{"id":24345,"date":"2025-02-08T11:01:25","date_gmt":"2025-02-08T03:01:25","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=24345"},"modified":"2025-02-08T11:01:25","modified_gmt":"2025-02-08T03:01:25","slug":"%e5%9b%be%e8%a7%a3%e7%b3%bb%e5%88%97%ef%bd%9cdeepseek-r1%e7%9a%84%e5%87%ba%e4%bc%97%e6%8e%a8%e7%90%86%e8%83%bd%e5%8a%9b%e5%9b%a0%e4%bd%95%e8%80%8c%e6%9d%a5%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2025\/02\/08\/24345\/","title":{"rendered":"\u56fe\u89e3\u7cfb\u5217\uff5cDeepSeek-R1\u7684\u51fa\u4f17\u63a8\u7406\u80fd\u529b\u56e0\u4f55\u800c\u6765\uff1f"},"content":{"rendered":"
\"\"<\/div>\n
<\/div>\n
\u4eca\u5929\u8fd9\u7bc7\u6df1\u5ea6\u89e3\u6790 DeepSeek-R1 \u8bad\u7ec3\u65b9\u6cd5\u7684\u6587\u7ae0\uff0c\u5c06\u5c55\u793a\u4e00\u4e2a\u4ee4\u4eba\u8033\u76ee\u4e00\u65b0\u7684\u89e3\u51b3\u65b9\u6848\uff1a\u5982\u4f55\u901a\u8fc7\u521b\u65b0\u7684\u5f3a\u5316\u5b66\u4e60\u65b9\u6cd5\uff0c\u5728\u5c11\u91cf\u9ad8\u8d28\u91cf\u4eba\u5de5\u6807\u6ce8\u6570\u636e\u7684\u60c5\u51b5\u4e0b\uff0c\u6253\u9020\u51fa\u4e00\u4e2a\u63a8\u7406\u80fd\u529b\u51fa\u4f17\u7684 AI \u6a21\u578b\u3002<\/div>\n
\n
\n

\"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

DeepSeek-R1 \u4ee3\u8868\u4e86\u4eba\u5de5\u667a\u80fd\u53d1\u5c55\u7684\u53c8\u4e00\u91cd\u8981\u91cc\u7a0b\u7891\u3002\u5bf9\u4e8e\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u7814\u7a76\u4eba\u5458\u4e0e\u5f00\u53d1\u8005\u7fa4\u4f53\u800c\u8a00\uff0c\u8fd9\u6b21\u53d1\u5e03\u4e4b\u6240\u4ee5\u5907\u53d7\u5173\u6ce8\uff0c\u4e3b\u8981\u6709\u4ee5\u4e0b\u4e24\u70b9\uff1a<\/p>\n

    \n
  1. \u9996\u5148\uff0c\u8fd9\u662f\u4e00\u6b3e\u5f00\u6e90\u6743\u91cd\u7684\u6a21\u578b\uff0c\u5e76\u4e14\u63d0\u4f9b\u4e86\u66f4\u5c0f\u7684\u3001\u7ecf\u8fc7\u84b8\u998f\u7684\u7248\u672c\uff1b<\/li>\n
  2. \u5176\u6b21\uff0c\u5b83\u516c\u5e03\u5e76\u6df1\u5165\u63a2\u8ba8\u4e86\u8bad\u7ec3\u65b9\u6cd5\uff0c\u8be5\u65b9\u6cd5\u80fd\u591f\u590d\u73b0\u7c7b\u4f3c\u4e8e OpenAI O1 \u7684\u63a8\u7406\u6a21\u578b\u3002<\/li>\n<\/ol>\n

    \u672c\u6587\u5c06\u5e26\u60a8\u4e86\u89e3\u8fd9\u4e00\u6a21\u578b\u7684\u6784\u5efa\u8fc7\u7a0b\u3002<\/p>\n

    \u76ee\u5f55<\/h2>\n

    01 \u56de\u987e\uff1a\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u7684\u8bad\u7ec3\u65b9\u6cd5<\/strong><\/p>\n

