{"id":1036,"date":"2024-07-28T08:19:00","date_gmt":"2024-07-28T00:19:00","guid":{"rendered":"https:\/\/www.laoyulaoyu.com\/?p=1036"},"modified":"2024-07-28T08:19:00","modified_gmt":"2024-07-28T00:19:00","slug":"%e5%bd%93%e8%b4%b9%e6%9b%bc%e6%8a%80%e5%b7%a7%e9%82%82%e9%80%85-ai%ef%bc%8c%e5%bc%ba%e5%8a%bf%e5%be%81%e6%9c%8d%e6%89%80%e6%9c%89%e5%ad%a6%e4%b9%a0%e9%a2%86%e5%9f%9f","status":"publish","type":"post","link":"https:\/\/blog.laoyulaoyu.top\/index.php\/2024\/07\/28\/%e5%bd%93%e8%b4%b9%e6%9b%bc%e6%8a%80%e5%b7%a7%e9%82%82%e9%80%85-ai%ef%bc%8c%e5%bc%ba%e5%8a%bf%e5%be%81%e6%9c%8d%e6%89%80%e6%9c%89%e5%ad%a6%e4%b9%a0%e9%a2%86%e5%9f%9f\/","title":{"rendered":"\u5f53\u8d39\u66fc\u6280\u5de7\u9082\u9005 AI\uff0c\u5f3a\u52bf\u5f81\u670d\u6240\u6709\u5b66\u4e60\u9886\u57df"},"content":{"rendered":"\n

\u4f5c\u8005\uff1a\u8001\u4f59\u635e\u9c7c<\/a><\/p>\n\n\n\n

\u539f\u521b\u4e0d\u6613\uff0c\u8f6c\u8f7d\u8bf7\u6807\u660e\u51fa\u5904\u53ca\u539f\u4f5c\u8005\u3002<\/mark><\/strong><\/mark><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
\n
\u5199\u5728\u524d\u9762\u7684\u8bdd\uff1a<\/strong>\u672c\u6587\u901a\u8fc7\u8bfa\u5956\u83b7\u5f97\u8005<\/mark>\u8d39\u66fc\u7684\u65b9\u6cd5\u52a0\u4e0a\u5e94\u7528\u4eba\u5de5\u667a\u80fd<\/mark>\uff0c\u7528\u56db\u4e2a\u7b80\u5355\u7684\u6b65\u9aa4<\/mark>\u53ef\u4ee5\u7814\u7a76\u5b66\u4e60\u4efb\u4f55\u9886\u57df\u7684\u77e5\u8bc6<\/mark>\u3002<\/pre>\n<\/blockquote>\n\n\n\n
\u4f60\u4e0a\u6b21\u9047\u5230\u4e00\u95e8\u5f88\u96be\u5b66\u7684\u79d1\u76ee\u662f\u4ec0\u4e48\u65f6\u5019\uff1f\u6216\u8005\u4f60\u82b1\u4e86\u5f88\u591a\u65f6\u95f4\u6765\u770b\u54d4\u54e9\u54d4\u54e9\u89c6\u9891\u5b66\u4e60\u5982\u4f55\u66f4\u597d\u5730\u5b66\u4e60\uff1f\u4f46\u770b\u5b8c\u540e\u8fd8\u65e0\u6cd5\u53bb\u5b9e\u8df5\u3002<\/p>\n\n\n\n
\u6709\u65e0\u6570\u7684\u5b66\u4e60\u6280\u5de7\u53ef\u4ee5\u5e2e\u52a9\u4f60\u6d88\u5316\u590d\u6742\u7684\u6982\u5ff5\uff0c\u5e76\u6709\u4fe1\u5fc3\u7262\u8bb0\u5b83\u4eec\u3002\u5982\u679c\u4f60\u50cf\u6211\u4e00\u6837\u662f\u4e00\u4e2a\u7ec8\u751f\u5b66\u4e60\u7684\u4eba\uff0c\u4f60\u5c31\u4f1a\u660e\u767d\u6709\u6548\u5b66\u4e60\u65b9\u6cd5<\/strong>\u7684\u91cd\u8981\u6027\u3002\u5176\u4e2d\u6700\u7b80\u5355\u7684\u4e00\u79cd\u5c31\u662f\u8d39\u66fc\u6280\u5de7<\/strong>\u3002<\/p>\n\n\n\n
