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2024\u5e7409\u670819\u65e5 22:45<\/em>\u00a0<\/span>\u56db\u5ddd<\/span><\/em><\/span><\/section>\n

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\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u7528\u4e8e\u7406\u89e3\u548c\u751f\u6210\u81ea\u7136\u8bed\u8a00\u548c\u7f16\u7a0b\u8bed\u8a00\u7684\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u3002\u5b83\u53ef\u4ee5\u5e2e\u52a9\u5b8c\u6210\u9002\u7528\u7a0b\u5ea6\u548c\u6210\u672c\u6548\u7387\u4e0d\u540c\u7684\u5404\u79cd\u4efb\u52a1\u3002\u672c\u6587\u901a\u8fc7\u6d4b\u8bd5\u6765\u81ea\u540c\u4e00\u57fa\u7840\u6a21\u578b\u7684\u591a\u4e2a\u72ec\u7acb\u6a21\u578b\uff0c\u4ee5\u627e\u5230\u6700\u4f73\u7684\u5927\u8bed\u8a00\u6a21\u578b\u3002<\/span><\/p>\n
\u8fd9\u4e00\u6280\u672f\u9886\u57df\u53d1\u5c55\u8fc5\u731b\uff0c\u5c3d\u7ba1\u672c\u6587\u5df2\u5c3d\u53ef\u80fd\u4fdd\u6301\u65f6\u6548\u6027\uff0c\u4e5f\u8fd8\u662f\u9700\u8981\u8bfb\u8005\u968f\u65f6\u5173\u6ce8\u6700\u65b0\u53d1\u5e03\u7684\u6a21\u578b\uff0c\u6839\u636e\u6210\u672c\u6548\u76ca\u5224\u65ad\u8be5\u6a21\u578b\u662f\u5426\u66f4\u4f73\u3002<\/span><\/p>\n
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2024\u5e74\u5ea6\u6700\u4f73\u5927\u8bed\u8a00\u6a21\u578b<\/strong><\/span><\/section>\n<\/section>\n
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1. \u7efc\u5408\u8bc4\u4f30\u6700\u4f73\uff1aOpenAI\u7684GPT<\/span><\/strong><\/span><\/h2>\n
\u5b98\u65b9\u7f51\u7ad9\uff1a<\/span>https:\/\/openai.com\/<\/p>\n
$\"\"$ <\/p>\n
\u56fe\u7247\u6765\u6e90\uff1aUnsplash<\/span><\/p>\n
\n
\u57fa\u4e8e\u8f6c\u6362\u5668\uff08Transformer\uff09\u7684\u751f\u6210\u5f0f\u9884\u8bad\u7ec3\u6a21\u578b\uff08Generative pre-trained transformer, GPT\uff09\uff0c\u662f\u76ee\u524d\u8ba9\u79d1\u6280\u516c\u53f8\u7684\u5927\u8bed\u8a00\u6a21\u578b\u5f97\u4ee5\u6295\u653e\u5230\u5e02\u573a\u4e0a\u7684\u57fa\u7840\u6a21\u578b\u4e4b\u4e00\u3002\u867d\u7136\u76ee\u524d\u6709\u51e0\u79cd\u4e0d\u540c\u7c7b\u578b\u7684GPT\u53ef\u7528\uff0c\u4f46\u7b2c\u4e00\u4e2a\uff0c\u4e5f\u53ef\u4ee5\u8bf4\u662f\u6700\u77e5\u540d\u7684\uff0c\u662fOpenAI\u57282018\u5e74\u63a8\u51fa\u7684GPT-1\u3002<\/span><\/p>\n
OpenAI\u662fGPT\u5f00\u53d1\u7684\u5f15\u9886\u8005\uff0c\u5df2\u5728\u8fc7\u53bb\u51e0\u5e74\u53d1\u5e03\u4e86\u51e0\u4e2a\u4e0d\u540c\u7684\u7248\u672c\u4f9b\u516c\u4f17\u4f7f\u7528\u3002\u867d\u7136\u6bcf\u6b21\u6539\u7248\u90fd\u66f4\u667a\u80fd\u4e14\u529f\u80fd\u66f4\u591a\u6837\uff0c\u4f46\u4e5f\u4f34\u968f\u6027\u80fd\u964d\u4f4e\u3001\u54cd\u5e94\u901f\u5ea6\u53d8\u6162\u548c\u4f7f\u7528\u6210\u672c\u589e\u52a0\u7b49\u95ee\u9898\u3002GPT-3.5\u54cd\u5e94\u5feb\u901f