    02 DeepSeek-R1 \u7684\u8bad\u7ec3\u6b65\u9aa4<\/strong><\/p>\n

    2.1- \u957f\u63a8\u7406\u94fe\u7684 SFT \u6570\u636e<\/strong><\/p>\n

    2.2- \u4e00\u4e2a\u8fc7\u6e21\u6027\u7684\u3001\u64c5\u957f\u63a8\u7406\u7684\u9ad8\u8d28\u91cf\u5927\u8bed\u8a00\u6a21\u578b\uff08\u4f46\u5728\u975e\u63a8\u7406\u4efb\u52a1\u4e0a\u8868\u73b0\u7a0d\u900a\uff09<\/strong><\/p>\n

    2.3- \u5229\u7528\u5927\u89c4\u6a21\u5f3a\u5316\u5b66\u4e60\uff08RL\uff09\u6784\u5efa\u63a8\u7406\u6a21\u578b<\/strong><\/p>\n

    2.3.1- \u4ee5\u63a8\u7406\u4e3a\u5bfc\u5411\u7684\u5927\u89c4\u6a21\u5f3a\u5316\u5b66\u4e60\uff08R1-Zero\uff09<\/strong><\/p>\n

    2.3.2- \u5229\u7528\u8fc7\u6e21\u6027\u63a8\u7406\u6a21\u578b\u751f\u6210 SFT \u63a8\u7406\u6570\u636e<\/strong><\/p>\n

    2.3.3- \u5e38\u89c4\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u9636\u6bb5<\/strong><\/p>\n

    03 \u6a21\u578b\u67b6\u6784<\/strong><\/p>\n

    1.\u56de\u987e\uff1a\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u7684\u8bad\u7ec3\u65b9\u6cd5<\/h2>\n

    \u4e0e\u5927\u591a\u6570\u73b0\u6709\u7684\u5927\u8bed\u8a00\u6a21\u578b\u4e00\u6837\uff0cDeepSeek-R1 \u4e5f\u662f\u9010\u4e2a\u751f\u6210 token\uff0c\u4f46\u5176\u72ec\u7279\u4e4b\u5904\u5728\u4e8e\u64c5\u957f\u89e3\u51b3\u6570\u5b66\u548c\u63a8\u7406\u95ee\u9898\u3002\u8fd9\u662f\u56e0\u4e3a\u5b83\u80fd\u591f\u901a\u8fc7\u751f\u6210\u4e00\u7cfb\u5217\u601d\u8003 tokens \u6765\u8be6\u7ec6\u9610\u8ff0\u5176\u601d\u8003\u8fc7\u7a0b\uff0c\u4ece\u800c\u66f4\u52a0\u6df1\u5165\u5730\u5904\u7406\u95ee\u9898\u3002<\/p>\n

    \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

    \u4e0b\u56fe\u6458\u81ea\u4e66\u7c4d\u300aHands-On Large Language Models\u300b\u7684\u7b2c 12 \u7ae0\uff0c\u5c55\u793a\u4e86\u521b\u5efa\u9ad8\u8d28\u91cf\u5927\u8bed\u8a00\u6a21\u578b\u7684\u4e09\u4e2a\u4e3b\u8981\u6b65\u9aa4\uff1a<\/p>\n

    \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

    1\uff09\u8bed\u8a00\u5efa\u6a21\u9636\u6bb5<\/strong>\uff0c\u6211\u4eec\u5229\u7528\u6d77\u91cf\u7684\u7f51\u7edc\u6570\u636e\u8bad\u7ec3\u6a21\u578b\u9884\u6d4b\u4e0b\u4e00\u4e2a\u8bcd\u6c47\uff0c\u4ece\u800c\u5f97\u5230\u4e00\u4e2a\u57fa\u7840\u6a21\u578b\u3002<\/p>\n

