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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

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{"id":33482,"date":"2024-08-29T17:34:49","date_gmt":"2024-08-29T09:34:49","guid":{"rendered":"https:\/\/linguaresources.com\/?p=33482"},"modified":"2024-08-29T17:34:49","modified_gmt":"2024-08-29T09:34:49","slug":"llama-3-1-%e5%9c%a8%e6%96%87%e6%9c%ac%e5%92%8c%e8%af%ad%e9%9f%b3%e7%bf%bb%e8%af%91%e6%96%b9%e9%9d%a2%e8%a1%a8%e7%8e%b0%e5%a6%82%e4%bd%95%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/linguaresources.com\/?p=33482","title":{"rendered":"Llama 3.1 \u5728\u6587\u672c\u548c\u8bed\u97f3\u7ffb\u8bd1\u65b9\u9762\u8868\u73b0\u5982\u4f55\uff1f"},"content":{"rendered":"

\"This<\/p>\n

Meta \u7684\u7814\u7a76\u56e2\u961f\u4e8e 2023 \u5e74 7 \u6708 23 \u65e5\u63a8\u51fa\u4e86 Llama 3.1\uff0c\u79f0\u5176\u4e3a “\u4e16\u754c\u4e0a\u89c4\u6a21\u6700\u5927\u3001\u80fd\u529b\u6700\u5f3a\u7684\u5f00\u653e\u5f0f\u57fa\u7840\u6a21\u578b”\u3002<\/span><\/p>\n

\n

Llama 3.1 \u6709 8B\u300170B \u548c 405B \u4e09\u79cd\u53c2\u6570\u5927\u5c0f\uff0c\u53ef\u6839\u636e\u8ba1\u7b97\u8d44\u6e90\u548c\u7279\u5b9a\u5e94\u7528\u9700\u6c42\u7075\u6d3b\u90e8\u7f72\u30022024 \u5e74 4 \u6708 18 \u65e5\uff0cMeta \u53d1\u5e03\u4e86 Llama 3 \u7cfb\u5217\u5927\u8bed\u8a00\u673a\u578b\uff0c\u6700\u521d\u53ea\u5305\u62ec 8B \u548c 70B \u4e24\u79cd\u5c3a\u5bf8\u3002\u6700\u65b0\u7248\u672c\u63a8\u51fa\u4e86 405B \u578b\u53f7\u4ee5\u53ca 8B \u548c 70B \u578b\u53f7\u7684\u5347\u7ea7\u7248\u3002<\/p>\n

Llama 3.1 \u6a21\u578b\u6bd4\u5176\u524d\u8eab Llama 2 \u6709\u4e86\u957f\u8db3\u7684\u8fdb\u6b65\uff0c\u5b83\u5728\u4e00\u4e2a\u5305\u542b 15 \u4e07\u4ebf\u4e2a\u591a\u8bed\u8a00\u8bcd\u5e93\u7684\u5e9e\u5927\u8bed\u6599\u5e93\u4e0a\u8fdb\u884c\u4e86\u9884\u8bad\u7ec3\uff0c\u6bd4 Llama 2 \u7684 1.8 \u4e07\u4ebf\u4e2a\u8bcd\u5e93\u6709\u4e86\u5927\u5e45\u63d0\u9ad8\u3002\u5b83\u4eec\u7684\u4e0a\u4e0b\u6587\u7a97\u53e3\u53ef\u5bb9\u7eb3\u591a\u8fbe 128k \u6807\u8bb0\uff08\u4ee5\u524d\u53ea\u80fd\u5bb9\u7eb3 8k \u6807\u8bb0\uff09\uff0c\u5728\u591a\u8bed\u8a00\u6027\u3001\u7f16\u7801\u3001\u63a8\u7406\u548c\u5de5\u5177\u4f7f\u7528\u65b9\u9762\u90fd\u6709\u663e\u8457\u6539\u8fdb\u3002<\/p>\n

Llama 3.1 \u4fdd\u6301\u4e86\u4e0e Llama \u548c Llama 2 \u76f8\u4f3c\u7684\u67b6\u6784\uff0c\u4f46\u901a\u8fc7\u63d0\u9ad8\u6570\u636e\u8d28\u91cf\u3001\u591a\u6837\u6027\u548c\u6269\u5927\u8bad\u7ec3\u89c4\u6a21\u6765\u5b9e\u73b0\u6027\u80fd\u6539\u8fdb\u3002<\/p>\n