\u6211\u63a5\u4e0b\u6765\u5c06\u89e3\u91ca\u5982\u4f55\u6709\u6548\u5730\u5e94\u7528\u8d39\u66fc\u5b66\u4e60\u65b9\u6cd5\uff0c\u4ee5\u53ca\u5982\u4f55\u4f7f\u7528\u4eba\u5de5\u667a\u80fd<\/strong>\u6765\u586b\u8865\u4f60\u7684\u77e5\u8bc6\u7a7a\u767d\u3002\u6700\u540e\uff0c\u901a\u8fc7\u4f7f\u7528 ChatGPT\u6765\u5206\u89e3\u590d\u6742\u7684\u6982\u5ff5\uff0c\u5e76\u901a\u8fc7\u56db\u4e2a\u7b80\u5355\u7684\u6b65\u9aa4<\/strong>\u76f4\u89c2\u3001\u8f7b\u677e\u5730\u638c\u63e1\u5b83\u4eec\uff01<\/p>\n\n\n\n
\u4e00\u3001\u8c01\u662f\u8d39\u66fc\uff1f<\/strong><\/h3>\n\n\n\n
\u7406\u67e5\u5fb7\u00b7\u8d39\u66fc\u662f\u7f8e\u56fd\u7406\u8bba\u7269\u7406\u5b66\u5bb6\u3002\u4f5c\u4e3a\u66fc\u54c8\u987f\u8ba1\u5212\u7684\u4e00\u90e8\u5206\uff0c\u4ed6\u5728\u4e8c\u6218\u671f\u95f4\u7684\u539f\u5b50\u5f39\u7814\u53d1\u4e2d\u53d1\u6325\u4e86\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\u3002\u770b\u8fc7\u5927\u70ed\u7535\u5f71\u201c\u5965\u672c\u6d77\u9ed8\u201d\u7684\u4e5f\u8bb8\u5c31\u77e5\u9053\u4ed6\u30021965 \u5e74\uff0c\u4ed6\u56e0\u5728\u91cf\u5b50\u7535\u52a8\u529b\u5b66\u65b9\u9762\u7684\u5de5\u4f5c\u83b7\u5f97\u4e86\u8bfa\u8d1d\u5c14<\/strong>\u7269\u7406\u5b66\u5956\u3002\u4f46\u9664\u6b64\u4e4b\u5916\uff0c\u4ed6\u8fd8\u662f\u4e00\u4f4d\u53d7\u6b22\u8fce\u7684\u8001\u5e08\u548c\u8457\u540d\u4e66\u7c4d\u7684\u4f5c\u8005\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\u5c3d\u7ba1\u53d6\u5f97\u4e86\u6240\u6709\u8fd9\u4e9b\u4ee4\u4eba\u77a9\u76ee\u7684\u6210\u5c31\uff0c\u8d39\u66fc\u5e76\u4e0d\u8ba4\u4e3a\u81ea\u5df1\u5728\u667a\u529b\u4e0a\u5f88\u7279\u522b\uff0c\u800c\u53ea\u662f\u4e00\u4f4d\u80fd\u591f\u52aa\u529b\u5b66\u4e60\u7684\u666e\u901a\u4eba\u3002\u4ed6\u8bf4\uff1a\u662f\u4e00\u4e2a\u52aa\u529b\u5b66\u4e60\u7684\u666e\u901a\u4eba\uff0c\u6ca1\u6709\u4ec0\u4e48\u5947\u8ff9\u3002\u6ca1\u6709\u5b9e\u8df5\u3001\u9605\u8bfb\u3001\u5b66\u4e60\u548c\u7814\u7a76\uff0c\u5c31\u6ca1\u6709\u7814\u7a76\u91cf\u5b50\u529b\u5b66\u7684\u5929\u8d4b\u6216\u7279\u6b8a\u5947\u8ff9\u3002<\/em><\/p>\n\n\n\n
\u53d1\u5c55\u5230\u5982\u4eca\uff0c\u5927\u5bb6\u8c08\u8bba\u7684\u201c\u8d39\u66fc\u6280\u5de7\u201d\u5df2\u7ecf\u5e76\u975e\u5168\u90e8\u662f\u8d39\u66fc\u4e66\u5199\u7684\u5185\u5bb9\uff0c\u5c3d\u7ba1\u5982\u6b64\uff0c\u5b83\u8fd8\u662f\u53d7\u5230\u4e86\u8d39\u66fc\u5bf9\u5fc5\u987b\u7814\u7a76\u4e00\u95e8\u5b66\u79d1\u7684\u770b\u6cd5\u7684\u542f\u53d1\u3002<\/p>\n\n\n\n
