Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the betterdocs domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /data/user/htdocs/wp-includes/functions.php on line 6114

Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the jnews-view-counter domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /data/user/htdocs/wp-includes/functions.php on line 6114

Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the wp-statistics domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /data/user/htdocs/wp-includes/functions.php on line 6114

Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the wpdiscuz domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /data/user/htdocs/wp-includes/functions.php on line 6114

Notice: 函数 _load_textdomain_just_in_time 的调用方法不正确jnews 域的翻译加载触发过早。这通常表示插件或主题中的某些代码运行过早。翻译应在 init 操作或之后加载。 请查阅调试 WordPress来获取更多信息。 (这个消息是在 6.7.0 版本添加的。) in /data/user/htdocs/wp-includes/functions.php on line 6114

Notice: 函数 _load_textdomain_just_in_time 的调用方法不正确jnews-like 域的翻译加载触发过早。这通常表示插件或主题中的某些代码运行过早。翻译应在 init 操作或之后加载。 请查阅调试 WordPress来获取更多信息。 (这个消息是在 6.7.0 版本添加的。) in /data/user/htdocs/wp-includes/functions.php on line 6114

Warning: Cannot modify header information - headers already sent by (output started at /data/user/htdocs/wp-includes/functions.php:6114) in /data/user/htdocs/wp-includes/rest-api/class-wp-rest-server.php on line 1893

Warning: Cannot modify header information - headers already sent by (output started at /data/user/htdocs/wp-includes/functions.php:6114) in /data/user/htdocs/wp-includes/rest-api/class-wp-rest-server.php on line 1893

Warning: Cannot modify header information - headers already sent by (output started at /data/user/htdocs/wp-includes/functions.php:6114) in /data/user/htdocs/wp-includes/rest-api/class-wp-rest-server.php on line 1893

Warning: Cannot modify header information - headers already sent by (output started at /data/user/htdocs/wp-includes/functions.php:6114) in /data/user/htdocs/wp-includes/rest-api/class-wp-rest-server.php on line 1893

Warning: Cannot modify header information - headers already sent by (output started at /data/user/htdocs/wp-includes/functions.php:6114) in /data/user/htdocs/wp-includes/rest-api/class-wp-rest-server.php on line 1893

Warning: Cannot modify header information - headers already sent by (output started at /data/user/htdocs/wp-includes/functions.php:6114) in /data/user/htdocs/wp-includes/rest-api/class-wp-rest-server.php on line 1893

Warning: Cannot modify header information - headers already sent by (output started at /data/user/htdocs/wp-includes/functions.php:6114) in /data/user/htdocs/wp-includes/rest-api/class-wp-rest-server.php on line 1893

Warning: Cannot modify header information - headers already sent by (output started at /data/user/htdocs/wp-includes/functions.php:6114) in /data/user/htdocs/wp-includes/rest-api/class-wp-rest-server.php on line 1893
{"id":24931,"date":"2024-01-03T14:45:42","date_gmt":"2024-01-03T06:45:42","guid":{"rendered":"https:\/\/linguaresources.com\/?p=24931"},"modified":"2024-07-18T21:44:57","modified_gmt":"2024-07-18T13:44:57","slug":"2023-%e5%b9%b4%e6%9c%80%e5%8f%97%e6%ac%a2%e8%bf%8e%e7%9a%84%e8%af%ad%e8%a8%80%e4%ba%a7%e4%b8%9a%e6%96%b0%e9%97%bb","status":"publish","type":"post","link":"https:\/\/linguaresources.com\/?p=24931","title":{"rendered":"2023 \u5e74\u6700\u53d7\u6b22\u8fce\u7684\u8bed\u8a00\u4ea7\u4e1a\u65b0\u95fb"},"content":{"rendered":"