    2\uff09\u76d1\u7763\u5f0f\u5fae\u8c03\u9636\u6bb5<\/strong>\uff0c\u8fd9\u4e00\u6b65\u9aa4\u8ba9\u6a21\u578b\u5728\u6267\u884c\u6307\u4ee4\u548c\u56de\u7b54\u95ee\u9898\u65f6\u66f4\u52a0\u5f97\u5fc3\u5e94\u624b\uff0c\u8fdb\u800c\u5f97\u5230\u4e00\u4e2a\u6307\u4ee4\u8c03\u4f18\u7684\u6a21\u578b\u6216\u79f0\u4e3a\u76d1\u7763\u5f0f\u5fae\u8c03\/SFT\u6a21\u578b\u3002<\/p>\n

    3\uff09\u6700\u540e\u662f\u504f\u597d\u8c03\u4f18\u9636\u6bb5<\/strong>\uff0c\u8fd9\u4e00\u6b65\u9aa4\u8fdb\u4e00\u6b65\u4f18\u5316\u6a21\u578b\u7684\u884c\u4e3a\uff0c\u4f7f\u5176\u66f4\u7b26\u5408\u4eba\u7c7b\u504f\u597d\uff0c\u6700\u7ec8\u5f62\u6210\u7684\u662f\u4f60\u5728\u5404\u79cd\u5e73\u53f0\u548c\u5e94\u7528\u4e2d\u4f7f\u7528\u7684\u504f\u597d\u8c03\u4f18\u540e\u7684 LLM\u3002<\/p>\n

    2.DeepSeek-R1 \u7684\u8bad\u7ec3\u6b65\u9aa4<\/h2>\n

    DeepSeek-R1 \u9075\u5faa\u4e86\u8fd9\u4e00\u901a\u7528\u6846\u67b6\u3002\u5176\u7b2c\u4e00\u6b65\u7684\u5177\u4f53\u5185\u5bb9\u6e90\u81ea\u4e8e\u4e4b\u524d\u5173\u4e8e DeepSeek-V3 \u6a21\u578b\u7684\u7814\u7a76\u8bba\u6587[1]<\/sup>\u3002R1 \u4f7f\u7528\u7684\u662f\u8be5\u8bba\u6587\u4e2d\u7684\u57fa\u7840\u6a21\u578b\uff08\u5e76\u975e\u6700\u7ec8\u7684 DeepSeek-V3 \u6a21\u578b\uff09\uff0c\u5e76\u4e14\u540c\u6837\u7ecf\u5386\u4e86 SFT\uff08\u76d1\u7763\u5f0f\u5fae\u8c03\uff09\u548c\u504f\u597d\u8c03\u4f18\u9636\u6bb5\uff0c\u4f46\u5b83\u7684\u72ec\u7279\u4e4b\u5904\u5728\u4e8e\u8fd9\u4e9b\u9636\u6bb5\u7684\u5177\u4f53\u64cd\u4f5c\u65b9\u6cd5\u3002<\/p>\n

    \u5728 R1 \u7684\u6784\u5efa\u8fc7\u7a0b\u4e2d\uff0c\u6709\u4e09\u4e2a\u5173\u952e\u70b9\u503c\u5f97\u7279\u522b\u5173\u6ce8\u3002<\/p>\n

    2.1 \u957f\u63a8\u7406\u94fe\u7684 SFT \u6570\u636e<\/h3>\n

    \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

    \u8fd9\u4e9b\u957f\u601d\u7ef4\u94fe\u63a8\u7406\u7684\u5b9e\u4f8b\u6570\u91cf\u5e9e\u5927\uff08\u603b\u5171\u8fbe\u5230 60 \u4e07\u4e2a\uff09\u3002\u5982\u6b64\u5927\u89c4\u6a21\u7684\u5b9e\u4f8b\u83b7\u53d6\u96be\u5ea6\u6781\u9ad8\uff0c\u4e14\u82e5\u8981\u4f9d\u9760\u4eba\u5de5\u6807\u6ce8\uff0c\u6210\u672c\u4e5f\u5c06\u6781\u4e3a\u6602\u8d35\u3002<\/strong>\u56e0\u6b64\uff0c\u8fd9\u4e9b\u5b9e\u4f8b\u7684\u521b\u5efa\u8fc7\u7a0b\u662f\u6211\u4eec\u9700\u8981\u5f3a\u8c03\u7684\u7b2c\u4e8c\u4e2a\u72ec\u7279\u4e4b\u5904\u3002<\/p>\n