<\/p>\n\n\n\n
\u4e8c\u3001\u4ec0\u4e48\u662f\u8d39\u66fc\u6280\u5de7\uff1f<\/strong><\/h3>\n\n\n\n
\u8d39\u66fc\u4ee5\u80fd\u591f\u4ee5\u76f4\u89c2\u6613\u61c2\u7684\u65b9\u5f0f\u89e3\u91ca\u590d\u6742\u7684\u7269\u7406\u6982\u5ff5\u800c\u95fb\u540d\u3002\u4ed6\u8ba4\u4e3a\uff0c\u53ea\u6709\u5f53\u4f60\u80fd\u5411\u4e00\u4e2a\u5bf9\u6b64\u6ca1\u6709\u4efb\u4f55\u5148\u9a8c\u77e5\u8bc6\u7684\u4eba\u6e05\u6670\u5730\u89e3\u91ca\u67d0\u4e2a\u6982\u5ff5\u65f6\uff0c\u4f60\u624d\u80fd\u58f0\u79f0\u81ea\u5df1\u7406\u89e3\u4e86\u5b83\u3002\u6ca1\u6709\u4eba\u6bd4\u8d39\u66fc\u672c\u4eba\u8bf4\u5f97\u66f4\u597d\uff0c\u4ed6\u8bf4\uff1a\u201d\u5f53\u6211\u4eec\u4e0d\u4f7f\u7528\u4e13\u4e1a\u672f\u8bed\u65f6\uff0c\u6211\u4eec\u5c31\u4e0d\u4f1a\u518d\u8eb2\u5728\u81ea\u5df1\u4e0d\u5177\u5907\u7684\u77e5\u8bc6\u540e\u9762\u3002\u5927\u8bcd\u548c\u7a7a\u6d1e\u7684\u201c\u5546\u4e1a\u7528\u8bed\u201d\u4f1a\u963b\u788d\u6211\u4eec\u76f4\u5954\u4e3b\u9898\uff0c\u65e0\u6cd5\u5c06\u77e5\u8bc6\u4f20\u9012\u7ed9\u4ed6\u4eba\u3002<\/strong>\u201d<\/mark><\/p>\n\n\n\n
\"\"\/<\/figure>\n\n\n\n
\u8d39\u66fc\u5b66\u4e60\u4e3b\u9898\u7684\u6280\u672f\u53ef\u4ee5\u5206\u4e3a\u4ee5\u4e0b\u56db\u4e2a\u7b80\u5355\u6b65\u9aa4\uff1a<\/p>\n\n\n\n
    \n
  1. \u4f20\u6388\u6982\u5ff5\uff1a<\/strong>\u7406\u89e3\u67d0\u4ef6\u4e8b\u7684\u6700\u6709\u6548\u65b9\u6cd5\u662f\u4f20\u6388\u5b83\u3002\u65e0\u8bba\u4f60\u662f\u60f3\u628a\u8fd9\u4e2a\u6982\u5ff5\u4f20\u6388\u7ed9\u522b\u4eba\u3001\u81ea\u5df1\u8fd8\u662f\u4e00\u4e2a\u5047\u60f3\u7684\u5b69\u5b50\uff0c\u4f60\u90fd\u5fc5\u987b\u5047\u8bbe\u5bf9\u65b9\u5bf9\u8fd9\u4e2a\u4e3b\u9898\u4e00\u65e0\u6240\u77e5\u3002\u6240\u4ee5\u4e0d\u8981\u8eb2\u5728\u5927\u8bcd\u540e\u9762\u6216\u8eb2\u907f\u5927\u8bcd\u3002<\/li>\n\n\n\n
  2. \u627e\u51fa\u5dee\u8ddd\uff1a<\/strong>\u4ed4\u7ec6\u68c0\u67e5\u4f60\u6559\u8fc7\u7684\u5185\u5bb9\u3002\u4ece\u5bf9\u65b9\u7684\u89d2\u5ea6\uff0c\u5c1d\u8bd5\u627e\u51fa\u4f60\u7684\u89e3\u91ca\u4e2d\u7f3a\u5931\u7684\u90e8\u5206\u3001\u9700\u8981\u8fdb\u4e00\u6b65\u52aa\u529b\u7684\u90e8\u5206\uff0c\u6216\u8005\u6839\u672c\u4e0d\u591f\u7406\u89e3\u7684\u90e8\u5206\u3002<\/li>\n\n\n\n