\n

\n

\u968f\u7740 2023 \u5e74\u4eba\u5de5\u667a\u80fd\u7a81\u7834\u5e74\u7684\u5230\u6765\uff0c\u8bed\u8a00\u670d\u52a1\u884c\u4e1a\u6b63\u4ee5\u8c28\u614e\u4e50\u89c2\u548c”\u6700\u597d\u505a\u597d\u51c6\u5907”\u7684\u6001\u5ea6\u5c55\u671b\u672a\u6765\u3002\u5728 NMT \u51fa\u73b0\u540e\u7684\u4e94\u5e74\u5de6\u53f3\u65f6\u95f4\u91cc\uff0c\u4eba\u5de5\u667a\u80fd\u8bed\u8a00\u6280\u672f\u4e3a\u4e00\u5207\u4e8b\u7269\u6ce8\u5165\u65b0\u7684\u5143\u7d20\u3002<\/p>\n

\u5728 Slator 10 \u6708\u82cf\u9ece\u4e16 SlatorCon <\/a>\u4e0a\uff0cFlorian Faes\u79f0\u4e4b\u4e3a\u201c\u6700\u91cd\u8981\u7684\u4e00\u5e74\u201d\uff0c\u5c06\u4e1a\u5185\u9886\u519b\u4eba\u7269\u91cd\u65b0\u805a\u96c6\u8d77\u6765\uff0c\u8fdb\u884c\u4e86\u5173\u4e8e\u6280\u672f\u7684\u9762\u5bf9\u9762\u8ba8\u8bba\uff0c\u8ba8\u8bba\u5e76\u975e\u5145\u6ee1\u6050\u60e7\uff0c\u800c\u662f\u5145\u6ee1\u4e86\u524d\u884c\u7684\u6e34\u671b\uff0c\u529b\u6c42\u4ee5\u5c3d\u53ef\u80fd\u7a33\u5065\u7684\u65b9\u5f0f\u524d\u8fdb\u3002<\/p>\n

Mayfair Equity Partners<\/a> \u8463\u4e8b\u603b\u7ecf\u7406 Markus Zejermann \u548c Carlyle <\/a>\u8463\u4e8b\u603b\u7ecf\u7406 Fernando Chueca \u4e0d\u7ea6\u800c\u540c\u5730\u8ba4\u4e3a\uff0c\u8bed\u8a00\u884c\u4e1a\u6709\u5b9e\u529b\u4e5f\u6709\u6761\u4ef6\u6210\u4e3a\u63a7\u5236\u5927\u578b\u8bed\u8a00\u6a21\u578b<\/a>\uff08LLM\uff09\u76f8\u5173\u6280\u672f\u548c\u670d\u52a1\u7684\u4e13\u5bb6\u3002<\/p>\n

\u8fd9\u4e9b\u662f Slator.com 2023 \u5e74\u6700\u53d7\u6b22\u8fce\u7684\u65b0\u95fb\u3002<\/p>\n

1.\u7f8e\u56fd\u56fd\u52a1\u9662\u62db\u8058 1,000 \u540d\u7b14\u8bd1\u5458\u548c\u53e3\u8bd1\u5458<\/span><\/strong><\/h3>\n

\u8fd9\u4ef6\u4e8b\u662f2023\u5e74\u6700\u53d7\u6b22\u8fce\u7684\u65b0\u95fb\uff0c\u5728 9 \u6708\u4efd\u5f15\u53d1\u4e86\u75c5\u6bd2\u5f0f\u7684\u5206\u4eab\u548c\u8ba8\u8bba\u3002\u5b83\u6d89\u53ca\u5230\u7f8e\u56fd\u56fd\u52a1\u9662\u53d1\u5e03\u7684\u4e00\u9879 “\u62df\u53d1\u51fa\u6574\u4f53\u8d2d\u4e70\u534f\u8bae”<\/a>\uff0c\u4ee5\u76f4\u63a5\u8058\u7528\u7ea61,000\u540d\u7ffb\u8bd1\u548c\u53e3\u8bd1\u5458\u63d0\u4f9b\u8bed\u8a00\u670d\u52a1\u3002<\/p>\n

