\/p>\n<\/blockquote>\n

      \n

      \ud83d\udcca \u4e00\u5f20\u56fe\u603b\u7ed3\uff1a\u5927\u5708\u5957\u5c0f\u5708<\/h2>\n

      `<\/code><\/p>\n

      \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510<\/p>\n

      \u2502 \u4eba\u5de5\u667a\u80fd (AI) \u2502<\/p>\n

      \u2502 “\u8ba9\u673a\u5668\u8868\u73b0\u5f97\u50cf\u6709\u667a\u80fd” \u2502<\/p>\n

      \u2502 \u2502<\/p>\n

      \u2502 \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510 \u2502<\/p>\n

      \u2502 \u2502 \u673a\u5668\u5b66\u4e60 (ML) \u2502 \u2502<\/p>\n

      \u2502 \u2502 “\u4ece\u6570\u636e\u4e2d\u5b66\u4e60\u89c4\u5219” \u2502 \u2502<\/p>\n

      \u2502 \u2502 \u2502 \u2502<\/p>\n

      \u2502 \u2502 \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510 \u2502 \u2502<\/p>\n

      \u2502 \u2502 \u2502 \u6df1\u5ea6\u5b66\u4e60 (DL) \u2502 \u2502 \u2502<\/p>\n

      \u2502 \u2502 \u2502 “\u7528\u6df1\u5c42\u795e\u7ecf\u7f51\u7edc\u81ea\u52a8\u5b66\u7279\u5f81” \u2502 \u2502 \u2502<\/p>\n

      \u2502 \u2502 \u2502 \u2502 \u2502 \u2502<\/p>\n

      \u2502 \u2502 \u2502 CNN RNN Transformer GPT \u2502 \u2502 \u2502<\/p>\n

      \u2502 \u2502 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 \u2502 \u2502<\/p>\n

      \u2502 \u2502 \u2502 \u2502<\/p>\n

      \u2502 \u2502 \u51b3\u7b56\u6811 SVM \u968f\u673a\u68ee\u6797 KNN … \u2502 \u2502<\/p>\n

      \u2502 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 \u2502<\/p>\n

      \u2502 \u2502<\/p>\n

      \u2502 \u89c4\u5219\u5f15\u64ce \u4e13\u5bb6\u7cfb\u7edf \u641c\u7d22\u7b97\u6cd5 … \u2502<\/p>\n

      \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518<\/p>\n

      `<\/code><\/p>\n

      \u8bb0\u4f4f\u8fd9\u4e2a\u5173\u7cfb\uff1a<\/strong><\/p>\n

        \n
      • AI \u2283 ML \u2283 DL\uff08\u5305\u542b\u5173\u7cfb\uff09<\/li>\n
      • \u6df1\u5ea6\u5b66\u4e60\u662f\u673a\u5668\u5b66\u4e60\u7684\u4e00\u4e2a\u5b50\u96c6<\/li>\n
      • \u673a\u5668\u5b66\u4e60\u662f\u4eba\u5de5\u667a\u80fd\u7684\u4e00\u4e2a\u5b50\u96c6<\/li>\n
      • ChatGPT\u3001Stable Diffusion\u3001\u81ea\u52a8\u9a7e\u9a76\u90fd\u5c5e\u4e8e\u6df1\u5ea6\u5b66\u4e60<\/li>\n<\/ul>\n
        \n

        \ud83c\udd9a \u673a\u5668\u5b66\u4e60 vs \u6df1\u5ea6\u5b66\u4e60\uff1a\u5173\u952e\u533a\u522b<\/h2>\n\n\n
        \u5bf9\u6bd4\u9879<\/th>\n\u4f20\u7edf\u673a\u5668\u5b66\u4e60<\/th>\n\u6df1\u5ea6\u5b66\u4e60<\/th>\n<\/tr>\n<\/table>\n