    2.2 \u4e00\u4e2a\u8fc7\u6e21\u6027\u7684\u3001\u64c5\u957f\u63a8\u7406\u7684\u9ad8\u8d28\u91cf LLM\uff08\u4f46\u5728\u975e\u63a8\u7406\u4efb\u52a1\u4e0a\u8868\u73b0\u7a0d\u900a\uff09<\/h3>\n

    \u8fd9\u4e9b\u6570\u636e\u662f\u7531 R1 \u7684\u524d\u8eab\uff0c\u4e00\u4e2a\u4e13\u6ce8\u4e8e\u63a8\u7406\u4f46\u5c1a\u672a\u547d\u540d\u7684\u59ca\u59b9\u6a21\u578b\u6240\u751f\u6210\u7684\u3002\u8fd9\u4e2a\u59ca\u59b9\u6a21\u578b\u53d7\u5230\u4e86\u53e6\u4e00\u4e2a\u6a21\u578b R1-Zero \u7684\u542f\u53d1\uff08\u6211\u4eec\u5c06\u5728\u7a0d\u540e\u8ba8\u8bba\uff09\u3002\u5b83\u4e4b\u6240\u4ee5\u610f\u4e49\u91cd\u5927\uff0c\u5e76\u4e0d\u662f\u56e0\u4e3a\u5b83\u662f\u4e00\u4e2a\u975e\u5e38\u597d\u7528\u7684 LLM\uff0c\u800c\u5728\u4e8e\u5728\u5b83\u7684\u521b\u5efa\u8fc7\u7a0b\u4e2d\uff0c\u51e0\u4e4e\u65e0\u9700\u4f9d\u8d56\u6807\u6ce8\u6570\u636e\uff0c\u4ec5\u901a\u8fc7\u5927\u89c4\u6a21\u7684\u5f3a\u5316\u5b66\u4e60\uff0c\u5c31\u80fd\u57f9\u80b2\u51fa\u4e00\u4e2a\u64c5\u957f\u5904\u7406\u63a8\u7406\u95ee\u9898\u7684\u6a21\u578b\u3002<\/p>\n

    \u63a5\u7740\uff0c\u8fd9\u4e2a\u672a\u547d\u540d\u7684\u63a8\u7406\u4e13\u5bb6\u6a21\u578b\u7684\u8f93\u51fa\u7ed3\u679c\uff0c\u53ef\u4ee5\u7528\u6765\u8bad\u7ec3\u4e00\u4e2a\u66f4\u4e3a\u591a\u80fd\u7684\u6a21\u578b\uff0c\u5b83\u4e0d\u4ec5\u80fd\u591f\u5904\u7406\u63a8\u7406\u4efb\u52a1\uff0c\u8fd8\u80fd\u5e94\u5bf9\u5176\u4ed6\u7c7b\u578b\u7684\u4efb\u52a1\uff0c\u6ee1\u8db3\u7528\u6237\u5bf9\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u7684\u666e\u904d\u671f\u5f85\u3002<\/p>\n

    \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

    2.3 \u5229\u7528\u5927\u89c4\u6a21\u5f3a\u5316\u5b66\u4e60\uff08RL\uff09\u6784\u5efa\u63a8\u7406\u6a21\u578b<\/h3>\n

    \u6b64\u5904\u5206\u4e3a\u4e24\u4e2a\u6b65\u9aa4\uff1a<\/p>\n

    2.3.1- \u4ee5\u63a8\u7406\u4e3a\u5bfc\u5411\u7684\u5927\u89c4\u6a21\u5f3a\u5316\u5b66\u4e60\uff08R1-Zero\uff09<\/h4>\n