\u4e14\u4ef7\u683c\u5b9e\u60e0\uff0c\u4f46\u7ecf\u5e38\u51fa\u9519\uff1b\u800cGPT-4\u867d\u6539\u5584\u4e86\u6a21\u578b\u529f\u80fd\u548c\u667a\u80fd\u7a0b\u5ea6\uff0c\u4f46\u4f7f\u7528\u6210\u672c\u589e\u52a0\uff0c\u54cd\u5e94\u901f\u5ea6\u53d8\u6162\u3002\u4e0d\u8fc7\uff0c\u6700\u65b0\u7248\u672cGPT-4o\u9006\u52bf\u800c\u4e0a\uff0c\u6210\u4e3a\u8fc4\u4eca\u4e3a\u6b62\u6700\u4e3a\u667a\u80fd\u7684\u7248\u672c\uff0c\u5e76\u5927\u5927\u964d\u4f4e\u4e86\u4f7f\u7528\u6210\u672c\uff0c\u540c\u65f6\u63d0\u9ad8\u4e86\u54cd\u5e94\u901f\u5ea6\u3002<\/span><\/p>\n
\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u4e0e\u76ee\u524d\u5e02\u573a\u4e0a\u7684\u6240\u6709\u5927\u8bed\u8a00\u6a21\u578b\u4e00\u6837\uff0cGPT\u6a21\u578b\u4e5f\u4e0d\u53ef\u907f\u514d\u5730\u4f1a\u51fa\u73b0\u9519\u8bef\u3001\u6b67\u4e49\u6216\u8bef\u5bfc\u7b49\u95ee\u9898\u3002\u867d\u7136\u6700\u65b0\u7248\u672c\u51c6\u786e\u5ea6\u66f4\u9ad8\uff0c\u4e0d\u592a\u53ef\u80fd\u751f\u6210\u9519\u8bef\u56de\u590d\uff0c\u4f46\u7528\u6237\u8fd8\u662f\u5e94\u8be5\u8c28\u614e\u53c2\u8003\uff0c\u53e6\u884c\u9a8c\u8bc1\u5176\u51c6\u786e\u6027\u3002<\/span><\/p>\n
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2. \u6700\u4f73\u7f16\u7a0b\u52a9\u624b\uff1aGitHub Copilot<\/span><\/strong><\/span><\/h2>\n
\u5b98\u65b9\u7f51\u7ad9\uff1a<\/span>https:\/\/github.com\/features\/c<\/span><\/p>\n
o<\/span>pilot<\/span><\/p>\n
$\"\"$ <\/p>\n
\u56fe\u7247\u6765\u6e90\uff1aCopilot<\/span><\/p>\n
\n
GitHub\u662f\u76ee\u524d\u6700\u5927\u4e14\u6700\u77e5\u540d\u7684\u5f00\u53d1\u8005\u5e73\u53f0\u4e4b\u4e00\u3002\u8bb8\u591a\u7528\u6237\u548c\u4f01\u4e1a\u4f7f\u7528\u5b83\u6765\u5b58\u50a8\u3001\u7ba1\u7406\u548c\u5171\u4eab\u4ee3\u7801\u5e93\uff0c\u56e0\u6b64\u4ed6\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u7f16\u7a0b\u7684\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u4ee5\u5e2e\u52a9\u5f00\u53d1\u8005\u63d0\u9ad8\u5de5\u4f5c\u901f\u5ea6\u548c\u6548\u7387\u3002GitHub Copilot\u662f\u7531OpenAI\u7684GPT-4\u6a21\u578b\u9a71\u52a8\u7684\u7f16\u7a0b\u52a9\u624b\uff0c\u53ef\u5728\u5e38\u7528\u7684\u96c6\u6210\u5f00\u53d1\u73af\u5883\uff08integrated development environment, IDE\uff09\u4e2d\u901a\u8fc7\u5b89\u88c5\u63d2\u4ef6\u4f7f\u7528\uff0c\u5982Visual Studio Code, Visual Studio, Vim, Neovim,\u00a0<\/span>JetBrains<\/span>\u7684IDE\u548cAzure Data Studio\u3002\u6b64\u5916\uff0c\u4e0e\u5176\u4ed6\u7f16\u7a0b\u52a9\u624b\u4e0d\u540c\uff0cGitHub Copilot\u80fd\u591f\u539f\u751f\u96c6\u6210\u5230GitHub\u3002<\/span><\/span><\/p>\n