        |——–|————-|———|<\/p>\n\n\n\n\n\n\n\n\n
        \u7279\u5f81\u63d0\u53d6<\/strong><\/th>\n\u4eba\u5de5\u8bbe\u8ba1\u7279\u5f81<\/th>\n\u81ea\u52a8\u5b66\u4e60\u7279\u5f81<\/th>\n<\/tr>\n
        \u6570\u636e\u9700\u6c42<\/strong><\/td>\n\u51e0\u767e\u5230\u51e0\u5343\u6761<\/td>\n\u51e0\u4e07\u5230\u51e0\u4ebf\u6761<\/td>\n<\/tr>\n
        \u7b97\u529b\u9700\u6c42<\/strong><\/td>\nCPU\u5c31\u591f<\/td>\n\u9700\u8981GPU\/TPU<\/td>\n<\/tr>\n
        \u53ef\u89e3\u91ca\u6027<\/strong><\/td>\n\u5f3a\uff08\u80fd\u770b\u61c2\u51b3\u7b56\u8fc7\u7a0b\uff09<\/td>\n\u5f31\uff08\u9ed1\u7bb1\uff09<\/td>\n<\/tr>\n
        \u9002\u7528\u573a\u666f<\/strong><\/td>\n\u7ed3\u6784\u5316\u6570\u636e\uff08\u8868\u683c\uff09<\/td>\n\u975e\u7ed3\u6784\u5316\u6570\u636e\uff08\u56fe\u7247\u3001\u6587\u5b57\u3001\u8bed\u97f3\uff09<\/td>\n<\/tr>\n
        \u8bad\u7ec3\u65f6\u95f4<\/strong><\/td>\n\u5206\u949f\u7ea7<\/td>\n\u5c0f\u65f6\u5230\u5929\u7ea7<\/td>\n<\/tr>\n
        \u5178\u578b\u5e94\u7528<\/strong><\/td>\n\u623f\u4ef7\u9884\u6d4b\u3001\u5ba2\u6237\u5206\u7fa4<\/td>\n\u56fe\u50cf\u8bc6\u522b\u3001\u8bed\u97f3\u8bc6\u522b\u3001NLP<\/td>\n<\/tr>\n<\/table>\n

        \u4ec0\u4e48\u65f6\u5019\u7528\u54ea\u4e2a\uff1f<\/h3>\n

        \u7528\u4f20\u7edf\u673a\u5668\u5b66\u4e60\uff1a<\/strong><\/p>\n

          \n
        • \u6570\u636e\u91cf\u5c0f\uff08\u51e0\u5343\u6761\uff09<\/li>\n
        • \u6570\u636e\u662f\u7ed3\u6784\u5316\u7684\uff08Excel\u8868\u683c\uff09<\/li>\n
        • \u9700\u8981\u89e3\u91ca”\u4e3a\u4ec0\u4e48\u8fd9\u4e48\u5224\u65ad”\uff08\u6bd4\u5982\u94f6\u884c\u5ba1\u6279\u8d37\u6b3e\uff09<\/li>\n
        • \u7b97\u529b\u6709\u9650\uff08\u6ca1\u6709GPU\uff09<\/li>\n<\/ul>\n

          \u7528\u6df1\u5ea6\u5b66\u4e60\uff1a<\/strong><\/p>\n

            \n
          • \u6570\u636e\u91cf\u5927\uff08\u51e0\u4e07\u6761\u4ee5\u4e0a\uff09<\/li>\n
          • \u6570\u636e\u662f\u975e\u7ed3\u6784\u5316\u7684\uff08\u56fe\u7247\u3001\u6587\u5b57\u3001\u8bed\u97f3\u3001\u89c6\u9891\uff09<\/li>\n
          • \u4e0d\u9700\u8981\u89e3\u91ca\u8fc7\u7a0b\uff0c\u53ea\u8981\u7ed3\u679c\u597d\u5c31\u884c<\/li>\n
          • \u6709GPU\u7b97\u529b\u652f\u6301<\/li>\n<\/ul>\n