    \u5728\u6b64\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u5229\u7528\u5f3a\u5316\u5b66\u4e60\uff08RL\uff09\u6765\u6784\u5efa\u4e00\u4e2a\u4e34\u65f6\u7684\u63a8\u7406\u6a21\u578b\u3002\u968f\u540e\uff0c\u8fd9\u4e2a\u6a21\u578b\u88ab\u7528\u4e8e\u751f\u6210\u7528\u4e8e\u76d1\u7763\u5f0f\u5fae\u8c03\uff08SFT\uff09\u7684\u63a8\u7406\u793a\u4f8b\u3002\u7136\u800c\uff0c\u80fd\u591f\u521b\u5efa\u8fd9\u4e2a\u6a21\u578b\u7684\u5173\u952e\uff0c\u5728\u4e8e\u4e4b\u524d\u7684\u4e00\u9879\u5b9e\u9a8c\uff0c\u8be5\u5b9e\u9a8c\u6210\u529f\u6253\u9020\u4e86\u4e00\u4e2a\u540d\u4e3a DeepSeek-R1-Zero \u7684\u65e9\u671f\u6a21\u578b\u3002<\/p>\n

    \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

    R1-Zero \u7684\u72ec\u7279\u4e4b\u5904\u5728\u4e8e\uff0c\u5b83\u80fd\u591f\u5728\u6ca1\u6709\u7ecf\u8fc7\u6807\u6ce8\u7684 SFT \u8bad\u7ec3\u96c6\u7684\u60c5\u51b5\u4e0b\uff0c\u4f9d\u7136\u5728\u63a8\u7406\u4efb\u52a1\u4e0a\u8868\u73b0\u5353\u8d8a\u3002\u5b83\u7684\u8bad\u7ec3\u8fc7\u7a0b\u76f4\u63a5\u4ece\u9884\u8bad\u7ec3\u7684\u57fa\u7840\u6a21\u578b\u51fa\u53d1\uff0c\u901a\u8fc7\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\uff08\u8df3\u8fc7\u4e86 SFT \u9636\u6bb5\uff09\u3002\u5b83\u7684\u8868\u73b0\u975e\u5e38\u51fa\u8272\uff0c\u80fd\u591f\u4e0e O1 \u6a21\u578b\u76f8\u5ab2\u7f8e\u3002<\/p>\n

    \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

    \u8fd9\u4e00\u6210\u5c31\u91cd\u8981\u91cd\u5927\uff0c\u56e0\u4e3a\u6570\u636e\u4e00\u76f4\u662f\u673a\u5668\u5b66\u4e60\u6a21\u578b\u80fd\u529b\u7684\u52a9\u63a8\u5668\u3002\u90a3\u4e48\uff0c\u8fd9\u4e2a\u6a21\u578b\u662f\u5982\u4f55\u6253\u7834\u8fd9\u4e00\u4f20\u7edf\u7684\u5462\uff1f\u8fd9\u4e3b\u8981\u5f52\u529f\u4e8e\u4ee5\u4e0b\u4e24\u70b9\uff1a<\/p>\n

    1- \u73b0\u4ee3\u57fa\u7840\u6a21\u578b\u5728\u8d28\u91cf\u548c\u80fd\u529b\u4e0a\u5df2\u7ecf\u8fbe\u5230\u4e86\u4e00\u4e2a\u4e34\u754c\u70b9\uff08\u8fd9\u4e2a\u57fa\u7840\u6a21\u578b\u662f\u5728\u9ad8\u8fbe 14.8 \u4e07\u4ebf\u7684\u9ad8\u8d28\u91cf tokens \u4e0a\u8bad\u7ec3\u800c\u6210\u7684\uff09\u3002<\/strong><\/p>\n