\u6700\u5f15\u4eba\u6ce8\u76ee\u7684\u529f\u80fd\u4e4b\u4e00\u662fGitHub Copilot\u80fd\u591f\u4f7f\u7528\u63d0\u793a\u6765\u751f\u6210\u4ee3\u7801\uff0c\u8fd9\u4e9b\u4ee3\u7801\u53ef\u4ee5\u662f\u5168\u65b0\u7684\uff0c\u4e5f\u53ef\u4ee5\u57fa\u4e8e\u9879\u76ee\u73b0\u6709\u7684\u4ee3\u7801\u5e93\uff0c\u901a\u8fc7\u5efa\u8bae\u6574\u4e2a\u4ee3\u7801\u5757\u6216\u5728\u952e\u5165\u65f6\u81ea\u52a8\u586b\u5145\u4ee3\u7801\u3002GitHub\u8868\u793a\uff0c\u8be5\u6a21\u578b\u5df2\u7ecf\u4f7f\u7528\u5f00\u6e90\u4ee3\u7801\u5e93\uff08\u5305\u62ecGitHub\u7684\u5f00\u6e90\u4ee3\u7801\u5e93\uff09\u7684\u6e90\u4ee3\u7801\u8fdb\u884c\u4e86\u8bad\u7ec3\uff0c\u5e76\u58f0\u79f0GitHub Copilot\u53ef\u4ee5\u652f\u6301\u5f00\u6e90\u4ee3\u7801\u5e93\u4e2d\u51fa\u73b0\u7684\u4efb\u4f55\u8bed\u8a00\u3002\u7136\u800c\uff0cGitHub\u4e5f\u63d0\u5230\uff0cGitHub Copilot\u7684\u5efa\u8bae\u7684\u8d28\u91cf\u53d6\u51b3\u4e8e\u8be5\u8bed\u8a00\u53ef\u7528\u7684\u8bad\u7ec3\u6570\u636e\u91cf\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u5728\u4f7f\u7528\u6a21\u7cca\u6216\u8f83\u5c11\u4f7f\u7528\u7684\u7f16\u7a0b\u8bed\u8a00\u65f6\uff0c\u867d\u7136GitHub Copilot\u4e5f\u4f1a\u63d0\u4f9b\u5efa\u8bae\uff0c\u4f46\u8d28\u91cf\u4e0d\u5982\u66f4\u5e38\u89c1\u7684\u8bed\u8a00\u3002<\/span><\/p>\n
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\n<\/section>\n
3. \u6700\u6709\u4ef7\u503c\uff1aMeta LLama 3<\/span><\/strong><\/span><\/h2>\n
\u5b98\u65b9\u7f51\u7ad9\uff1a<\/span>https:\/\/llama.meta.com\/<\/p>\n
$\"\"$ <\/p>\n
\u56fe\u7247\u6765\u6e90\uff1aMeta<\/span><\/p>\n
\n
Meta\u88ab\u5217\u4e3a\u5168\u7403\u4e94\u5927\u79d1\u6280\u516c\u53f8\u4e4b\u4e00\uff0c\u4e00\u76f4\u5728\u5f00\u53d1\u81ea\u5df1\u7684\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u4ee5\u652f\u6301\u5176\u4ea7\u54c1\u3001\u5927\u5c0f\u578b\u4f01\u4e1a\uff0c\u4ee5\u53ca\u5b66\u672f\u7814\u7a76\u7b49\u5e94\u7528\u3002Llama\u7684\u521d\u59cb\u7248\u672c\u4e8e2023\u5e742\u6708\u53d1\u5e03\uff0c\u4f46\u4ec5\u9650\u5b66\u672f\u754c\u3001\u653f\u5e9c\u90e8\u95e8\u548c\u7814\u7a76\u56e2\u961f\u7528\u4e8e\u7279\u5b9a\u9700\u6c42\u3002\u968f\u540e\uff0cLlama 2\u548cLlama 3\u5148\u540e\u53d1\u5e03\u4e8e2023\u5e747\u6708\u548c2024\u5e744\u6708\u3002\u4e0e\u5176\u4ed6\u7ade\u54c1\u76f8\u6bd4\uff0cLlama 3\u5728\u6210\u672c\u6548\u76ca\u65b9\u9762\u6781\u5177\u7ade\u4e89\u529b\uff0c\u8fd9\u4e5f\u662f\u5176\u4e00\u5927\u5356\u70b9\u3002\u867d\u7136\u529f\u80fd\u53ef\u80fd\u4e0d\u53caGPT-4o\uff0c\u4f46\u5b83\u4ecd\u662f\u6027\u80fd\u975e\u5e38\u5f3a\u5927\u7684\u6a21\u578b\uff0c\u80fd\u7528\u8f83\u5c11\u6210\u672c\u5b9e\u73b0GPT-4o\u4e2d\u7684\u90e8\u5206\u529f\u80fd\u3002<\/span><\/p>\n