            \u7528\u8fd0\u7ef4\u7c7b\u6bd4\uff1a<\/p>\n

            \n

            \u4f20\u7edf\u673a\u5668\u5b66\u4e60\u5c31\u50cf\u7528Zabbix\u505a\u76d1\u63a7\u2014\u2014\u4f60\u5f97\u624b\u52a8\u5b9a\u4e49\u76d1\u63a7\u9879\u3001\u9608\u503c\u3001\u89e6\u53d1\u5668\uff0c\u4f46\u51fa\u4e86\u95ee\u9898\u4f60\u80fd\u5f88\u6e05\u695a\u5730\u77e5\u9053\u4e3a\u4ec0\u4e48\u62a5\u8b66\u3002<\/p>\n<\/blockquote>\n

            ><\/p>\n

            \n

            \u6df1\u5ea6\u5b66\u4e60\u5c31\u50cf\u7528AIOps\u5e73\u53f0\u2014\u2014\u5b83\u81ea\u52a8\u5b66\u4e60\u6240\u6709\u6307\u6807\u7684\u5173\u8054\uff0c\u80fd\u53d1\u73b0\u4f60\u60f3\u4e0d\u5230\u7684\u5f02\u5e38\u6a21\u5f0f\uff0c\u4f46\u51fa\u4e86\u95ee\u9898\u4f60\u53ef\u80fd\u4e0d\u77e5\u9053\u5b83\u4e3a\u4ec0\u4e48\u62a5\u8b66\uff08\u9ed1\u7bb1\u95ee\u9898\uff09\u3002<\/p>\n<\/blockquote>\n

            \n

            \ud83d\udcd6 \u5730\u94c1\u6df1\u8bfb\uff1a\u6df1\u5ea6\u5b66\u4e60\u7684”\u6df1\u5ea6”\u5230\u5e95\u6709\u591a\u6df1\uff1f<\/h2>\n

            \u5c42\u6570\u7684\u8fdb\u5316\u53f2<\/h3>\n\n\n
            \u5e74\u4efd<\/th>\n\u6a21\u578b<\/th>\n\u5c42\u6570<\/th>\n\u53c2\u6570\u91cf<\/th>\n\u7a81\u7834<\/th>\n<\/tr>\n<\/table>\n

            |——|——|——|——–|——|<\/p>\n\n\n\n\n\n\n\n\n
            2012<\/th>\nAlexNet<\/th>\n8\u5c42<\/th>\n6000\u4e07<\/th>\n\u56fe\u50cf\u8bc6\u522b\u7a81\u7834<\/th>\n<\/tr>\n
            2014<\/td>\nVGGNet<\/td>\n19\u5c42<\/td>\n1.38\u4ebf<\/td>\n\u66f4\u6df1\u66f4\u51c6<\/td>\n<\/tr>\n
            2015<\/td>\nResNet<\/td>\n152\u5c42<\/td>\n2500\u4e07<\/td>\n\u6b8b\u5dee\u8fde\u63a5\uff0c\u7a81\u7834\u6df1\u5ea6\u9650\u5236<\/td>\n<\/tr>\n
            2018<\/td>\nBERT<\/td>\n24\u5c42<\/td>\n3.4\u4ebf<\/td>\nNLP\u9769\u547d<\/td>\n<\/tr>\n
            2020<\/td>\nGPT-3<\/td>\n96\u5c42<\/td>\n1750\u4ebf<\/td>\n\u5927\u6a21\u578b\u65f6\u4ee3\u5f00\u542f<\/td>\n<\/tr>\n
            2023<\/td>\nGPT-4<\/td>\n\u672a\u516c\u5f00<\/td>\n\u4e07\u4ebf\u7ea7<\/td>\n\u591a\u6a21\u6001\u7406\u89e3<\/td>\n<\/tr>\n
            2025<\/td>\nDeepSeek-V3<\/td>\n61\u5c42(\u6df7\u5408)<\/td>\n6710\u4ebf(\u6fc0\u6d3b370\u4ebf)<\/td>\nMoE\u67b6\u6784\uff0c\u6548\u7387\u9769\u547d<\/td>\n<\/tr>\n<\/table>\n