\u8be5”\u610f\u5411”\u53ea\u662f\u4e00\u4efd\u4fe1\u606f\u901a\u77e5\uff0c\u8bf4\u660e\u53ef\u80fd\u4e0e\u8bed\u8a00\u5b66\u5bb6\u4e2a\u4eba\u76f4\u63a5\u7b7e\u8ba2\u5408\u540c\uff0c\u4ee5”\u63d0\u4f9b\u53e3\u8bd1\u3001\u7b14\u8bd1\u548c\u76f8\u5173\u670d\u52a1\uff0c\u652f\u6301\u7f8e\u56fd\u653f\u5e9c\u6700\u9ad8\u7ea7\u522b\u7684\u5916\u4ea4\u548c\u5916\u4e8b\u6d3b\u52a8”\u3002\u8fd9\u7bc7\u6587\u7ae0\u4e4b\u6240\u4ee5\u53d7\u6b22\u8fce\uff0c\u53ef\u80fd\u4e0e\u62a5\u916c\u6709\u5173\uff0c\u6839\u636e\u901a\u544a\uff0c\u53ea\u8981\u6ee1\u8db3\u4e00\u957f\u4e32\u8981\u6c42\uff0c\u5355\u9879\u4efb\u52a1\u7684\u62a5\u916c\u53ef\u9ad8\u8fbe15 \u4e07\u7f8e\u5143\u3002<\/p>\n

2.\u5bf9\u8c37\u6b4c\u5df4\u5fb7\u7684\u673a\u5668\u7ffb\u8bd1\u80fd\u529b\u7684\u6d4b\u8bd5<\/span><\/strong><\/h3>\n

Bard\u57282023\u5e745\u6708\u53ea\u662f\u4e00\u4e2a\u5a74\u513f\u7ea7\u522b\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff0c\u81f3\u5c11\u5728\u5b83\u6210\u4e3a\u4e00\u4e2a\u516c\u5f00\u7684\u804a\u5929\u673a\u5668\u4eba\u65f6\u662f\u8fd9\u6837\u3002\u5728 Slator\uff0c\u6211\u4eec\u5fc5\u987b\u6d4b\u8bd5\u5176\u56fa\u6709\u7684\u7ffb\u8bd1\u80fd\u529b<\/a>\u3002\u4f46\u5b83\u53ea\u662f\u5728\u5b66\u4e60\u9636\u6bb5\uff0c\u5b83\u7684\u6bcd\u516c\u53f8Google\u5bf9\u5176\u56de\u5e94\u7684\u4e0d\u51c6\u786e\u6216\u4e0d\u9002\u5f53\u6027\u8fdb\u884c\u4e86\u5927\u91cf\u9053\u6b49\u3002<\/p>\n

Bard\u6700\u521d\u4ee5\u7f8e\u5f0f\u82f1\u8bed\u3001\u65e5\u8bed\u548c\u97e9\u8bed\u4e09\u8bed\u4e3a\u4e3b\uff0c\u5c3d\u7ba1\u5b83\u58f0\u79f0\uff08\u6216\u662f\u5e7b\u89c9\uff1f\uff09\u80fd\u591f\u5728133\u79cd\u8bed\u8a00\u4e4b\u95f4\u8fdb\u884c\u7ffb\u8bd1\u3002Bard\u8fd8\u8bf4\u5b83\u80fd\u7ed9\u7535\u5f71\u52a0\u5b57\u5e55\u3002\u4f46\u5f53\u8981\u6c42\u5728\u9664\u4e86\u8fd9\u4e09\u79cd\u6bcd\u8bed\u4e4b\u5916\u7684\u4efb\u4f55\u8bed\u8a00\u4e2d\u8fdb\u884c\u7ffb\u8bd1\u65f6\uff0c\u5b83\u4f1a\u8bf4\u201c\u6211\u662f\u4e00\u4e2a\u5728\u76ee\u524d\u4ec5\u80fd\u56de\u5e94\u90e8\u5206\u8bed\u8a00\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff0c\u6240\u4ee5\u6211\u4e0d\u80fd\u5e2e\u52a9\u60a8\u8fdb\u884c\u7ffb\u8bd1\u3002\u201d<\/p>\n