Meta\u6b63\u5728\u5f00\u53d1\u66f4\u52a0\u5e9e\u5927\u7684Llama 3-400B\uff0c\u5176\u9996\u5e2d\u4eba\u5de5\u667a\u80fd\u79d1\u5b66\u5bb6\u6768\u4e50\u6625\uff08Yann LeCun\uff09\u8ba4\u4e3a\uff0c\u4e00\u65e6\u53d1\u5e03\uff0c\u5b83\u5c06\u6210\u4e3a\u4e16\u754c\u4e0a\u6700\u5f3a\u5927\u7684\u5927\u8bed\u8a00\u6a21\u578b\u4e4b\u4e00\u3002<\/span><\/p>\n
\n
\n<\/section>\n
4. \u5546\u52a1\u9886\u57df\u6700\u4f73\uff1a<\/span>Claude<\/span>\u00a03<\/span><\/span><\/strong><\/span><\/h2>\n
\u5b98\u65b9\u7f51\u7ad9\uff1a<\/span>https:\/\/www.anthropic.com\/cl<\/p>\n
a<\/span>ude<\/span><\/p>\n
$\"\"$ <\/p>\n
\u56fe\u7247\u6765\u6e90\uff1aAnthropic<\/span><\/p>\n
\n
Claude 3\u53d1\u5e03\u4e8e2024\u5e743\u6708\uff0c\u662fAnthropic\u7684\u5927\u8bed\u8a00\u6a21\u578bClaude\u7684\u6700\u65b0\u7248\u672c\u3002\u8be5\u7248\u672c\u57fa\u4e8e2023\u5e747\u6708\u53d1\u5e03\u7684Claude 2 \u8fdb\u884c\u6539\u5584\u3002Claude 3\u6709Haiku\uff0cSonnet\u548cOpus\u4e09\u4e2a\u7248\u672c\uff0c\u6bcf\u4e2a\u7248\u672c\u7684\u6027\u80fd\u548c\u6210\u672c\u90fd\u6709\u6240\u4e0d\u540c\u3002<\/span><\/p>\n
Anthropic\u79f0\uff0c\u4f5c\u4e3aClaude 3\u4e2d\u6700\u6602\u8d35\u7684\u7248\u672c\uff0cClaude 3 Opus\u9664\u4e86\u64c5\u957f\u5904\u7406\u5927\u6570\u636e\u4e4b\u5916\uff0c\u8fd8\u662f\u76ee\u524d\u5e02\u573a\u4e0a\u6700\u667a\u80fd\u7684\u6a21\u578b\uff0c\u53ef\u57fa\u4e8e\u88ab\u8d4b\u4e88\u7684\u4efb\u52a1\u5c55\u73b0\u51fa\u4e00\u5b9a\u7a0b\u5ea6\u7684\u8ba4\u77e5\u80fd\u529b\u3002<\/span><\/p>\n
\u5728\u4e00\u9879\u6d4b\u8bd5\u4e2d\uff0c\u5de5\u7a0b\u5e08Alex Albert\u8981\u6c42Claude 3 Opus\u4ece\u968f\u673a\u7684\u6587\u6863\u96c6\u5408\u91cc\u627e\u51fa\u9690\u85cf\u7684\u7279\u5b9a\u53e5\u5b50\uff0c\u8fd9\u7b80\u76f4\u662f\u201c\u5927\u6d77\u635e\u9488\u201d\u3002\u53efClaude 3 Opus\u4e0d\u4ec5\u627e\u5230\u4e86\u201c\u9488\u201d\uff0c\u8fd8\u6307\u51fa\u76ee\u6807\u53e5\u5b50\u5728\u6587\u4e2d\u7684\u4f4d\u7f6e\u6b20\u59a5\uff0c\u4ece\u800c\u63a8\u6d4b\u8be5\u53e5\u5b50\u662f\u4e3a\u4e86\u6d4b\u8bd5\u624d\u88ab\u653e\u5728\u8fd9\u91cc\u3002\u8fd9\u5230\u5e95\u662f\u56e0\u4e3aClaude 3 Opus\u771f\u7684\u6709\u8ba4\u77e5\u80fd\u529b\uff0c\u8fd8\u662f\u5b83\u4e0d\u8fc7\u5728\u8bd5\u56fe\u6a21\u4eff\u4eba\u7c7b\u7684\u667a\u6167\uff1f\u6211\u4eec\u4ecd\u4e0d\u5f97\u800c\u77e5\u3002\u4f46\u5927\u8bed\u8a00\u6a21\u578b\u6709\u5982\u6b64\u8d85\u5e38\u7684\u8ba4\u77e5\u6c34\u5e73\u4ecd\u4ee4\u4eba\u5341\u5206\u9707\u60ca\u3002<\/span><\/p>\n
\u9887\u9ad8\u7684\u6210\u672c\u5bfc\u81f4Claude 3 Opus\u7f3a\u4e4f\u4e00\u5b9a\u7684\u7ade\u4e89\u529b\u3002Claude 3 Opus\u901a\u8fc7\u5176API\u6bcf\u767e\u4e07\u4e2a\u8f93\u51fa\u7b26\u53f7\u7684\u6210\u672c\u4e3a75\u7f8e\u5143\uff0c\u8fd9\u6bd4GPT-4 Turbo\u768430\u7f8e\u5143\u6216Llama 3\u76840.9\u7f8e\u5143\u8981\u9ad8\u5f97\u591a\u3002\u867d\u7136Claude 3\u7684Haiku\u548cSonnet\u7248\u672c\u4ef7\u683c\u66f4\u4fbf\u5b9c\u4e14\u54cd\u5e94\u901f\u5ea6\u66f4\u5feb\uff0c\u4f46\u5b83\u4eec\u7684\u667a\u80fd\u6c34\u5e73\u76f8\u5bf9\u8f83\u4f4e\u3002<\/span><\/p>\n