            \u4ece8\u5c42\u5230\u4e0a\u767e\u5c42\uff0c\u4ece6000\u4e07\u53c2\u6570\u5230\u4e07\u4ebf\u53c2\u6570\u2014\u2014\u8fd9\u5c31\u662f”\u6df1\u5ea6”\u7684\u8fdb\u5316\u3002<\/p>\n

            \u4e3a\u4ec0\u4e48\u66f4\u6df1\u5c31\u66f4\u5f3a\uff1f<\/h3>\n

            \u60f3\u8c61\u4e00\u4e0b\u4f60\u662f\u4e00\u4e2a\u65b0\u6765\u7684\u8fd0\u7ef4\u5de5\u7a0b\u5e08\uff1a<\/p>\n

              \n
            • \u6d45\u5c42\u7f51\u7edc\uff081-2\u5c42\uff09<\/strong>\uff1a\u4f60\u53ea\u80fd\u770b\u5230\u8868\u9762\u73b0\u8c61\u2014\u2014”\u670d\u52a1\u5668\u6302\u4e86”<\/li>\n
            • \u4e2d\u5c42\u7f51\u7edc\uff085-10\u5c42\uff09<\/strong>\uff1a\u4f60\u80fd\u770b\u5230\u5173\u8054\u2014\u2014”\u670d\u52a1\u5668\u6302\u4e86\uff0c\u56e0\u4e3a\u5185\u5b58\u6ee1\u4e86\uff0c\u56e0\u4e3a\u6709\u4e2a\u8fdb\u7a0b\u6cc4\u6f0f”<\/li>\n
            • \u6df1\u5c42\u7f51\u7edc\uff0850+\u5c42\uff09<\/strong>\uff1a\u4f60\u80fd\u770b\u5230\u6839\u56e0\u2014\u2014”\u670d\u52a1\u5668\u6302\u4e86\uff0c\u56e0\u4e3a\u5185\u5b58\u6cc4\u6f0f\uff0c\u56e0\u4e3a\u4ee3\u7801\u7b2c347\u884c\u6709\u4e2a\u5faa\u73af\u5f15\u7528\uff0c\u56e0\u4e3a\u4e0a\u5468\u7684\u9700\u6c42\u53d8\u66f4\u6539\u4e86\u7f13\u5b58\u7b56\u7565”<\/li>\n<\/ul>\n

              \u5c42\u6570\u8d8a\u591a\uff0c\u80fd\u6355\u6349\u7684”\u62bd\u8c61\u5c42\u6b21”\u8d8a\u9ad8\u3002<\/strong><\/p>\n

              \u4f46\u4e5f\u4e0d\u662f\u8d8a\u591a\u8d8a\u597d\u2014\u2014\u5c42\u6570\u592a\u591a\u4f1a\u51fa\u73b0”\u68af\u5ea6\u6d88\u5931”\u95ee\u9898\uff08\u540e\u9762\u7684\u5c42\u5b66\u4e0d\u52a8\u4e86\uff09\u3002ResNet\u7684”\u6b8b\u5dee\u8fde\u63a5”\u5c31\u662f\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0c\u8ba9\u68af\u5ea6\u80fd”\u8df3\u8fc7”\u4e2d\u95f4\u5c42\u76f4\u63a5\u4f20\u56de\u53bb\u3002<\/p>\n

              \u6df1\u5ea6\u5b66\u4e60\u7684\u4e3b\u8981\u67b6\u6784<\/h3>\n

              \u6df1\u5ea6\u5b66\u4e60\u5185\u90e8\u53c8\u5206\u4e3a\u5f88\u591a”\u6d41\u6d3e”\uff1a<\/p>\n

              1. CNN\uff08\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff09\u2014\u2014 \u56fe\u50cf\u4e13\u5bb6<\/strong><\/p>\n