3.\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5728\u201c\u91ce\u5916\u201d\u673a\u5668\u7ffb\u8bd1\u65f6\u4e3a\u4f55\u4ea7\u751f\u5e7b\u89c9<\/span><\/strong><\/h3>\n

\u4eca\u5e74 3 \u6708\uff0c\u7814\u7a76\u4eba\u5458\u516c\u5e03<\/a>\u4e86\u5bf9\u5927\u89c4\u6a21\u591a\u8bed\u8a00\u7ffb\u8bd1\u6a21\u578b\u548c LLM\uff08\u5305\u62ec ChatGPT<\/a>\uff09\u7684\u8be6\u7ec6\u7814\u7a76\u7ed3\u679c\u3002\u7814\u7a76\u8303\u56f4\u5f88\u5e7f\uff0c\u5305\u62ec\u975e\u82f1\u8bed\u8bed\u8a00\u5bf9\u5728\u5185\u7684 100 \u591a\u4e2a\u7ffb\u8bd1\u65b9\u5411\u3002<\/p>\n

\u636e\u7814\u7a76\u4eba\u5458\u79f0\uff0c\u5f53\u76ee\u6807\u8bed\u8a00\u4e3a\u4f4e\u8d44\u6e90\u8bed\u8a00\u65f6\uff0c\u5e7b\u89c9\u51fa\u73b0\u7684\u9891\u7387\u66f4\u9ad8\uff0c\u5728\u67d0\u4e9b\u8bed\u8a00\u5bf9\u4e2d\u8d85\u8fc7\u4e86 10%\u3002\u4ed6\u4eec\u7684\u7ed3\u8bba\u662f\uff1a”\u5728\u7ffb\u8bd1\u4f4e\u8d44\u6e90\u8bed\u8a00\u6216\u4ece\u4f4e\u8d44\u6e90\u8bed\u8a00\u7ffb\u8bd1\u65f6\uff0c\u6a21\u578b\u5f80\u5f80\u8f83\u5c11\u4f9d\u8d56\u6e90\u8bed\u5883”\u3002<\/p>\n

4.Meta \u8b66\u544a\u5176\u6700\u65b0\u5927\u578b\u8bed\u8a00\u6a21\u578b”\u53ef\u80fd\u4e0d\u9002\u5408”\u975e\u82f1\u8bed\u4f7f\u7528<\/span><\/strong><\/h3>\n

Meta \u4e8e 7 \u6708\u53d1\u5e03\u4e86Llama 2 LLM<\/a>\uff0c\u8ddd\u79bb Llama 1 \u53d1\u5e03\u4ec5\u8fc7\u53bb\u4e86\u4e94\u4e2a\u6708\u5de6\u53f3\u3002\u4f5c\u4e3a\u5f00\u653e\u4e14\u514d\u8d39\u4f9b\u7814\u7a76\u548c\u5546\u4e1a\u4f7f\u7528\u7684\u5de5\u5177\uff0cLLM\u7684\u7b2c\u4e8c\u4e2a\u7248\u672c\u8bad\u7ec3\u6570\u636e\u589e\u52a0\u4e8640%\u3002<\/p>\n