Meta \u7684\u7814\u7a76\u56e2\u961f\u5728\u6db5\u76d6\u591a\u79cd\u8bed\u8a00\u7684 150 \u591a\u4e2a\u57fa\u51c6\u6570\u636e\u96c6\u4e0a\u6d4b\u8bd5\u4e86 Llama 3.1\u3002\u4ed6\u4eec\u53d1\u73b0\uff0c\u91c7\u7528 405B \u53c2\u6570\u7684 “\u65d7\u8230\u6a21\u578b “\u5728\u5404\u79cd\u4efb\u52a1\u4e2d\u90fd\u80fd\u4e0e\u9886\u5148\u6a21\u578b\u76f8\u5ab2\u7f8e\uff0c\u5e76\u63a5\u8fd1\u6700\u5148\u8fdb\u7684\u6027\u80fd\u3002\u8f83\u5c0f\u7684\u6a21\u578b\u4e5f\u662f “\u540c\u7c7b\u6700\u4f73”\uff0c\u5176\u6027\u80fd\u4f18\u4e8e\u53c2\u6570\u6570\u91cf\u76f8\u5f53\u7684\u5176\u4ed6\u6a21\u578b\u3002<\/p>\n

SOTA \u591a\u8bed\u79cd\u7ffb\u8bd1\u80fd\u529b<\/h3>\n

\u5728\u591a\u8bed\u8a00\u4efb\u52a1\u4e2d\uff0c\u5c0f\u578b Llama 3.1 8B \u673a\u578b\u8d85\u8fc7\u4e86 Gemma 2 9B \u548c Mistral 7B\uff0c\u800c Llama 3.1 70B \u5219\u8d85\u8fc7\u4e86 Mixtral 8Xx22B \u548c GPT 3.5 Turbo\u3002Llama 3.1 405B \u4e0e Claude 3.5 Sonnet \u4e0d\u76f8\u4e0a\u4e0b\uff0c\u6027\u80fd\u4f18\u4e8e GPT-4 \u548c GPT 4o\u3002<\/p>\n

Meta \u7684\u7814\u7a76\u56e2\u961f\u5f3a\u8c03\uff0cLlama 3.1 405B \u662f “\u7b2c\u4e00\u4e2a\u516c\u5f00\u53ef\u7528\u7684\u6a21\u578b\uff0c\u5728[……]\u591a\u8bed\u8a00\u7ffb\u8bd1\u548c\u5176\u4ed6\u4efb\u52a1\u65b9\u9762\uff0c\u5176\u80fd\u529b\u53ef\u4e0e\u9876\u7ea7\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u76f8\u5ab2\u7f8e”\u3002<\/p>\n

\u4ed6\u4eec\u5bf9\u5229\u7528\u8be5\u6a21\u578b\u7684\u591a\u8bed\u8a00\u529f\u80fd\u548c\u6269\u5c55\u7684\u4e0a\u4e0b\u6587\u957f\u5ea6\u521b\u5efa\u521b\u65b0\u5e94\u7528\u7684\u6f5c\u529b\u8868\u793a\u4e50\u89c2\uff0c\u5e76\u8868\u793a “\u6211\u4eec\u8feb\u4e0d\u53ca\u5f85\u5730\u60f3\u770b\u5230\u793e\u533a\u5982\u4f55\u5229\u7528\u8fd9\u9879\u5de5\u4f5c”\u3002<\/p>\n

\u8bed\u97f3\u7ffb\u8bd1\u8868\u73b0\u51fa\u8272<\/h3>\n

\u9664\u8bed\u8a00\u5904\u7406\u5916\uff0cLlama 3.1 \u7684\u5f00\u53d1\u8fd8\u5305\u62ec\u591a\u6a21\u6001\u6269\u5c55\uff0c\u53ef\u5b9e\u73b0\u56fe\u50cf\u8bc6\u522b\u3001\u89c6\u9891\u8bc6\u522b\u548c\u8bed\u97f3\u7406\u89e3\u529f\u80fd\u3002<\/p>\n