                \n
              • \u64c5\u957f\uff1a\u56fe\u50cf\u8bc6\u522b\u3001\u76ee\u6807\u68c0\u6d4b\u3001\u56fe\u50cf\u751f\u6210<\/li>\n
              • \u4ee3\u8868\uff1aResNet\u3001YOLO\u3001Stable Diffusion<\/li>\n
              • \u539f\u7406\uff1a\u7528”\u5377\u79ef\u6838”\u626b\u63cf\u56fe\u50cf\uff0c\u63d0\u53d6\u5c40\u90e8\u7279\u5f81<\/li>\n<\/ul>\n

                2. RNN\/LSTM\uff08\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff09\u2014\u2014 \u5e8f\u5217\u4e13\u5bb6<\/strong><\/p>\n

                  \n
                • \u64c5\u957f\uff1a\u65f6\u95f4\u5e8f\u5217\u3001\u8bed\u97f3\u8bc6\u522b\u3001\u65e9\u671f\u7684NLP<\/li>\n
                • \u4ee3\u8868\uff1aLSTM\u3001GRU<\/li>\n
                • \u539f\u7406\uff1a\u6709”\u8bb0\u5fc6”\u529f\u80fd\uff0c\u80fd\u8bb0\u4f4f\u524d\u9762\u7684\u4fe1\u606f<\/li>\n<\/ul>\n

                  3. Transformer \u2014\u2014 \u5168\u80fd\u738b\u8005<\/strong><\/p>\n

                    \n
                  • \u64c5\u957f\uff1aNLP\u3001\u591a\u6a21\u6001\u3001\u51e0\u4e4e\u4e00\u5207<\/li>\n
                  • \u4ee3\u8868\uff1aBERT\u3001GPT\u3001Llama\u3001Qwen<\/li>\n
                  • \u539f\u7406\uff1a\u6ce8\u610f\u529b\u673a\u5236\uff0c\u80fd\u540c\u65f6\u770b\u5230\u6240\u6709\u4fe1\u606f<\/li>\n
                  • \u72b6\u6001\uff1a2026\u5e74\u7684\u7edd\u5bf9\u4e3b\u6d41\uff0c\u6b63\u5728”\u4e00\u7edf\u6c5f\u6e56”<\/li>\n<\/ul>\n
                    \n

                    \ud83d\udca1 \u8fd9\u4e09\u79cd\u67b6\u6784\u6211\u4eec\u540e\u9762\u90fd\u4f1a\u6df1\u5165\u8bb2\u89e3\uff0c\u4eca\u5929\u53ea\u9700\u8981\u77e5\u9053\u5b83\u4eec\u7684\u5173\u7cfb\u5c31\u597d\u3002<\/p>\n<\/blockquote>\n

                    \n

                    \ud83e\udd14 \u4e00\u4e2a\u5e38\u89c1\u8bef\u533a<\/h2>\n

                    \u5f88\u591a\u4eba\u4ee5\u4e3a”\u6df1\u5ea6\u5b66\u4e60\u6bd4\u673a\u5668\u5b66\u4e60\u66f4\u597d”\uff0c\u8fd9\u662f\u4e0d\u5bf9\u7684\u3002<\/p>\n

                    \u6df1\u5ea6\u5b66\u4e60\u4e0d\u662f\u673a\u5668\u5b66\u4e60\u7684”\u5347\u7ea7\u7248”\uff0c\u800c\u662f”\u4e0d\u540c\u7684\u9002\u7528\u573a\u666f”\u3002<\/strong><\/p>\n

                    \u5c31\u50cf\u4f60\u4e0d\u80fd\u8bf4”Kubernetes\u6bd4Shell\u811a\u672c\u66f4\u597d”\u2014\u2014\u5b83\u4eec\u89e3\u51b3\u7684\u95ee\u9898\u4e0d\u540c\u3002\u7b80\u5355\u7684\u81ea\u52a8\u5316\u4efb\u52a1\u7528Shell\u5c31\u591f\u4e86\uff0c\u590d\u6742\u7684\u5bb9\u5668\u7f16\u6392\u624d\u9700\u8981K8s\u3002<\/p>\n