<\/span><\/strong><\/span><\/h2>\n
5. \u6700\u9002\u5408\u5f53\u804a\u5929\u673a\u5668\u4eba\uff1aQwen<\/span><\/strong><\/span><\/h2>\n
\u5b98\u65b9\u7f51\u7ad9\uff1a<\/span>https:\/\/qwen.readthedocs.io\/z<\/p>\n
h<\/span>-cn\/latest\/index.html#<\/span><\/p>\n
$\"\"$ <\/p>\n
\u56fe\u7247\u6765\u6e90\uff1aQwen<\/span><\/p>\n
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\u963f\u91cc\u5df4\u5df4\u4e8e2024\u5e742\u6708\u53d1\u5e03\u4e86\u5927\u8bed\u8a00\u6a21\u578bQwen-1.5\uff0c\u76ee\u6807\u662f\u5728\u6210\u672c\u548c\u6027\u80fd\u65b9\u9762\u5747\u53ef\u4e0e\u8c37\u6b4c\u7684Gemini\u548cMeta\u7684Llama\u76f8\u5ab2\u7f8e\u3002\u9664\u4e86\u57fa\u7840\u6a21\u578b\u5916\uff0c\u963f\u91cc\u5df4\u5df4\u8fd8\u53d1\u5e03\u4e86\u9488\u5bf9\u804a\u5929\u573a\u666f\u4f18\u5316\u7684Qwen-1.5-chat\u6a21\u578b\u3002<\/span><\/p>\n
Qwen-1.5\u662f\u53ef\u514d\u8d39\u4e0b\u8f7d\u7684\u5f00\u6e90\u6a21\u578b\uff0c\u8fd8\u63d0\u4f9b\u4e0e\u5404\u79cd\u8bbe\u5907\u517c\u5bb9\u7684\u4e0d\u540c\u5927\u5c0f\u7248\u672c\u3002Qwen-1.5 chat\u529f\u80fd\u6700\u5f3a\u5927\u7684\u7248\u672c\u6709720\u4ebf\u4e2a\u53c2\u6570\uff0c\u6700\u5c0f\u7248\u672c\u67095\u4ebf\u4e2a\u53c2\u6570\u3002Qwen-1.5\u7684\u8f93\u5165\u7b26\u53f7\uff08token\uff09\u9650\u5236\u4e3a32K\uff0814B\u6a21\u578b\u9650\u5236\u4e3a8K\uff09\uff0c\u4e0eGPT-4\u6301\u5e73\uff0c\u8fdc\u9ad8\u4e8eLlama 2\u76844096\u4e2atoken\uff0c\u8fd9\u5728\u5e02\u9762\u4e0a\u7684\u5927\u8bed\u8a00\u6a21\u578b\u4e2d\u5c5e\u4e8e\u8f83\u9ad8\u7684\u8f93\u51fa\u9650\u5236\u3002<\/span><\/p>\n
\u5728\u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0cQwen-1.5\u5728\u5927\u591a\u6570\u573a\u666f\u4e2d\u7a33\u8d85Llama 2\uff0c\u540c\u65f6\u5728\u4e0eGPT-4\u7684\u5bf9\u6bd4\u4e2d\u4e5f\u53d6\u5f97\u4e86\u6709\u7ade\u4e89\u529b\u7684\u8868\u73b0\u3002Qwen-1.5\u80fd\u4ee5\u8f83\u4f4e\u6210\u672c\u63d0\u4f9b\u63a5\u8fd1GPT-4\u7684\u80fd\u529b\uff0c\u8fd8\u80fd\u901a\u8fc7\u81ea\u5b9a\u4e49\u6570\u636e\u96c6\u8fdb\u884c\u5fae\u8c03\uff0c\u4ee5\u9002\u5e94\u7279\u5b9a\u7684\u4f7f\u7528\u9700\u6c42\u3002<\/span><\/p>\n
\u5728\u5ba2\u6237\u652f\u6301\u573a\u666f\u4e2d\uff0cQwen-1.5\u80fd\u591f\u6bd4\u4f20\u7edf\u7684\u57fa\u4e8e\u5173\u952e\u8bcd\u6216\u89c4\u5219\u7684\u804a\u5929\u673a\u5668\u4eba\u66f4\u7406\u89e3\u5ba2\u6237\u53ef\u80fd\u9047\u5230\u7684\u95ee\u9898\uff0c\u4ece\u800c\u63d0\u9ad8\u9996\u6b21\u8054\u7cfb\u89e3\u51b3\u7387\uff0c\u5e76\u5c06\u66f4\u590d\u6742\u6216\u9ad8\u7ea7\u7684\u95ee\u9898\u5347\u7ea7\u5230\u4e8c\u7ebf\u652f\u6301\u4ee3\u7406\u3002Qwen-1.5\u80fd\u4f7f\u752835\u79cd\u8bed\u8a00\u8fdb\u884c\u4ea4\u6d41\uff0c\u53ef\u63d0\u4f9b\u8d85\u8fc7150\u79cd\u8bed\u8a00\u7684\u7ffb\u8bd1\u670d\u52a1\u3002<\/span><\/p>\n
