{"id":114,"date":"2023-05-15T14:58:59","date_gmt":"2023-05-15T06:58:59","guid":{"rendered":"https:\/\/myhelpfulai.com\/?p=114"},"modified":"2023-05-15T14:58:59","modified_gmt":"2023-05-15T06:58:59","slug":"gpt%e6%92%b0%e5%86%99%e7%9a%84%e5%90%88%e5%90%8c","status":"publish","type":"post","link":"https:\/\/aitimes.link\/index.php\/2023\/05\/15\/gpt%e6%92%b0%e5%86%99%e7%9a%84%e5%90%88%e5%90%8c\/","title":{"rendered":"GPT\u64b0\u5199\u7684\u5408\u540c"},"content":{"rendered":"\n

\u300a\u516c\u53f8\u6570\u636e\u5b89\u5168\u7b56\u7565\u300b<\/p>\n\n\n\n

    \n
  1. \u76ee\u7684<\/li>\n<\/ol>\n\n\n\n

    \u672c\u653f\u7b56\u65e8\u5728\u786e\u4fdd\u6240\u6709 Meta \u5e73\u53f0\u6570\u636e\u5f97\u5230\u9002\u5f53\u7684\u4fdd\u62a4\u548c\u7ba1\u7406\uff0c\u4ee5\u9632\u6b62\u672a\u7ecf\u6388\u6743\u7684\u8bbf\u95ee\u3001\u6cc4\u9732\u6216\u635f\u5bb3\uff0c\u5e76\u7b26\u5408\u9002\u7528\u7684\u6cd5\u89c4\u548c\u5408\u89c4\u8981\u6c42\u3002<\/p>\n\n\n\n

      \n
    1. \u9002\u7528\u8303\u56f4<\/li>\n<\/ol>\n\n\n\n

      \u672c\u653f\u7b56\u9002\u7528\u4e8e\u6240\u6709\u5458\u5de5\uff0c\u5305\u62ec\u5168\u804c\u3001\u517c\u804c\u3001\u5b9e\u4e60\u751f\u548c\u5408\u540c\u5de5\uff0c\u4ee5\u53ca\u8bbf\u95ee\u516c\u53f8\u8bbe\u5907\u6216\u6570\u636e\u7684\u7b2c\u4e09\u65b9\u4eba\u5458\u3002<\/p>\n\n\n\n

        \n
      1. \u6570\u636e\u5206\u7c7b\u548c\u5b58\u50a8<\/li>\n<\/ol>\n\n\n\n

        3.1. Meta\u5e73\u53f0\u6570\u636e\u5206\u7c7b<\/p>\n\n\n\n

        \u6240\u6709 Meta \u5e73\u53f0\u6570\u636e\u90fd\u5e94\u5206\u7c7b\u4e3a\u654f\u611f\u6570\u636e\uff0c\u9700\u53d7\u5230\u4e25\u683c\u4fdd\u62a4\u3002\u6b64\u7c7b\u6570\u636e\u5305\u62ec\u7528\u6237\u4fe1\u606f\u3001\u767b\u5f55\u51ed\u636e\u3001\u5185\u90e8\u901a\u8baf\u548c\u5176\u4ed6\u6d89\u53ca Meta \u5e73\u53f0\u7684\u6570\u636e\u3002<\/p>\n\n\n\n

        3.2. \u6570\u636e\u5b58\u50a8\u7981\u4ee4<\/p>\n\n\n\n

        \u5728\u7ec4\u7ec7\u8bbe\u5907\uff08\u4f8b\u5982\u7b14\u8bb0\u672c\u7535\u8111\u3001\u5e73\u677f\u7535\u8111\u7b49\uff09\u548c\u53ef\u79fb\u52a8\u5a92\u4f53\uff08\u4f8b\u5982USB\u8bbe\u5907\u3001\u624b\u673a\u7b49\uff09\u4e0a\u5b58\u50a8 Meta \u5e73\u53f0\u6570\u636e\u662f\u4e25\u683c\u7981\u6b62\u7684\u3002<\/p>\n\n\n\n

        3.3. \u6570\u636e\u5904\u7406<\/p>\n\n\n\n

        \u5458\u5de5\u6709\u8d23\u4efb\u786e\u4fdd\u5904\u7406\u548c\u5b58\u50a8 Meta \u5e73\u53f0\u6570\u636e\u7684\u63a7\u5236\u7b26\u5408\u516c\u53f8\u7684\u6570\u636e\u5b89\u5168\u7b56\u7565\u3002<\/p>\n\n\n\n