                    \u540c\u6837\uff1a<\/p>\n

                      \n
                    • \u9884\u6d4b\u660e\u5929\u7684\u5929\u6c14\uff1f\u6df1\u5ea6\u5b66\u4e60\u53ef\u80fd\u8fc7\u5ea6\u4e86\uff0c\u4f20\u7edf\u56de\u5f52\u6a21\u578b\u5c31\u591f<\/li>\n
                    • \u8bc6\u522bX\u5149\u7247\u4e2d\u7684\u80bf\u7624\uff1f\u6df1\u5ea6\u5b66\u4e60\u78be\u538b\u4f20\u7edf\u65b9\u6cd5<\/li>\n
                    • \u5206\u6790\u7528\u6237\u8d2d\u4e70\u884c\u4e3a\uff1f\u968f\u673a\u68ee\u6797\u53ef\u80fd\u6bd4\u6df1\u5ea6\u5b66\u4e60\u66f4\u5408\u9002\uff0c\u800c\u4e14\u80fd\u89e3\u91ca”\u4e3a\u4ec0\u4e48”<\/li>\n<\/ul>\n

                      \u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\uff0c\u6bd4\u8ffd\u6c42\u6700\u65b0\u6700\u5f3a\u7684\u5de5\u5177\u66f4\u91cd\u8981\u3002<\/strong><\/p>\n

                      \n

                      \u2705 \u4eca\u65e5\u603b\u7ed3<\/h2>\n

                      3\u4e2a\u5173\u952e\u8981\u70b9\uff1a<\/strong><\/p>\n

                        \n
                      1. AI \u2283 \u673a\u5668\u5b66\u4e60 \u2283 \u6df1\u5ea6\u5b66\u4e60<\/strong>\uff0c\u4e09\u8005\u662f\u5305\u542b\u5173\u7cfb\uff0c\u4e0d\u662f\u5e76\u5217\u5173\u7cfb\u3002\u6df1\u5ea6\u5b66\u4e60\u662f\u673a\u5668\u5b66\u4e60\u7684\u4e00\u4e2a\u5b50\u96c6\uff0c\u673a\u5668\u5b66\u4e60\u662f\u4eba\u5de5\u667a\u80fd\u7684\u4e00\u4e2a\u5b50\u96c6\u3002<\/li>\n<\/ol>\n
                          \n
                        1. \u6df1\u5ea6\u5b66\u4e60\u7684\u6838\u5fc3\u7a81\u7834\u662f”\u81ea\u52a8\u5b66\u4e60\u7279\u5f81”<\/strong>\u2014\u2014\u4e0d\u9700\u8981\u4eba\u5de5\u8bbe\u8ba1\u7279\u5f81\uff0c\u673a\u5668\u81ea\u5df1\u4ece\u6570\u636e\u4e2d\u5b66\u5230\u3002\u4ee3\u4ef7\u662f\u9700\u8981\u66f4\u591a\u6570\u636e\u548c\u66f4\u5f3a\u7b97\u529b\u3002<\/li>\n<\/ol>\n
                            \n
                          1. \u6df1\u5ea6\u5b66\u4e60\u4e0d\u662f\u4e07\u80fd\u7684<\/strong>\u2014\u2014\u6570\u636e\u5c11\u3001\u9700\u8981\u53ef\u89e3\u91ca\u6027\u3001\u7ed3\u6784\u5316\u6570\u636e\u7684\u573a\u666f\uff0c\u4f20\u7edf\u673a\u5668\u5b66\u4e60\u4ecd\u7136\u662f\u66f4\u597d\u7684\u9009\u62e9\u3002\u9009\u5bf9\u5de5\u5177\u6bd4\u8ffd\u6c42\u6700\u65b0\u6280\u672f\u66f4\u91cd\u8981\u3002<\/li>\n<\/ol>\n
                            \n