    2- \u4e0e\u901a\u7528\u804a\u5929\u6216\u5199\u4f5c\u8bf7\u6c42\u4e0d\u540c\uff0c\u63a8\u7406\u95ee\u9898\u53ef\u4ee5\u5b9e\u73b0\u81ea\u52a8\u9a8c\u8bc1\u6216\u6807\u6ce8\u3002<\/strong>\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u8fd9\u4e2a\u793a\u4f8b\u6765\u8bf4\u660e\u8fd9\u4e00\u70b9\u3002<\/p>\n

    \u793a\u4f8b\uff1a\u63a8\u7406\u95ee\u9898\u7684\u81ea\u52a8\u9a8c\u8bc1<\/strong><\/p>\n

    \u4ee5\u4e0b\u662f\u4e00\u4e2a\u53ef\u80fd\u51fa\u73b0\u5728 RL \u8bad\u7ec3\u6b65\u9aa4\u4e2d\u7684\u63d0\u793a\u8bcd\/\u95ee\u9898\uff1a<\/p>\n

    \u7f16\u5199\u4e00\u6bb5 Python \u4ee3\u7801\uff0c\u83b7\u53d6\u4e00\u4e2a\u6570\u5b57\u5217\u8868\uff0c\u8fd4\u56de\u6392\u5e8f\u540e\u7684\u5217\u8868\uff0c\u5e76\u5728\u5217\u8868\u5f00\u5934\u6dfb\u52a0\u6570\u5b57 42\u3002<\/p><\/blockquote>\n

    \u8fd9\u6837\u7684\u95ee\u9898\u975e\u5e38\u9002\u5408\u81ea\u52a8\u9a8c\u8bc1\u3002\u5047\u8bbe\u6211\u4eec\u5c06\u8fd9\u4e2a\u95ee\u9898\u629b\u7ed9\u6b63\u5728\u8bad\u7ec3\u7684\u6a21\u578b\uff0c\u5b83\u4f1a\u751f\u6210\uff1a<\/p>\n

      \n
    • \u4f7f\u7528\u8f6f\u4ef6\u8bed\u6cd5\u68c0\u67e5\u5668\u53ef\u4ee5\u9a8c\u8bc1\u751f\u6210\u7684\u4ee3\u7801\u662f\u5426\u4e3a\u6709\u6548\u7684 Python \u4ee3\u7801\u3002<\/li>\n
    • \u6211\u4eec\u53ef\u4ee5\u8fd0\u884c\u8fd9\u6bb5 Python \u4ee3\u7801\uff0c\u4ee5\u68c0\u67e5\u5176\u662f\u5426\u80fd\u591f\u6210\u529f\u6267\u884c\u3002<\/li>\n
    • \u5176\u4ed6\u73b0\u4ee3\u4ee3\u7801\u751f\u6210 LLM \u53ef\u4ee5\u521b\u5efa\u5355\u5143\u6d4b\u8bd5\u6765\u9a8c\u8bc1\u4ee3\u7801\u7684\u884c\u4e3a\u662f\u5426\u7b26\u5408\u9884\u671f\uff08\u5b83\u4eec\u81ea\u8eab\u65e0\u9700\u5177\u5907\u63a8\u7406\u80fd\u529b\uff09\u3002<\/li>\n
    • \u6211\u4eec\u751a\u81f3\u53ef\u4ee5\u8fdb\u4e00\u6b65\uff0c\u901a\u8fc7\u6d4b\u91cf\u4ee3\u7801\u7684\u6267\u884c\u65f6\u95f4\uff0c\u8ba9\u8bad\u7ec3\u8fc7\u7a0b\u504f\u597d\u90a3\u4e9b\u6027\u80fd\u66f4\u4f18\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u5373\u4f7f\u5176\u4ed6\u89e3\u51b3\u65b9\u6848\u4e5f\u662f\u6b63\u786e\u7684 Python \u7a0b\u5e8f\u3002<\/li>\n<\/ul>\n

      \u5728\u8bad\u7ec3\u6b65\u9aa4\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u5411\u6a21\u578b\u63d0\u51fa\u8fd9\u6837\u7684\u95ee\u9898\uff0c\u5e76\u751f\u6210\u591a\u79cd\u53ef\u80fd\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n