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6. \u6700\u4f73\u591a\u6a21\u5f0f\u7efc\u5408\u4f53\uff1aGPT-4o<\/span><\/strong><\/span><\/h2>\n
\u5b98\u65b9\u7f51\u7ad9\uff1a<\/span>https:\/\/openai.com\/index\/hell<\/p>\n
o<\/span>-gpt-4o\/<\/span><\/p>\n
$\"\"$ <\/p>\n
\u56fe\u7247\u6765\u6e90\uff1aOpenAI<\/span><\/p>\n
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OpenAI\u662f\u76ee\u524d\u6700\u77e5\u540d\u7684\u5927\u8bed\u8a00\u6a21\u578b\u516c\u53f8\u4e4b\u4e00\uff0c\u5df2\u53d1\u5e03\u7684\u6a21\u578b\u5305\u62ec\u56fe\u50cf\u751f\u6210\u5de5\u5177DALL-E\u548c\u57fa\u4e8eGPT-3.5\u548cGPT-4\u7684\u804a\u5929\u673a\u5668\u4eba<\/span>ChatGPT<\/span>\u3002<\/span><\/span><\/p>\n
OpenAI\u7684\u6700\u65b0\u4ea7\u54c1GPT-4o\u53d1\u5e03\u4e8e2024\u5e745\u6708\uff0c\u8be5\u6a21\u578b\u901a\u8fc7\u6dfb\u52a0\u6587\u672c\u3001\u56fe\u50cf\u548c\u97f3\u9891\u96c6\u6210\uff0c\u6269\u5c55\u4e86GPT-4 Turbo\u7684\u591a\u6a21\u6001\u529f\u80fd\uff0c\u540c\u65f6\u8fdb\u4e00\u6b65\u964d\u4f4e\u4e86\u6210\u672c\uff0c\u80fd\u591f\u627f\u62c5\u591a\u7ef4\u4efb\u52a1\u3002OpenAI\u79f0\uff0c\u4e0eGPT-4 Turbo\u76f8\u6bd4\uff0cGPT-4o\u7684\u8fd0\u884c\u901f\u5ea6\u662f\u5176\u4e24\u500d\uff0c\u6210\u672c\u662f\u5176\u4e00\u534a\uff0c\u5e76\u4e14\u5177\u6709\u4e94\u500d\u7684\u901f\u7387\u4e0a\u9650\u3002<\/span><\/p>\n
GPT-4o\u4e2d\u6700\u91cd\u8981\u7684\u5347\u7ea7\u4e4b\u4e00\u662f\u8bed\u97f3\u6a21\u5f0f\uff0c\u5b83\u5141\u8bb8\u6a21\u578b\u5b9e\u65f6\u5904\u7406\u97f3\u9891\uff0c\u5e76\u4ee5\u4eba\u7c7b\u7684\u58f0\u97f3\u8f93\u51fa\u903c\u771f\u7684\u3001\u8bed\u8c03\u5408\u9002\u7684\u54cd\u5e94\uff0c\u7528\u6237\u4eff\u4f5b\u5728\u4e0e\u771f\u4eba\u804a\u5929\u3002\u6b64\u5916\uff0cGPT-4o\u53ef\u4ee5\u5229\u7528\u76f8\u673a\u6765\u5206\u6790\u5468\u56f4\u7684\u73af\u5883\uff0c\u4ee5\u6dfb\u52a0\u8bed\u5883\u3002OpenAI\u5728GPT-4o\u53d1\u5e03\u516c\u544a\u7684\u540c\u65f6\uff0c\u4ee5\u89c6\u9891\u5f62\u5f0f\u6f14\u793a\u4e86\u97f3\u9891\u6a21\u5f0f\u548c\u89c6\u89c9\u529f\u80fd\uff0c\u4f46\u8fd9\u4e9b\u529f\u80fd\u8fd8\u4e0d\u80fd\u88ab\u5e7f\u6cdb\u4f7f\u7528\u3002<\/span><\/p>\n

<\/span><\/strong><\/span><\/h2>\n
7. \u6700\u4f73\u7ffb\u8bd1\uff1aGoogle Gemini<\/span><\/strong><\/span><\/h2>\n
\u5b98\u65b9\u7f51\u7ad9\uff1a<\/span>https:\/\/gemini.google.com\/<\/p>\n
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\u56fe\u7247\u6765\u6e90\uff1aGoogle<\/span><\/p>\n
