{"id":38665,"date":"2025-02-20T16:00:52","date_gmt":"2025-02-20T08:00:52","guid":{"rendered":"https:\/\/17aitech.com\/?p=38665"},"modified":"2025-02-20T16:00:52","modified_gmt":"2025-02-20T08:00:52","slug":"%e8%8b%b9%e6%9e%9c%e5%a4%a7%e6%a8%a1%e5%9e%8b%e6%9c%80%e6%96%b0%e8%ae%ba%e6%96%87%ef%bc%9aafm-%e6%a8%a1%e5%9e%8b%e5%a4%9a%e7%bb%b4%e5%ba%a6%e8%af%84%e6%b5%8b%e3%80%8c%e5%87%ba%e7%82%89%e3%80%8d","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=38665","title":{"rendered":"\u82f9\u679c\u5927\u6a21\u578b\u6700\u65b0\u8bba\u6587\uff1aAFM \u6a21\u578b\u591a\u7ef4\u5ea6\u8bc4\u6d4b\u300c\u51fa\u7089\u300d"},"content":{"rendered":"

\u7f16\u8bd1 | \u6731\u53ef\u8f69<\/p>\n

\u7f16\u8f91 | \u9648\u5f69\u5a34<\/p>\n

\u4e0d\u4e45\u524d\uff0c\u82f9\u679c\u5728\u5168\u7403\u5f00\u53d1\u8005\u5927\u4f1a\uff08WWDC\uff09\u4e0a\u63a8\u51fa\u4e86\u6700\u65b0\u4e2a\u4eba\u667a\u80fd\u7cfb\u7edf Apple Intelligence\uff0c\u53ef\u4ee5\u6df1\u5ea6\u96c6\u6210\u5230 iOS 18\u3001iPadOS 18 \u548c macOS Sequoia \u4e2d\uff0c\u5f15\u8d77\u4e86 AI \u4e1a\u5185\u4eba\u58eb\u3001\u5c24\u5176\u662f\u7aef\u4fa7\u667a\u80fd\u9886\u57df\u7684\u8ba8\u8bba\u3002<\/p>\n

\u82f9\u679c\u5728 2024 \u5e74\u7684\u4e00\u7cfb\u5217\u6280\u672f\u52a8\u4f5c\uff0c\u88ab\u620f\u79f0\u4e3a\u82f9\u679c\u4e3a\u7aef\u4fa7 AI \u6240\u8bbe\u8ba1\u7684\u201c\u5f00\u5377\u8003\u8bd5\u201d\uff0c\u5373\uff1a\u5927\u6a21\u578b\u65f6\u4ee3\uff0cAI \u6280\u672f\u5e94\u5982\u4f55\u5728\u624b\u673a\u3001\u5e73\u677f\u7b49\u7aef\u4fa7\u8bbe\u5907\u4e0a\u8fd0\u8425\uff0c\u8ba9\u624b\u673a\u53d8\u5f97\u66f4\u667a\u80fd\uff1f<\/p>\n

\u8fd1\u65e5\uff0c\u82f9\u679c\u56e2\u961f\u53c8\u5728 arXiv \u4e0a\u66f4\u65b0\u4e86\u5173\u4e8e Apple Intelligence \u7684\u6700\u65b0\u8bba\u6587\uff0c\u5176\u4e2d\u4ecb\u7ecd\u4e86\u82f9\u679c\u7528\u5728 Apple Intelligence \u4e0a\u7684\u4e24\u4e2a\u57fa\u7840\u8bed\u8a00\u6a21\u578b\uff0c\u5305\u62ec\uff1a\u4e00\u4e2a\u5728\u8bbe\u5907\u7aef\u8fd0\u884c\u7684\u5927\u7ea6 30 \u4ebf\u53c2\u6570\u7684\u8bed\u8a00\u6a21\u578b AFM-on-device\uff0c\u4ee5\u53ca\u4e00\u4e2a\u5728\u79c1\u6709\u4e91\u8ba1\u7b97\u4e0a\u8fd0\u884c\u7684\u5927\u89c4\u6a21\u670d\u52a1\u5668\u8bed\u8a00\u6a21\u578b AFM-server\u3002<\/p>\n

<\/a><\/p>\n<\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2407.21075<\/p>\n