  3. \u5b8c\u5584\uff1a<\/strong>\u5229\u7528\u4e0a\u4e00\u6b65\u7684\u53cd\u9988\uff0c\u4e0d\u65ad\u5b8c\u5584\u60a8\u7684\u89e3\u91ca\uff0c\u76f4\u5230\u60a8\u6ee1\u610f\u4e3a\u6b62\u3002<\/li>\n\n\n\n
  4. \u8bb2\u6545\u4e8b\uff1a<\/strong>\u73b0\u5728\u60a8\u5df2\u7ecf\u6253\u4e0b\u4e86\u57fa\u7840\uff0c\u53ef\u4ee5\u7528\u4f8b\u5b50\u3001\u63d2\u56fe\u548c\u56fe\u8868\u6765\u5de9\u56fa\u5b83\u3002\u8ba9\u60a8\u7684\u89e3\u91ca\u6d41\u7545\uff0c\u4ee5\u4fbf\u60a8\u53ef\u4ee5\u901a\u8fc7\u4e00\u4e2a\u60a6\u8033\u52a8\u542c\u3001\u6709\u8da3\u7684\u6545\u4e8b\u6765\u4f20\u8fbe\u5b83\u3002<\/li>\n<\/ol>\n\n\n\n
    \u4e09\u3001\u4eba\u5de5\u667a\u80fd + \u8d39\u66fc\u6280\u5de7<\/strong><\/h3>\n\n\n\n
    \u5982\u679c\u4f60\u4e0d\u4f7f\u7528\u4eba\u5de5\u667a\u80fd\u6765\u589e\u5f3a\u4f60\u7684\u5b66\u4e60\u8fc7\u7a0b\uff0c\u4f60\u5c31\u4f1a\u843d\u540e\u3002\u5728\u672c\u8282\u4e2d\uff0c\u6211\u5c06\u4ecb\u7ecd\u4e00\u79cd\u975e\u5e38\u7b80\u5355\u7684\u65b9\u6cd5\uff0c\u901a\u8fc7\u63d0\u793aChatGPT<\/strong>\u5c06\u4eba\u5de5\u667a\u80fd\u4e0e\u8d39\u66fc\u6280\u672f\u7ed3\u5408\u8d77\u6765\u3002\u4f5c\u4e3a\u793a\u4f8b\uff0c\u6211\u5c06\u4f7f\u7528\u201c\u77e2\u91cf\u6570\u636e\u5e93\u201d<\/em>\u4f5c\u4e3a\u6211\u60f3\u8981\u5b66\u4e60\u7684\u673a\u5668\u5b66\u4e60\u6982\u5ff5\u3002<\/p>\n\n\n\n
    \u6b65\u9aa4 1<\/strong>\uff1a\u6211\u5c06\u9605\u8bfb\u6709\u5173\u8be5\u4e3b\u9898\u7684\u8d44\u6599\u5e76\u5b66\u4e60\u5176\u57fa\u672c\u77e5\u8bc6\u3002\u7136\u540e\uff0c\u6211\u5bf9\u77e2\u91cf\u6570\u636e\u5e93\u8fdb\u884c\u4e86\u7b80\u5316\u89e3\u91ca\u3002\u5047\u8bbe\u6211\u5f97\u51fa\u4ee5\u4e0b\u89e3\u91ca\uff1a<\/p>\n\n\n\n
    Imagine having<\/mark> a library of<\/mark> books. You can add<\/mark> books to<\/mark> the library\nand<\/mark> retrieve them quickly by using<\/mark> their name or any<\/mark> other indexing method.\nA vector database is<\/mark> also a library, but instead of<\/mark> books, stores vectors.\nA vector can be thought of, as a list of numbers that represent an image,\naudio, or any<\/mark> sort of<\/mark> data. Once we convert<\/mark> the data into<\/mark> vectors, by using<\/mark>\nvarious machine learning techniques, we can store the vectors and<\/mark> retrieve\nthem efficiently using some<\/mark> indexing method.<\/code><\/pre>\n\n\n\n