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Gemini 1.5\u53d1\u5e03\u4e8e2024\u5e742\u6708\uff0c\u5176\u521d\u59cb\u7248\u672c\u4e3aGemini\u5927\u8bed\u8a00\u6a21\u578b\u3002\u622a\u81f32024\u5e745\u6708\uff0c\u53ef\u4f9b\u4f7f\u7528\u7684Gemini 1.5 \u5305\u62ecPro\u548cFlash\u4e24\u4e2a\u7248\u672c\u3002<\/span><\/p>\n
Gemini\u4e0d\u662f\u7ffb\u8bd1\u5f15\u64ce\uff0c\u4f46\u53ef\u4ee5\u901a\u8fc7\u8bbf\u95ee\u8c37\u6b4c\u7ffb\u8bd1\u7684\u591a\u8bed\u8a00\u8bad\u7ec3\u6570\u636e\uff0c\u518d\u5229\u7528\u81ea\u8eab\u7684\u5927\u8bed\u8a00\u6a21\u578b\u529f\u80fd\uff0c\u4ee5\u83b7\u53d6\u66f4\u81ea\u7136\u6d41\u7545\u7684\u8bd1\u6587\u3002\u8fd9\u79cd\u7ed3\u5408\u610f\u5473\u7740Gemini 1.5\u53ef\u4ee5\u4e3a\u8c37\u6b4c\u7ffb\u8bd1\u7684\u6240\u6709\u8bed\u8a00\u63d0\u4f9b\u7ffb\u8bd1\u670d\u52a1\u3002\u4e0d\u8fc7\uff0c\u5176\u8bd1\u6587\u7684\u6d41\u7545\u5ea6\u53d6\u51b3\u4e8e\u6a21\u578b\u7684\u591a\u8bed\u8a00\u8bad\u7ec3\u6570\u636e\u7684\u6c34\u5e73\uff0c\u8fd9\u4e5f\u662f\u5176\u4ed6\u5927\u8bed\u8a00\u6a21\u578b\u7684\u9650\u5236\u6240\u5728\u3002\u867d\u7136\u5176\u4ed6\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u5982GPT-4o\uff0c\u4e5f\u63d0\u4f9b\u4e86\u4e00\u4e9b\u7ffb\u8bd1\u529f\u80fd\uff0c\u4f46Gemini 1.5 \u7684\u4f18\u52bf\u5728\u4e8e\u6210\u672c\u66f4\u4f4e\u3002<\/span><\/p>\n
Gemini 1.5 Pro\u53ef\u9650\u91cf\u514d\u8d39\u4f7f\u7528\u3002\u82e5\u8f93\u5165\u8d85\u8fc7\u4e00\u767e\u4e07\u4e2atoken\u4e14\u83b7\u53d6\u66f4\u9ad8\u901f\u7387\uff0c\u5219\u9700\u8981\u7528\u6237\u8ba2\u8d2d\u3002<\/span><\/p>\n
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\u5982\u4f55\u9009\u62e9\u9002\u5408\u81ea\u5df1\u7684\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u6700\u4e3b\u8981\u53d6\u51b3\u4e8e\u6027\u4ef7\u6bd4\u3002\u867d\u7136ChatGPT-4o\u7684\u6027\u80fd\u975e\u5e38\u51fa\u8272\uff0c\u51e0\u4e4e\u6db5\u76d6\u5176\u4ed6\u6240\u6709\u5927\u8bed\u8a00\u6a21\u578b\u80fd\u5b8c\u6210\u7684\u4efb\u52a1\uff0c\u4f46\u6210\u672c\u8f83\u9ad8\u3002Claude 3\u867d\u7136\u4e0d\u50cfCopilot\u90a3\u6837\u4e13\u95e8\u4f7f\u7528\u7f16\u7a0b\u6570\u636e\u8fdb\u884c\u8bad\u7ec3\uff0c\u4f46\u5176\u7f16\u5199\u4ee3\u7801\u7684\u80fd\u529b\u4e5f\u76f8\u5f53\u51fa\u8272\u3002\u5176\u6b21\uff0c\u8981\u8003\u8651\u6570\u636e\u7684\u8bbf\u95ee\u6743\u9650\u548c\u62e5\u6709\u6743\u3002\u7528\u6237\u53ef\u901a\u8fc7OpenAI\u521b\u5efa\u52a9\u624b\u6765\u8bad\u7ec3\u81ea\u5df1\u7684\u804a\u5929\u673a\u5668\u4eba\uff0c\u4f46\u6700\u7ec8\u8fd8\u662f\u4f1a\u7528\u5230OpenAI\u3002\u82e5\u4f7f\u7528\u5f00\u6e90\u6a21\u578b\uff0c\u7528\u6237\u53ef\u4ee5\u4fdd\u7559\u6570\u636e\u5e76\u5b8c\u5168\u62e5\u6709\u81ea\u5df1\u7684\u8bad\u7ec3\u6a21\u578b\u3002<\/span><\/p>\n