\u867d\u7136\u8fd9\u4e9b\u591a\u6a21\u6001\u6269\u5c55\u529f\u80fd\u4ecd\u5728\u5f00\u53d1\u4e2d\uff0c\u4f46\u521d\u6b65\u7ed3\u679c\u8868\u660e\uff0c\u5728\u56fe\u50cf\u3001\u89c6\u9891\u548c\u8bed\u97f3\u4efb\u52a1\u4e2d\uff0c\u5b83\u4eec\u7684\u6027\u80fd\u90fd\u5f88\u6709\u7ade\u4e89\u529b\u3002<\/p>\n

Meta \u7684\u7814\u7a76\u56e2\u961f\u4e13\u95e8\u5c31\u81ea\u52a8\u8bed\u97f3\u8bc6\u522b (ASR) \u548c\u8bed\u97f3\u7ffb\u8bd1\u5bf9 Llama 3.1 \u8fdb\u884c\u4e86\u8bc4\u4f30\u3002\u5728 ASR \u65b9\u9762\uff0c\u4ed6\u4eec\u5c06\u5176\u6027\u80fd\u4e0e Whisper\u3001SeamlessM4T \u548c Gemini \u8fdb\u884c\u4e86\u6bd4\u8f83\u3002\u5728\u6240\u6709\u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0cLlama 3.1 \u7684\u8868\u73b0\u5747\u4f18\u4e8e Whisper \u548c SeamlessM4T\uff0c\u4e0e Gemini \u7684\u8868\u73b0\u76f8\u4f3c\uff0c\u663e\u793a\u51fa “\u5728\u8bed\u97f3\u8bc6\u522b\u4efb\u52a1\u4e2d\u7684\u5f3a\u52b2\u6027\u80fd”\u3002<\/p>\n

\n
\n
\n
\n

Slator Pro \u6307\u5357\uff1a\u4eba\u5de5\u667a\u80fd\u7ffb\u8bd1<\/h2>\n
<\/div>\n<\/div>\n<\/article>\n<\/div>\n<\/div>\n

\u5728\u8981\u6c42\u6a21\u578b\u5c06\u975e\u82f1\u8bed\u8bed\u97f3\u7ffb\u8bd1\u6210\u82f1\u8bed\u6587\u672c\u7684\u8bed\u97f3\u7ffb\u8bd1\u4efb\u52a1\u4e2d\uff0cLlama 3.1 \u7684\u8868\u73b0\u518d\u6b21\u4f18\u4e8e Whisper \u548c SeamlesM4T\u3002”\u6211\u4eec\u7684\u6a21\u578b\u5728\u8bed\u97f3\u7ffb\u8bd1\u4e2d\u7684\u8868\u73b0\u51f8\u663e\u4e86\u591a\u6a21\u6001\u57fa\u7840\u6a21\u578b\u5728\u8bed\u97f3\u7ffb\u8bd1\u7b49\u4efb\u52a1\u4e2d\u7684\u4f18\u52bf\uff0c”Meta \u7684\u56e2\u961f\u8bf4\u3002<\/p>\n

\u4ed6\u4eec\u8fd8\u5206\u4eab\u4e86\u5f00\u53d1\u8fc7\u7a0b\u7684\u7ec6\u8282\uff0c\u4ee5\u5e2e\u52a9\u7814\u7a76\u754c\u4e86\u89e3\u591a\u6a21\u5f0f\u57fa\u7840\u6a21\u578b\u5f00\u53d1\u7684\u5173\u952e\u56e0\u7d20\uff0c\u5e76\u9f13\u52b1\u5bf9\u8fd9\u4e9b\u6a21\u578b\u7684\u672a\u6765\u8fdb\u884c\u77e5\u60c5\u8ba8\u8bba\u3002”\u4ed6\u4eec\u8bf4\uff1a”\u6211\u4eec\u5e0c\u671b\u5c3d\u65e9\u5206\u4eab\u6211\u4eec\u7684\u6210\u679c\uff0c\u4ee5\u52a0\u5feb\u8fd9\u4e00\u65b9\u5411\u7684\u7814\u7a76\u3002<\/p>\n