    \u6216\u8005<\/strong>\uff0c\u5982\u679c\u6211\u4eec\u81ea\u5df1\u5199\u6982\u5ff5\u6709\u56f0\u96be\uff0c\u4e5f\u53ef\u4ee5\u8bf7 ChatGPT \u4e3a\u6211\u4eec\u63d0\u4f9b\u6982\u5ff5\u89e3\u91ca\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u6b64\u63d0\u793a\u8bcd\uff1a<\/p>\n\n\n\n
    \u7ed9\u6211\u89e3\u91ca[\u6982\u5ff5]\uff0c\u5c31\u597d\u50cf\u6211\u662f\u4e00\u4e2a\u5b8c\u5168\u521d\u5b66\u8005\u3002\nExplain [concept] to me as if I am a complete beginner with no prior knowledge.<\/code><\/pre>\n\n\n\n
    \u6b65\u9aa42<\/strong>\uff1a\u4e00\u65e6\u6211\u4eec\u5bf9\u6982\u5ff5\u6709\u4e86\u521d\u6b65\u5b9a\u4e49\uff0c\u5c31\u8be5\u786e\u5b9a\u5982\u4f55\u6539\u8fdb\u5b83\u4e86\u3002\u6211\u4eec\u53ef\u4ee5\u8ba9 ChatGPT \u5145\u5f53\u6211\u4eec\u7684\u542c\u4f17\u5e76\u7ed9\u6211\u4eec\u53cd\u9988\u3002\u63d0\u793a\u5982\u4e0b\uff1a<\/p>\n\n\n\n
    \u627e\u51fa\u6211\u5bf9 [\u6982\u5ff5] \u7684\u89e3\u91ca\u4e2d\u53ef\u80fd\u5b58\u5728\u7684\u5dee\u8ddd\u6216\u4e0d\u6e05\u695a\u7684\u5730\u65b9\uff1a[\u89e3\u91ca]\nIdentify potential gaps or unclear points in my explanation of [concept]: [explanation]<\/code><\/pre>\n\n\n\n
    \u901a\u8fc7\u4f7f\u7528\u8fd9\u4e2a\u63d0\u793a\u548c\u6211\u5bf9\u77e2\u91cf\u6570\u636e\u5e93\u7684\u89e3\u91ca\uff0c\u6211\u5f97\u5230\u4e86\u4e00\u4efd\u5efa\u8bae\u5217\u8868\uff0c\u8bf4\u660e\u5176\u4e2d\u54ea\u4e9b\u90e8\u5206\u53ef\u80fd\u5b58\u5728\u77e5\u8bc6\u5dee\u8ddd\u6216\u66f4\u591a\u7684\u6f84\u6e05\uff1a<\/p>\n\n\n\n
    Expand on Vectors: Explain how vectors are derived from data, on<\/mark> Vectors: Explain how vectors are<\/mark> derived from <\/mark>data,\nusing <\/mark>a specific<\/mark> example to<\/mark> illustrate the concept.\n\nDetail Conversion Techniques: Mention specific<\/mark> machine learning techniques,\nlike <\/mark>neural networks or<\/mark> NLP, used to convert<\/mark> data into <\/mark>vectors.\n\nClarify Indexing and<\/mark> Retrieval: Discuss specialized algorithms used in<\/mark>\nvector databases, such as<\/mark> approximate nearest neighbor search, and<\/mark> how\nthey differ from<\/mark> traditional indexing methods.