\u6839\u636e\u8be5\u8bba\u6587\uff0c\u82f9\u679c\u5f00\u53d1\u7684\u7aef\u4fa7\u5927\u6a21\u578b\u5728\u8bed\u8a00\u7406\u89e3\u3001\u6307\u4ee4\u8ddf\u968f\u3001\u63a8\u7406\u3001\u5199\u4f5c\u4e0e\u5de5\u5177\u4f7f\u7528\u7b49\u591a\u4e2a\u4efb\u52a1\u4e0a\u90fd\u6709\u51fa\u8272\u8868\u73b0\u3002\u540c\u65f6\uff0c\u5728\u4fdd\u62a4\u7528\u6237\u6570\u636e\u9690\u79c1\u4e0e\u5b89\u5168\u4e0a\uff0c\u82f9\u679c\u5f3a\u8c03\u5728\u540e\u8bad\u7ec3\u9636\u6bb5\u4e0d\u4f1a\u4f7f\u7528\u7528\u6237\u7684\u4e2a\u4eba\u6570\u636e\u8fdb\u884c\u8bad\u7ec3\u3002<\/p>\n

\u7ed3\u679c\u663e\u793a\uff0c\u82f9\u679c\u7684 AFM \u6a21\u578b\u5728\u6307\u4ee4\u9075\u5faa\u5c42\u9762\u7686\u4f18\u4e8e\u5176\u4ed6\u5927\u6a21\u578b\uff0c\u540c\u65f6\uff0c\u4ece\u5199\u4f5c\u5199\u4f5c\u80fd\u529b\u6765\u770b\uff0c\u5728\u6458\u8981\u603b\u7ed3\u65b9\u9762\uff0cAFM \u6a21\u578b\u65e0\u8bba\u662f\u7aef\u4fa7\u8fd8\u662f\u79c1\u6709\u4e91\u4e5f\u5747\u8981\u597d\u4e8e\u5176\u4ed6\u3002\u800c\u5728\u5b89\u5168\u6027\u8bc4\u4f30\u65f6\uff0cAFM \u6a21\u578b\u4e5f\u6bd4\u5176\u4ed6\u6a21\u578b\u8981\u66f4\u4e3a\u8d1f\u8d23\u3002\u4f46\u662f\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0cAFM \u6a21\u578b\u7684\u6570\u5b66\u80fd\u529b\u6574\u4f53\u4e0a\u6765\u770b\u8f83\u4e3a\u4e00\u822c\u3002<\/p>\n

\u7814\u7a76\u53d1\u73b0<\/span><\/p>\n

\u4eba\u7c7b\u8bc4\u4f30<\/p>\n

\u5728\u4eba\u7c7b\u8bc4\u4f30\u4e2d\uff0c\u5728\u7aef\u4fa7\uff0cAFM \u4ec5\u8f93\u4e8e Llama-3-8B \uff0c\u800c\u4e0e\u5176\u4ed6\u6a21\u578b\u76f8\u6bd4\u663e\u7136\u66f4\u4f18\u3002\u636e\u8bba\u6587\u4ecb\u7ecd\uff0cAFM \u4e0e Phi-3-mini \u76f8\u6bd4\uff0c\u6a21\u578b\u5c3a\u5bf8\u5c0f\u4e86 25%\uff0c\u800c\u80dc\u7387\u8fbe47.7% \uff0cAFM \u751a\u81f3\u8d85\u51fa\u53c2\u6570\u6570\u91cf\u4e3a\u4e24\u500d\u591a\u7684 Gemma-7B \u548c Mistral-7B\u3002\u800c\u5728\u79c1\u6709\u4e91\u4e0a\uff0c\u4e0eGPT-3.5\u76f8\u6bd4\u65f6\uff0cAFM \u4e5f\u5177\u6709\u4e00\u5b9a\u7ade\u4e89\u529b\uff0c\u80dc\u7387\u8d85 50%\u3002<\/p>\n

<\/a><\/p>\n

\u6307\u4ee4\u9075\u5faa<\/span><\/p>\n

\u5728\u6307\u4ee4\u7ea7\uff08Instruction-level\uff09\u4e0e\u63d0\u793a\u7ea7\uff08Prompt-level\uff09\u7684\u8bc4\u4f30\u4e2d\uff0c\u65e0\u8bba\u662f\u7aef\u4fa7\u8fd8\u662f\u79c1\u6709\u4e91\u4e0a\uff0c\u5747\u4e3a AFM \u6a21\u578b\u8868\u73b0\u6700\u597d\u3002\u5176\u6307\u4ee4\u7ea7\u7684\u5f97\u5206\u5206\u522b\u4e3a 85.7% \u548c 88.5%\uff0c\u800c\u63d0\u793a\u7ea7\u7684\u5f97\u5206\u5219\u5206\u522b\u4e3a 79.3% \u548c 83.0%\u3002<\/p>\n