          \n
        1. \u5458\u5de5\u57f9\u8bad\u548c\u5408\u540c\u8981\u6c42<\/li>\n<\/ol>\n\n\n\n

          4.1. \u6240\u6709\u5458\u5de5\u90fd\u5e94\u63a5\u53d7\u5e74\u5ea6\u6570\u636e\u5b89\u5168\u57f9\u8bad\uff0c\u57f9\u8bad\u5185\u5bb9\u4f1a\u6db5\u76d6\u672c\u653f\u7b56\u6761\u6b3e\uff0c\u7279\u522b\u662f\u4e0e Meta \u5e73\u53f0\u6570\u636e\u5b58\u50a8\u76f8\u5173\u7684\u63a7\u5236\u63aa\u65bd\u3002<\/p>\n\n\n\n

          4.2. \u4f5c\u4e3a\u5c31\u4e1a\u6761\u4ef6\uff0c\u5458\u5de5\u5fc5\u987b\u7b7e\u7f72\u660e\u786e\u4eb2\u81ea\u627f\u8bfa\u9075\u5b88 Meta \u5e73\u53f0\u6570\u636e\u5b58\u50a8\u9650\u5236\u7684\u5408\u540c\u534f\u8bae\u3002\u6b64\u534f\u8bae\u5bf9\u5e94\u5c65\u884c\u6cd5\u5f8b\u8d23\u4efb\u3002<\/p>\n\n\n\n

            \n
          1. \u8bc1\u636e\u63d0\u4ea4<\/li>\n<\/ol>\n\n\n\n

            5.1. \u5e74\u5ea6\u57f9\u8bad\u7b7e\u5230\u8868\u548c\u8bfe\u7a0b\u5927\u7eb2<\/p>\n\n\n\n

            5.2. \u5458\u5de5\u5408\u540c\u534f\u8bae\uff0c\u660e\u786e\u8bf4\u660e\u7981\u6b62\u5728\u7ec4\u7ec7\u8bbe\u5907\u548c\u53ef\u79fb\u52a8\u5a92\u4f53\u4e0a\u5b58\u50a8 Meta \u5e73\u53f0\u6570\u636e\u7684\u6761\u6b3e<\/p>\n\n\n\n

            5.3. \u5b9a\u671f\u53d1\u9001\u7ed9\u5458\u5de5\u7684\u6709\u5173\u653f\u7b56\u548c\u64cd\u4f5c\u8981\u6c42\u7684\u7535\u5b50\u90ae\u4ef6\u63d0\u9192<\/p>\n\n\n\n

            \u8bf7\u6ce8\u610f\uff0c\u6b64\u8303\u4f8b\u653f\u7b56\u4ec5\u4f5c\u53c2\u8003\uff0c\u5b9e\u9645\u5236\u5b9a\u7684\u653f\u7b56\u9700\u8981\u6839\u636e\u5177\u4f53\u7ec4\u7ec7\u9700\u6c42\u3001\u6cd5\u89c4\u548c\u5408\u89c4\u8981\u6c42\u8fdb\u884c\u8c03\u6574\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

            \u300a\u516c\u53f8\u6570\u636e\u5b89\u5168\u7b56\u7565\u300b \u672c\u653f\u7b56\u65e8\u5728\u786e\u4fdd\u6240\u6709 Meta \u5e73\u53f0\u6570\u636e\u5f97\u5230\u9002\u5f53\u7684\u4fdd\u62a4\u548c\u7ba1\u7406\uff0c\u4ee5\u9632\u6b62\u672a\u7ecf\u6388\u6743\u7684\u8bbf\u95ee\u3001\u6cc4\u9732\u6216 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-114","post","type-post","status-publish","format-standard","hentry","category-ai"],"_links":{"self":[{"href":"https:\/\/aitimes.link\/index.php\/wp-json\/wp\/v2\/posts\/114","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aitimes.link\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aitimes.link\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aitimes.link\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aitimes.link\/index.php\/wp-json\/wp\/v2\/comments?post=114"}],"version-history":[{"count":1,"href":"https:\/\/aitimes.link\/index.php\/wp-json\/wp\/v2\/posts\/114\/revisions"}],"predecessor-version":[{"id":115,"href":"https:\/\/aitimes.link\/index.php\/wp-json\/wp\/v2\/posts\/114\/revisions\/115"}],"wp:attachment":[{"href":"https:\/\/aitimes.link\/index.php\/wp-json\/wp\/v2\/media?parent=114"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aitimes.link\/index.php\/wp-json\/wp\/v2\/categories?post=114"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aitimes.link\/index.php\/wp-json\/wp\/v2\/tags?post=114"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}