\n\nInclude Use Cases: Add<\/mark> examples of<\/mark> practical applications like <\/mark>multimedia\nretrieval and real-time<\/mark> recommendation systems to show<\/mark> the benefits of<\/mark>\nvector databases.\n\nDiscuss Scalability and<\/mark> Performance: Mention how vector databases are<\/mark>\noptimized for<\/mark> handling large<\/mark> datasets and<\/mark> high-performance needs.\n\nEnhance Comparison with<\/mark> Traditional Databases: Extend your library analogy\nto<\/mark> compare the search<\/mark> processes in<\/mark> vector and<\/mark> traditional databases,\nemphasizing efficiency and accuracy in<\/mark> finding similar <\/mark>items.<\/code><\/pre>\n\n\n\n
    \u6b65\u9aa4 3\uff1a<\/strong>\u91cd\u590d\u524d\u9762\u7684\u6b65\u9aa4\uff0c\u76f4\u5230\u60a8\u5f97\u51fa\u6ee1\u610f\u7684\u7b80\u6d01\u3001\u5b8c\u6574\u7684\u6982\u5ff5\u5b9a\u4e49\u3002<\/p>\n\n\n\n
    \u6b65\u9aa4 4<\/strong>\uff1a\u901a\u8fc7\u6dfb\u52a0\u7c7b\u6bd4\u548c\u56fe\u8868\u6765\u6269\u5c55\u60a8\u7684\u89e3\u91ca\u3002gpt-4o<\/code>\u60a8\u8fd8\u53ef\u4ee5\u4f7f\u7528\u56fe\u8868\u548c\u56fe\u50cf\u6765\u5e2e\u52a9\u60a8\u83b7\u5f97\u89c6\u89c9\u7406\u89e3\u3002<\/p>\n\n\n\n
    \u6211\u5c06\u4f7f\u7528\u4e24\u4e2a\u5355\u72ec\u7684\u63d0\u793a\uff0c\u4e00\u4e2a\u7528\u4e8e\u7c7b\u6bd4\uff1a<\/p>\n\n\n\n
    \u6dfb\u52a0\u4e24\u4e2a\u7c7b\u6bd4\uff0c\u4ee5\u5e2e\u52a9\u5bf9 [\u6982\u5ff5] \u505a\u51fa\u66f4\u6613\u4e8e\u7406\u89e3\u7684\u89e3\u91ca\u3002\nAdd two analogies to help develop a more understandable explanation of [concept].<\/code><\/pre>\n\n\n\n
    \u7ed8\u5236\u6982\u5ff5\u56fe\u7684\u53e6\u4e00\u4e2a\u63d0\u793a\uff1a<\/p>\n\n\n\n
    \u753b\u4e00\u4e9b\u56fe\u8868\u6765\u5e2e\u52a9\u6211\u7406\u89e3[\u6982\u5ff5]\u7684\u6982\u5ff5\ndraw me diagrams to help understand the concept of [concept]<\/code><\/pre>\n\n\n\n
    ChatGPT \u5c06\u7ee7\u7eed\u521b\u5efa\u4e00\u4e2a\u56fe\u8868\uff0c\u4ee5\u4fbf\u5168\u9762\u4e86\u89e3\u77e2\u91cf\u6570\u636e\u5e93\uff1a<\/p>\n\n\n\n
    \"\"<\/figure>\n\n\n\n
    \u56db\u3001\u4e00\u4e9b\u63d0\u793a<\/strong><\/h3>\n\n\n\n