\u65e9\u671f\u4f7f\u7528\u6848\u4f8b<\/h3>\n

Meta \u63a8\u51fa\u7684 Llama 3.1 \u5728\u4eba\u5de5\u667a\u80fd\u754c\u5f15\u8d77\u4e86\u8f70\u52a8\u3002\u81ea\u53d1\u5e03\u4ee5\u6765\uff0c\u8bb8\u591a\u4eba\u5728 X \u548c LinkedIn \u4e0a\u79f0\u5176\u4e3a “\u6e38\u620f\u89c4\u5219\u7684\u6539\u53d8\u8005 “\u6216 “GPT-4 \u6740\u624b”\uff0c\u5c06\u8fd9\u4e00\u65f6\u523b\u89c6\u4e3a “\u5f00\u6e90\u4eba\u5de5\u667a\u80fd\u7684\u6700\u5927\u65f6\u523b”\u3002\u6b64\u5916\uff0c\u4ed6\u4eec\u8fd8\u8c08\u5230\u4e86 “\u4e1a\u52a1\u8f6c\u578b\u7684\u5730\u9707\u5f0f\u8f6c\u53d8”\uff0c\u5e76\u89e3\u91ca\u8bf4\u8fd9\u5c06 “\u5f7b\u5e95\u6539\u53d8\u516c\u53f8\u7684\u5de5\u4f5c\u65b9\u5f0f”\u3002<\/p>\n

\u5e16\u5b50\u4e2d\u5217\u4e3e\u4e86\u5927\u91cf\u5b9e\u4f8b\uff0c\u5c55\u793a\u4e86 Llama 3.1 \u7684\u591a\u79cd\u4e0d\u540c\u4f7f\u7528\u65b9\u5f0f\uff0c\u5305\u62ec\u7535\u8bdd\u52a9\u624b\u3001\u6587\u6863\u52a9\u624b\u548c\u4ee3\u7801\u52a9\u624b\u3002<\/p>\n

\n
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Groq + LLaMa 3.1-8b \u592a\u6709\u8da3\u4e86\u3002<\/p>\n

\u4eba\u4eec\u901a\u8fc7\u8bed\u97f3\u7b14\u8bb0\u5206\u4eab\u5373\u65f6\u56de\u590d\u3002
\n\u6211\u4eb2\u81ea\u5c1d\u8bd5\u4e86\u4e00\u4e0b\uff0c\u611f\u89c9\u975e\u5e38\u68d2\uff1a pic.twitter.com\/yWimJhPZuC<\/p>\n

– \u9c81\u672c-\u54c8\u5e0c\u5fb7 (@RubenHssd) 2024 \u5e74 7 \u6708 25 \u65e5<\/p><\/blockquote>\n<\/div>\n<\/div>\n<\/figure>\n

\u516c\u5f00\u53d1\u5e03<\/h3>\n

Meta \u6839\u636e\u66f4\u65b0\u540e\u7684\u793e\u533a\u8bb8\u53ef\u8bc1\u53d1\u5e03\u4e86\u6240\u6709 Llama 3.1 \u6a21\u578b\uff0c\u4ee5\u4fc3\u8fdb\u8fdb\u4e00\u6b65\u521b\u65b0\u548c\u8d1f\u8d23\u4efb\u5730\u5f00\u53d1\u4eba\u5de5\u901a\u7528\u667a\u80fd (AGI)\u3002<\/p>\n

“\u4ed6\u4eec\u8bf4\uff1a”\u6211\u4eec\u5e0c\u671b\u65d7\u8230\u6a21\u578b\u7684\u516c\u5f00\u53d1\u5e03\u80fd\u6fc0\u53d1\u7814\u7a76\u754c\u7684\u521b\u65b0\u6d6a\u6f6e\uff0c\u5e76\u52a0\u5feb\u4eba\u5de5\u901a\u7528\u667a\u80fd\u53d1\u5c55\u7684\u8d1f\u8d23\u4efb\u4e4b\u8def\u3002\u6b64\u5916\uff0c\u4ed6\u4eec\u8ba4\u4e3a Llama 3.1 \u7684\u53d1\u5e03\u5c06\u9f13\u52b1\u4e1a\u754c\u5728 AGI \u5f00\u53d1\u4e2d\u91c7\u7528\u5f00\u653e\u548c\u8d1f\u8d23\u4efb\u7684\u505a\u6cd5\u3002<\/p>\n

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