\u6b64\u5916\uff0c\u82f9\u679c\u8fd8\u4f7f\u7528\u4e86 AlpacaEval 2.0 LC \u548c Arena Hard \u4f5c\u4e3a\u57fa\u51c6\u8fdb\u884c\u8bc4\u4f30\u3002\u5728\u79c1\u6709\u4e91\u4e0a\uff0c\u8fd9\u4e24\u9879\u6d4b\u8bd5\u4e2d\u5747\u4e3a GPT-4 \u7684\u8868\u73b0\u6700\u4f18\uff0c\u5176\u4e2d\uff0c\u5728 Arena Hard \u6d4b\u8bd5\u4e2d\uff0cGPT-4 \u7684\u5f97\u5206\u751a\u81f3\u500d\u8d85 AFM\u3002\u5728\u7aef\u4fa7\u7684 AlpacaEval 2.0 LC \u6d4b\u8bd5\u4e2d\uff0c\u5219\u4e3a Gemma-7B \u8bc4\u5206\u6700\u4f18\uff0cAFM \u6a21\u578b\u7d27\u968f\u5176\u540e\u3002<\/p>\n

<\/a><\/p>\n<\/p>\n

\u5de5\u5177\u4f7f\u7528<\/p>\n

\u82f9\u679c\u8fd8\u6d4b\u8bd5\u4e86\u5728\u8c03\u7528\u5de5\u5177\u4f7f\u7528\u57fa\u51c6\u6d4b\u8bd5\u4e2d AFM \u6a21\u578b\u7684\u8868\u73b0\uff0c\u5206\u522b\u4ece\u7b80\u5355\uff08Simple\uff09\u3001\u591a\u91cd\uff08Multiple\uff09\u3001\u5e76\u884c\uff08Parallel\uff09\u3001\u5e76\u884c\u591a\u91cd\uff08Parallel Multiple\uff09\u3001\u76f8\u5173\u6027\uff08Relevance\uff09\u548c\u5e73\u5747\uff08Average\uff09\u51e0\u4e2a\u7eac\u5ea6\u5c55\u5f00\u3002<\/p>\n

\u6574\u4f53\u6765\u770b\uff0cAFM-server \u8868\u73b0\u8f83\u4f18\uff0c\u4ece\u6d4b\u8bd5\u7ed3\u679c\u4e0a\u6765\u770b\uff0c\u5728\u7b80\u5355\u3001\u591a\u91cd\u3001\u76f8\u5173\u6027\u3001\u5e73\u5747\u6027\u7ef4\u5ea6\u4e2d\uff0cAFM-server \u5747\u5f97\u5206\u6700\u9ad8\uff0c\u5206\u522b\u4e3a91.0\u300195.5\u300191.3\u300189.5\u3002\u5728\u5e76\u884c\u591a\u91cd\u7ef4\u5ea6\u4e2d\uff0cAFM-server \u5f97\u5206 85.0\uff0c\u4ec5\u6b21\u4e8e Gemini-1.5-Pro-0514 \u7684 88.0\uff0c\u4e14\u9886\u5148\u4e8e GPT-4 \u4e0e GPT-3.5\u3002<\/p>\n

\u4f46 AFM-on-device \u8868\u73b0\u5219\u8f83\u4e3a\u4e00\u822c\uff0c\u5728\u591a\u91cd\u3001\u5e76\u884c\u591a\u91cd\u3001\u76f8\u5173\u6027\u53ca\u5e73\u5747\u7ef4\u5ea6\u4e2d\uff0c\u5747\u8981\u7a0d\u900a\u4e8e GPT-4 \u548c Gemini-1.5-Pro-0514\u3002\u9664\u6b64\u4e4b\u5916\uff0c\u5728\u5e76\u884c\u7ef4\u5ea6\u4e2d\uff0cAFM-server \u548c AFM-on-device \u7684\u8868\u73b0\u60c5\u51b5\u5219\u90fd\u8f83\u4e3a\u4e00\u822c\u3002<\/p>\n

<\/a><\/p>\n<\/p>\n

\u5199\u4f5c\u80fd\u529b\u5206\u4e24\u5757\uff0c\u4e00\u5757\u662f\u6458\u8981\u603b\u7ed3\uff0c\u4e00\u5757\u662f\u957f\u4f5c\u6587\u3002\u5176\u4e2d\uff0cAFM \u6a21\u578b\u4e3b\u8981\u5728\u6458\u8981\u603b\u7ed3\u4e0a\u8868\u73b0\u8f83\u597d\uff0c\u5728\u7aef\u4fa7\u7684\u8868\u73b0\u4f18\u4e8e Mistral-7B\u3001Gemma-7B\u3001Phi-3-mini \u4e0e Gemma-2B\uff0c\u5728\u79c1\u6709\u4e91\u4e0a\u5219\u4f18\u4e8e GPT-4\u3001Mixtral-8x22B\u3001DBRX Instruct \u4e0e GPT-3.5\uff1a<\/p>\n