    \u4e00\u5b9a\u8981\u6e05\u695a\uff0cAI \u4f1a\u51fa\u73b0\u5e7b\u89c9\u73b0\u8c61\uff01\u8fd9\u610f\u5473\u7740\u5b83\u6709\u7f16\u9020\u4e0d\u5b58\u5728\u4fe1\u606f\u7684\u503e\u5411\u3002\u66f4\u4ee4\u4eba\u62c5\u5fe7\u7684\u662f\uff0cAI \u4f3c\u4e4e\u5bf9\u7f16\u9020\u6b64\u7c7b\u9519\u8bef\u4fe1\u5fc3\u6ee1\u6ee1\uff0c\u6240\u4ee5\u9664\u975e\u60a8\u5bf9\u4e8e\u67d0\u4e2a\u4e3b\u9898\u5df2\u7ecf\u62e5\u6709\u4e00\u4e9b\u5148\u9a8c\u77e5\u8bc6\uff0c\u5426\u5219\u5c06\u64cd\u4f5c\u7684\u4e3b\u5bfc\u6743\u5b8c\u5168\u4ea4\u7ed9 AI \u5fc5\u987b\u8981\u5c0f\u5fc3\uff01
    \u89e3\u91ca\uff1a\u5bf9\u90e8\u5206\u8bcd\u6c47\u8fdb\u884c\u4e86\u66ff\u6362\uff0c\u589e\u5f3a\u4e86\u8868\u8fbe\u7684\u51c6\u786e\u6027\u548c\u529b\u5ea6\u3002
    \u793a\u4f8b\uff1a\u5728\u91d1\u878d\u6295\u8d44\u9886\u57df\uff0c\u5982\u679c\u6ca1\u6709\u5148\u9a8c\u77e5\u8bc6\uff0c\u76f2\u76ee\u542c\u4ece AI \u7ed9\u51fa\u7684\u6295\u8d44\u5efa\u8bae\uff0c\u53ef\u80fd\u4f1a\u56e0 AI \u7684\u5e7b\u89c9\u5bfc\u81f4\u4e25\u91cd\u7684\u7ecf\u6d4e\u635f\u5931\u3002<\/p>\n\n\n\n
    <\/p>\n\n\n\n
    <\/p>\n\n\n\n
    \n\n\n\n
    \u672c\u6587\u5185\u5bb9\u4ec5\u9650\u5236\u7528\u4e8e\u6280\u672f\u63a2\u8ba8\u548c\u5b66\u4e60\uff0c\u539f\u521b\u4e0d\u6613\uff0c\u8f6c\u8f7d\u8bf7\u6807\u660e\u51fa\u5904\u53ca\u539f\u4f5c\u8005\u3002<\/mark><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"
    \u4f5c\u8005\uff1a\u8001\u4f59\u635e\u9c7c \u539f\u521b\u4e0d\u6613\uff0c\u8f6c\u8f7d\u8bf7\u6807\u660e\u51fa\u5904\u53ca\u539f\u4f5c\u8005\u3002…<\/p>\n
    Continue reading\u5f53\u8d39\u66fc\u6280\u5de7\u9082\u9005 AI\uff0c\u5f3a\u52bf\u5f81\u670d\u6240\u6709\u5b66\u4e60\u9886\u57df<\/span><\/a><\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[3],"class_list":["post-1036","post","type-post","status-publish","format-standard","hentry","category-aiinvest","tag-ai","entry"],"_links":{"self":[{"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/posts\/1036","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/comments?post=1036"}],"version-history":[{"count":0,"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/posts\/1036\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/media?parent=1036"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/categories?post=1036"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/tags?post=1036"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}