\u7136\u800c\uff0cMeta\u7684\u7814\u7a76\u4eba\u5458\u627f\u8ba4\uff0c\u8be5\u6a21\u578b\u4e0d\u662f\u7ffb\u8bd1\u7684\u7406\u60f3\u9009\u62e9\uff0c\u89e3\u91ca\u79f0\u201c\u5927\u591a\u6570\u6570\u636e\u662f\u82f1\u8bed\u7684\uff0c\u8fd9\u610f\u5473\u7740Llama 2\u5728\u82f1\u8bed\u7528\u4f8b\u4e2d\u8868\u73b0\u6700\u4f73\u201d\uff0c\u5e76\u8865\u5145\u8bf4\u201c\u4e00\u4e2a\u4ee5\u82f1\u8bed\u4e3a\u4e3b\u7684\u8bad\u7ec3\u8bed\u6599\u5e93\u610f\u5473\u7740\u8be5\u6a21\u578b\u53ef\u80fd\u4e0d\u9002\u7528\u4e8e\u5176\u4ed6\u8bed\u8a00\u3002\u201d<\/p>\n

5.\u65b0 Whisper API \u7684\u516d\u4e2a\u5b9e\u7528\u6848\u4f8b<\/strong><\/span><\/h3>\n

OpenAI \u7684\u8bed\u97f3\u8f6c\u6587\u672c\u6a21\u578b Whisper \u53ef\u901a\u8fc7 API \u4f7f\u7528\uff0c\u63d0\u4f9b\u8fd1 100 \u79cd\u8bed\u8a00\u7684\u8f6c\u5f55\u670d\u52a1\u3002\u7136\u800c\uff0cslator\u5728 3 \u6708\u4efd\u7684\u4e00\u7bc7\u6587\u7ae0<\/a>\u4e2d\u53d1\u73b0\uff0c\u8fd9\u79cd\u53ef\u7528\u6027\u53ef\u80fd\u4ec5\u9650\u4e8e\u5c11\u6570\u62e5\u6709\u8db3\u591f\u8ba1\u7b97\u80fd\u529b\u7684\u7528\u6237\uff0c\u56e0\u4e3a\u5b83\u9700\u8981\u5927\u91cf\u7684\u7b97\u529b\u3002<\/p>\n

\u5bf9\u4e8e\u90a3\u4e9b\u6709\u80fd\u529b\u63d0\u4f9b\u8fd9\u79cd\u8ba1\u7b97\u80fd\u529b\u7684\u4eba\u6765\u8bf4\uff0c\u6587\u7ae0\u4e2d\u8ba8\u8bba\u7684\u516d\u4e2a\u7528\u4f8b\u662f\u8f6c\u5f55\u670d\u52a1\u3001\u8bed\u8a00\u5b66\u4e60\u5de5\u5177\u3001\u64ad\u5ba2\u548c\u97f3\u9891\u5185\u5bb9\u7d22\u5f15\u3001\u5ba2\u6237\u670d\u52a1\u3001\u5e02\u573a\u7814\u7a76\u548c\u8bed\u97f3\u641c\u7d22\u3002\u5c06 Whisper \u7684\u5e94\u7528\u7a0b\u5e8f\u63a5\u53e3\u4e0e ChatGPT \u548c\u5176\u4ed6\u6a21\u5f0f\u7684\u5e94\u7528\u7a0b\u5e8f\u63a5\u53e3\u76f8\u7ed3\u5408\uff0c\u7528\u6237\u8fd8\u53ef\u4ee5\u521b\u5efa\u5176\u4ed6\u5e94\u7528\u7a0b\u5e8f\uff0c\u5305\u62ec “\u89c6\u9891\u5230\u95ee\u7b54 “\u548c “\u89c6\u9891\u5230\u535a\u6587”\u3002<\/p>\n

6.\u8c37\u6b4c\u63a2\u7d22\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u5b9e\u9645\u7ffb\u8bd1\u6548\u679c<\/strong><\/span><\/h3>\n