<\/a><\/p>\n<\/p>\n

\u6570\u5b66\u80fd\u529b\u4e0a\uff0c\u82f9\u679c AFM \u6a21\u578b\u7684\u8868\u73b0\u5219\u4e00\u822c\uff0c\u4ec5\u5728\u7aef\u4fa7 MATH \u57fa\u51c6\u4e0a\u9ad8\u4e8e Llama-3-8B\u3001Phi-3 mini\u3001Gemma-7B \u4e0e Mistral-7B\uff0cGSM8k \u662f 8-shot\u3001MATH \u662f 4-shot\uff1a<\/p>\n

<\/a><\/p>\n<\/p>\n

\u8d1f\u8d23\u4efb\u7684 AI<\/p>\n

\u5728\u6587\u672c\u6458\u8981\u603b\u7ed3\u529f\u80fd\u4e2d\uff0c\u82f9\u679c\u56e2\u961f\u5c06 AFM \u6a21\u578b\u5728\u90ae\u4ef6\u3001\u4fe1\u606f\u4e0e\u901a\u77e5\u8fd9\u4e09\u4e2a\u5e94\u7528\u4e0a\u4f5c\u4e86\u6d4b\u8bd5\uff0c\u5206\u522b\u4ece 5 \u4e2a\u7ef4\u5ea6\uff08\u4ec7\u6068\u8a00\u8bba\u3001\u6b67\u89c6\u3001\u8fdd\u6cd5\u3001\u8272\u60c5\u3001\u66b4\u529b\uff09\u6765\u8bc4\u4f30\u6a21\u578b\u7684\u201c\u597d\u201d\u4e0e\u201c\u5dee\u201d\u3002\u7814\u7a76\u663e\u793a\uff0c\u82f9\u679c\u7684 AFM \u6a21\u578b\u5728\u201c\u597d\u201d\u7ef4\u5ea6\u7684\u8868\u73b0\u5747\u9ad8\u4e8e Gemma-7B\u3001Phi-3-8B \u4e0e Llama-3-8B\uff1a<\/p>\n

<\/a><\/p>\n<\/p>\n

\u5b89\u5168\u6027\u8bc4\u6d4b<\/p>\n

\u5728\u6709\u5bb3\u8f93\u51fa\u4e0a\uff0c\u82f9\u679c AFM-on-device \u7684\u5f97\u5206\u4e3a 7.5%\u3001AFM-server \u7684\u5f97\u5206\u4e3a 6.3%\uff0c\u5f97\u5206\u8d8a\u4f4e\u3001\u6548\u679c\u8d8a\u597d\uff0c\u8fdc\u8fdc\u9ad8\u4e8e Gemma-7B\u3001Gemma-7B\u3001Phi-3-mini\u3001Llama-3-8B \u4e0e Mistral-7B\uff08\u5176\u4f59\u5f97\u5206\u5747\u5728 10% \u4ee5\u4e0a\uff09\uff1a<\/p>\n

<\/a><\/p>\n<\/p>\n

\u5728\u5b89\u5168\u63d0\u793a\u8bcd\u4e0a\uff0c\u4eba\u7c7b\u8bc4\u4f30\uff0c\u82f9\u679c\u7684 AFM-on-device \u6a21\u578b\u8868\u73b0\u4f18\u4e8e Gemma-7B\u3001Gemma-7B\u3001Phi-3-mini\u3001Llama-3-8B \u4e0e Mistral-7B\uff0cAFM-server \u6a21\u578b\u7684\u8868\u73b0\u4e5f\u8981\u8fdc\u8d85 GPT-3.5\u3001GPT-4 \u548c Llama-3-70B\uff1a\u96f7\u5cf0\u7f51(\u516c\u4f17\u53f7\uff1a\u96f7\u5cf0\u7f51)<\/span>\u96f7\u5cf0\u7f51<\/span><\/p>\n<\/p>\n

<\/a><\/p>\n

\u96f7\u5cf0\u7f51\u7248\u6743\u6587\u7ae0\uff0c\u672a\u7ecf\u6388\u6743\u7981\u6b62\u8f6c\u8f7d\u3002\u8be6\u60c5\u89c1\u8f6c\u8f7d\u987b\u77e5<\/a>\u3002<\/p>\n

\n
\n <\/a>
\n <\/a>\n <\/p>\n

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