                            \ud83d\udcdd \u4eca\u65e5\u884c\u52a8\u9879<\/h2>\n
                              \n
                            • [ ] \u753b\u51faAI\u3001\u673a\u5668\u5b66\u4e60\u3001\u6df1\u5ea6\u5b66\u4e60\u7684\u5305\u542b\u5173\u7cfb\u56fe\uff08\u624b\u7ed8\u6216\u7528\u5de5\u5177\u90fd\u884c\uff09<\/li>\n
                            • [ ] \u60f3\u4e00\u60f3\u4f60\u5de5\u4f5c\u4e2d\u9047\u5230\u7684\u95ee\u9898\uff0c\u5224\u65ad\u5b83\u9002\u5408\u7528\u4f20\u7edf\u673a\u5668\u5b66\u4e60\u8fd8\u662f\u6df1\u5ea6\u5b66\u4e60<\/li>\n
                            • [ ] \u5728\u641c\u7d22\u5f15\u64ce\u641c\u7d22”\u673a\u5668\u5b66\u4e60 vs \u6df1\u5ea6\u5b66\u4e60”\uff0c\u770b\u770b\u5176\u4ed6\u4eba\u7684\u89e3\u91ca\u548c\u6211\u4eec\u8bb2\u7684\u6709\u4ec0\u4e48\u4e0d\u540c<\/li>\n<\/ul>\n
                              \n

                              \ud83d\udcc5 \u4e0b\u7bc7\u9884\u544a<\/h2>\n

                              \u4eca\u665a\u665a\u8bfe Day06<\/strong>\uff1a\u4f20\u7edf\u7f16\u7a0b vs AI\u7f16\u7a0b\u2014\u2014\u601d\u7ef4\u65b9\u5f0f\u7684\u9769\u547d\u6027\u8f6c\u53d8<\/p>\n

                              \n

                              \u4ece”\u5199\u89c4\u5219”\u5230”\u7ed9\u6570\u636e”\uff0c\u7f16\u7a0b\u601d\u7ef4\u7684\u8303\u5f0f\u8f6c\u6362\u3002\u7528\u4e00\u4e2a\u5bf9\u6bd4\u5b9e\u9a8c\uff0c\u8ba9\u4f60\u4f53\u4f1aAI\u7f16\u7a0b\u7684\u5a01\u529b\u3002<\/p>\n<\/blockquote>\n

                              \u660e\u5929\u65e9\u8bfe Day07<\/strong>\uff1aAI\u4e94\u611f\u2014\u2014\u89c6\u89c9\u3001\u542c\u89c9\u3001\u8bed\u8a00\u3001\u63a8\u7406\u3001\u521b\u9020<\/p>\n

                              \n

                              AI\u80fd\u770b\u3001\u80fd\u542c\u3001\u80fd\u8bf4\u3001\u80fd\u60f3\u3001\u80fd\u521b\u9020\uff1f\u4e00\u6b21\u8bb2\u6e05AI\u7684\u4e94\u5927\u80fd\u529b\uff0c\u770b\u770b\u54ea\u4e9b\u5df2\u7ecf\u8d85\u8fc7\u4eba\u7c7b\u3002<\/p>\n<\/blockquote>\n

                              \n
                              \n

                              \ud83c\udf93 \u65e9\u8bfe\u5408\u96c6<\/strong> | \u6bcf\u5929\u65e9\u4e0a8\u70b9\u66f4\u65b0<\/p>\n<\/blockquote>\n

                              \n

                              \ud83d\udca1 \u5b66\u5b8c\u8bb0\u5f97\u6253\u5361\uff01\u5728\u8bc4\u8bba\u533a\u5206\u4eab\u4f60\u5bf9\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u7406\u89e3<\/p>\n<\/blockquote>\n

                              \n

                              \ud83d\udd16 \u672c\u6587\u5df2\u6536\u5f55\u81f3\u300cAI\u4e13\u5bb6\u517b\u6210\u8ba1\u5212\u00b7\u65e9\u8bfe\u7406\u8bba\u300d\u5408\u96c6\uff08album_id: 4522388014890975236\uff09<\/p>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"

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