\u4e94\u6708\u4efd\u7684\u4e00\u7bc7\u8bba\u6587\u5206\u6790<\/a>\u4e86 Pathways \u8bed\u8a00\u6a21\u578b (PaLM)\uff0c\u4ee5\u4e86\u89e3 LLM \u5982\u4f55\u8fdb\u884c\u7ffb\u8bd1\u3002\u4f5c\u8005\u53d1\u73b0\uff0c55% \u7684\u53cc\u8bed\u5b9e\u4f8b\u5b9e\u9645\u4e0a\u4e0d\u662f\u7ffb\u8bd1\uff0c\u800c\u662f\u4ee3\u7801\u8f6c\u6362\u3001\u5f15\u7528\u6bcd\u8bed\u4e2d\u7684\u547d\u540d\u5b9e\u4f53\u548c\u4e0d\u76f8\u5173\u7684\u5185\u5bb9\u300240%\u7684\u53cc\u8bed\u5b9e\u4f8b\u53ef\u89c6\u4e3a\u4f2a\u7ffb\u8bd1\uff0c\u5305\u62ec\u603b\u7ed3\u548c\u8f6c\u8ff0\u3002<\/p>\n

\u7814\u7a76\u4eba\u5458\u8fd8\u5c1d\u8bd5\u7528\u63d0\u793a\u8bed\u6765\u6fc0\u53d1 PaLM \u7684\u7ffb\u8bd1\u80fd\u529b\uff0c\u5e76\u786e\u5b9a\u5927\u591a\u6570 LLM MT \u7814\u7a76\u90fd\u662f\u7528\u82f1\u6587\u6e90\u8bed\u8a00\u548c\u76ee\u6807\u8bed\u8a00\u540d\u79f0\u8fdb\u884c\u63d0\u793a\uff0c\u540e\u9762\u52a0\u5192\u53f7\uff08\u5982 “French:”\uff09\uff0c\u8fd9\u4e5f\u662f\u6570\u636e\u4e2d\u6700\u5e38\u7528\u7684\u63d0\u793a\u8bed\u3002<\/p>\n

7.\u5fae\u8f6f\u5173\u95ed\u53d7\u4eba\u559c\u7231\u7684\u8bed\u8a00\u95e8\u6237\u7f51\u7ad9<\/strong><\/span><\/h3>\n

\u81ea 2009 \u5e74\u8d77\uff0c\u5fae\u8f6f\u8bed\u8a00\u95e8\u6237\u7f51\u7ad9\uff08Microsoft Language Portal<\/a>\uff09\u5f00\u59cb\u5411\u516c\u4f17\u5f00\u653e\uff0c\u8fd9\u662f\u4e00\u4e2a\u591a\u8bed\u8a00\u7684\u8ba1\u7b97\u673a\u76f8\u5173\u672f\u8bed\u5728\u7ebf\u8bcd\u5178\uff0c\u4e5f\u662f\u672c\u5730\u5316\u98ce\u683c\u6307\u5357\u548c\u7528\u6237\u754c\u9762\u5b57\u7b26\u4e32\u7ffb\u8bd1\u7684\u6c47\u7f16\u3002\u8be5\u516c\u53f8\u4e8e 5 \u6708\u4efd\u5ba3\u5e03\u5173\u95ed\u8be5\u95e8\u6237\u7f51\u7ad9\u3002<\/p>\n

\u8be5\u95e8\u6237\u7f51\u7ad9\u6df1\u53d7\u8bd1\u5458\u6b22\u8fce\uff0c\u5176\u4e2d\u4e00\u4f4d\u8bd1\u5458\u5f53\u65f6\u5728\u793e\u4ea4\u5a92\u4f53\u4e0a\u611f\u6168\u9053\uff1a”\u6211\u8ba4\u4e3a\u505c\u7528\u8fd9\u6837\u4e00\u4e2a\u672f\u8bed\u95e8\u6237\u7f51\u7ad9\u662f\u4e0d\u5bf9\u7684\uff0c\u56e0\u4e3a\u6709\u5f88\u591a\u50cf\u6211\u4eec\u8fd9\u6837\u7684\u7528\u6237\u548c\u8bd1\u5458\u5728\u4f7f\u7528\u8fd9\u4e2a\u5de5\u5177”\u3002\u8be5\u95e8\u6237\u7f51\u7ad9\u786e\u5b9e\u5728 6 \u6708\u5173\u95ed\uff0c\u4f46\u51e0\u5468\u540e\u53c8\u91cd\u65b0\u5f00\u653e\u3002<\/p>\n