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\u5927\u8bed\u8a00\u6a21\u578b Large Language Model\uff0cLLM<\/span><\/p>\n<\/li>\n
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\u751f\u6210\u5f0f\u9884\u8bad\u7ec3\u673a\u5668\u5b66\u4e60\u6a21\u578b The Generative Pre-trained Transformer\uff0cGPT<\/span><\/p>\n<\/li>\n
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\u96c6\u6210\u5f00\u53d1\u73af\u5883 Integrated Development Environment\uff0cIDE<\/span><\/p>\n<\/li>\n<\/ol>\n
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\u58f0\u660e\uff1a\u672c\u516c\u4f17\u53f7\u8f6c\u8f7d\u6b64\u6587\u7ae0\u662f\u51fa\u4e8e\u4f20\u64ad\u884c\u4e1a\u8d44\u8baf\u3001\u6d1e\u89c1\u4e4b\u76ee\u7684\uff0c\u5982\u6709\u4fb5\u72af\u5230\u60a8\u7684\u5408\u6cd5\u6743\u76ca\uff0c\u8bf7\u81f4\u4fe1\uff1a532541801@qq.com\uff0c\u6211\u4eec\u5c06\u53ca\u65f6\u8c03\u6574\u5904\u7406\u3002\u8c22\u8c22\u652f\u6301\uff01<\/span><\/section>\n
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\u3010\u8bed\u8a00\u670d\u52a1\u884c\u4e1a\u3011\u5206\u4eab\u7fa4<\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n
\u7fa4\u5185\u4f1a\u5b9a\u671f\u63a8\u9001\u8bed\u8a00\u670d\u52a1\u884c\u4e1a\u6700\u65b0\u52a8\u6001\u3001\u6d3b\u52a8\u9884\u544a\u3001\u7ade\u8d5b\u901a\u77e5\ud83d\udcdd\u7b49\u5185\u5bb9~<\/span><\/span><\/p>\n
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-END-<\/span><\/strong><\/section>\n<\/section>\n<\/section>\n","protected":false},"excerpt":{"rendered":"
\u6280\u672f\u5e94\u7528 | \u76d8\u70b92024\u5e74\u6700\u4f73\u5927\u8bed\u8a00\u6a21\u578b \u94b1\u542b\u97ec\u00a0\u8bed\u8a00\u670d\u52a1\u884c\u4e1a 2024\u5e7409\u670819\u65e5 22: […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[96],"tags":[],"class_list":["post-34029","post","type-post","status-publish","format-standard","hentry","category-96"],"_links":{"self":[{"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/posts\/34029","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=34029"}],"version-history":[{"count":1,"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/posts\/34029\/revisions"}],"predecessor-version":[{"id":34039,"href":"https:\/\/linguaresources.com\/index.php?rest_route=\/wp\/v2\/posts\/34029\/revisions\/34039"}],"wp:attachment":[{"href":"https:\/\/linguaresources.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=34029"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/linguaresources.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=34029"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/linguaresources.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=34029"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}