8.\u4e3a\u4ec0\u4e48 MrBeast \u8981\u6210\u7acb\u914d\u97f3\u516c\u53f8<\/strong><\/span><\/h3>\n

MrBeast\uff08Jimmy Donaldson \u5728 YouTube \u7684\u7f51\u540d\uff09\u4e8e\u4eca\u5e74 2 \u6708\u5ba3\u5e03\u6210\u7acb Creator Global\uff0c\u8fd9\u662f\u4e00\u5bb6\u4e3a\u5185\u5bb9\u521b\u4f5c\u8005\u63d0\u4f9b\u914d\u97f3\u670d\u52a1\u7684\u516c\u53f8\u3002\u8fd9\u4f4d\u793e\u4ea4\u5a92\u4f53\u5f71\u54cd\u8005\u4ece2021\u5e74\u5e95\u5f00\u59cb\u5728\u81ea\u5df1\u7684\u5185\u5bb9\u4e2d\u6d4b\u8bd5\u4e86YouTube\u7684\u591a\u97f3\u8f68\u97f3\u9891\uff0c\u6db5\u76d6\u4e86\u5341\u591a\u79cd\u8bed\u8a00\uff0c\u4ece\u4e2d\u840c\u751f\u4e86\u63d0\u4f9b\u4efb\u4f55\u8bed\u8a00\u7684\u5feb\u901f\u914d\u97f3\u7684\u60f3\u6cd5\u3002<\/p>\n

YouTube \u7684\u591a\u8f68\u97f3\u9891\u53ef\u5c06\u6240\u6709\u8bed\u8a00\u96c6\u4e2d\u5728\u4e00\u4e2a\u89c6\u9891\u4e2d\uff0c\u7136\u540e\uff0c\u7528\u6237\u53ef\u4ee5\u9009\u62e9\u4e0d\u540c\u7684\u8bed\u8a00\u3002\u6839\u636eYouTube\u7684\u8bf4\u6cd5\uff0c\u8d85\u8fc715%\u7684\u6d4b\u8bd5\u8005\u89c2\u770b\u4e86\u89c6\u9891\u4e2d\u7684\u201c\u975e\u4e3b\u8981\u8bed\u8a00\u201d\u3002<\/p>\n

9.GPT-4\u627f\u8bfa\u63a8\u51fa\u65b0\u7528\u9014<\/strong><\/span><\/h3>\n

OpenAI \u4e8e\u4eca\u5e74 3 \u6708\u63a8\u51fa\u4e86 GPT-4<\/a>\uff0c\u662f\u5176\u8bed\u8a00\u6a21\u578b\u4e2d\u6700\u5148\u8fdb\u7684\u7248\u672c\u3002\u53f8\u8868\u793a\uff0c\u8be5\u6a21\u578b\u201c\u6bd4\u5176\u524d\u8eab\u66f4\u53ef\u9760\u3001\u66f4\u5177\u521b\u9020\u529b\uff0c\u80fd\u591f\u5904\u7406\u66f4\u52a0\u5fae\u5999\u7684\u6307\u4ee4\u201d\u3002GPT-4 \u8fd8\u80fd\u5904\u7406\u56fe\u50cf\u548c\u6587\u672c\u8f93\u5165\u3002<\/p>\n

\u8be5\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5728\u4e0d\u540c\u7684\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u8fdb\u884c\u4e86\u6d4b\u8bd5\uff0c\u5305\u62ec\u8003\u8bd5\u6a21\u62df\uff08\u5982\u5f8b\u5e08\u8003\u8bd5\u548cSAT\uff09\u3002GPT-4\u5728\u673a\u5668\u7ffb\u8bd1\u6027\u80fd\u65b9\u9762\u4e5f\u4f18\u4e8e\u5148\u524d\u7684\u6a21\u578b\u7248\u672c\uff1a\u572826\u79cd\u8bed\u8a00\u4e2d\uff0c\u5305\u62ec\u62c9\u8131\u7ef4\u4e9a\u8bed\u3001\u5a01\u5c14\u58eb\u8bed\u548c\u65af\u74e6\u5e0c\u91cc\u8bed\u7b49\u4f4e\u8d44\u6e90\u8bed\u8a00\uff0cGPT-4\u572824\u79cd\u8bed\u8a00\u4e2d\u4f18\u4e8eGPT-3.5\u548c\u5176\u4ed6\u5927\u578b\u8bed\u8a00\u6a21\u578b\u3002<\/p>\n

10.WIPO\u4e3a\u7ffb\u8bd1\u7814\u7a76\u6bd5\u4e1a\u751f\u63d0\u4f9b\u6bcf\u67085,000\u7f8e\u5143\u7684\u65e5\u5185\u74e6\u5956\u5b66\u91d1<\/strong><\/span><\/h3>\n

\u4e16\u754c\u77e5\u8bc6\u4ea7\u6743\u7ec4\u7ec7\uff08WIPO\uff092023\u5e74\u4e00\u8f6ePCT\u7814\u7a76\u751f\u5956\u5b66\u91d1\u8ba1\u5212\u4e8e1\u6708\u5f00\u59cb\u63a5\u53d7\u7533\u8bf7<\/a>\u3002\u7814\u7a76\u91d1\u8ba1\u5212\u4e00\u822c\u4e3a\u671f\u81f3\u5c11\u4e09\u4e2a\u6708\uff0c\u5728\u745e\u58eb\u65e5\u5185\u74e6WIPO\u603b\u90e8\u8fdb\u884c\u3002\u83b7\u5956\u8005\u6bcf\u6708\u5c06\u83b7\u5f975,000\u745e\u58eb\u6cd5\u90ce\uff085,410\u7f8e\u5143\uff09\u7684\u751f\u6d3b\u6d25\u8d34\u3002<\/p>\n

\u7ecf\u8fc7\u521d\u6b65\u7b5b\u9009\uff0c\u5165\u56f4\u5019\u9009\u4eba\u5fc5\u987b\u53c2\u52a0\u672f\u8bed\u3001\u7ffb\u8bd1\u6216\u80fd\u529b\u6d4b\u8bd5\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u4ed6\u4eec\u6240\u9009\u62e9\u7684\u65b9\u5411\u3002<\/p>\n

\uff08\u673a\u5668\u7ffb\u8bd1\uff0c\u8f7b\u5ea6\u8bd1\u540e\u7f16\u8f91\uff0c\u4ec5\u4f9b\u53c2\u8003\u3002\uff09<\/span><\/p>\n

\n<\/section>\n

\u539f\u6587\u94fe\u63a5<\/a><\/p>\n

\u7f16\u8f91\uff1a\u5218\u715c\u73cd<\/span><\/p>\n

\n","protected":false},"excerpt":{"rendered":"

\u968f\u7740 2023 \u5e74\u4eba\u5de5\u667a\u80fd\u7a81\u7834\u5e74\u7684\u5230\u6765\uff0c\u8bed\u8a00\u670d\u52a1\u884c\u4e1a\u6b63\u4ee5\u8c28\u614e\u4e50\u89c2\u548c”\u6700\u597d\u505a\u597d\u51c6\u5907”\u7684\u6001 […]<\/p>\n","protected":false},"author":1,"featured_media":24956,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[391],"tags":[],"class_list":["post-24931","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-391"],"_links":{"self":[{"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/posts\/24931","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/linguaresources.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=24931"}],"version-history":[{"count":4,"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/posts\/24931\/revisions"}],"predecessor-version":[{"id":24957,"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/posts\/24931\/revisions\/24957"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/media\/24956"}],"wp:attachment":[{"href":"https:\/\/linguaresources.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=24931"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/linguaresources.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=24931"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/linguaresources.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=24931"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}