      \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

      \u6211\u4eec\u53ef\u4ee5\u4e0d\u4f9d\u8d56\u4eba\u5de5\u5e72\u9884\uff0c\u81ea\u52a8\u8fdb\u884c\u68c0\u67e5\uff0c\u53d1\u73b0\u7b2c\u4e00\u4e2a\u8f93\u51fa\u6839\u672c\u4e0d\u662f\u4ee3\u7801\u3002\u7b2c\u4e8c\u4e2a\u8f93\u51fa\u662f\u4ee3\u7801\uff0c\u4f46\u5e76\u975e Python \u4ee3\u7801\u3002\u7b2c\u4e09\u4e2a\u8f93\u51fa\u770b\u4f3c\u662f\u4e00\u4e2a\u89e3\u51b3\u65b9\u6848\uff0c\u5374\u672a\u80fd\u901a\u8fc7\u5355\u5143\u6d4b\u8bd5\uff0c\u800c\u7b2c\u56db\u4e2a\u8f93\u51fa\u5219\u662f\u6b63\u786e\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n

      \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

      \u8fd9\u4e9b\u53cd\u9988\u90fd\u662f\u53ef\u4ee5\u76f4\u63a5\u7528\u6765\u4f18\u5316\u6a21\u578b\u7684\u4fe1\u53f7\u3002\u8fd9\u4e00\u8fc7\u7a0b\u5f53\u7136\u662f\u5728\u5927\u91cf\u793a\u4f8b\uff08\u4ee5\u5c0f\u6279\u91cf\u5f62\u5f0f\uff09\u548c\u8fde\u7eed\u7684\u8bad\u7ec3\u6b65\u9aa4\u4e2d\u5b8c\u6210\u7684\u3002<\/p>\n

      \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

      \u8fd9\u4e9b\u5956\u52b1\u4fe1\u53f7\u548c\u6a21\u578b\u66f4\u65b0\u662f\u6a21\u578b\u5728\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u4e0d\u65ad\u8fdb\u6b65\u7684\u5173\u952e\uff0c\u5982\u4e0b\u56fe\u6240\u793a\u3002<\/p>\n

      \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

      \u4e0e\u6b64\u80fd\u529b\u63d0\u5347\u76f8\u4f34\u7684\u662f\uff0c\u6a21\u578b\u751f\u6210\u4e86\u66f4\u957f\u7684\u54cd\u5e94\uff0c\u5373\u4f7f\u7528\u4e86\u66f4\u591a\u7684\u601d\u8003 tokens \u6765\u5904\u7406\u95ee\u9898\u3002<\/p>\n

      \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

      \u5c3d\u7ba1\u8fd9\u4e2a\u8fc7\u7a0b\u5f88\u6709\u4ef7\u503c\uff0c\u4f46 R1-Zero \u6a21\u578b\u5728\u63a8\u7406\u95ee\u9898\u4e0a\u7684\u9ad8\u5206\u8868\u73b0\u80cc\u540e\uff0c\u4ecd\u5b58\u5728\u4e00\u4e9b\u95ee\u9898\uff0c\u4f7f\u5176\u5b9e\u9645\u53ef\u7528\u6027\u672a\u8fbe\u7406\u60f3\u72b6\u6001\u3002<\/p>\n

      \u867d\u7136 DeepSeek-R1-Zero \u5c55\u73b0\u51fa\u4e86\u5353\u8d8a\u7684\u63a8\u7406\u80fd\u529b\uff0c\u5e76\u81ea\u4e3b\u53d1\u5c55\u51fa\u4e86\u51fa\u4eba\u610f\u6599\u7684\u5f3a\u5927\u63a8\u7406\u884c\u4e3a\uff0c\u4f46\u5b83\u4e5f\u906d\u9047\u4e86\u4e00\u4e9b\u6311\u6218\uff0c\u6bd4\u5982\u6587\u672c\u53ef\u8bfb\u6027\u4e0d\u4f73\u548c\u8bed\u8a00\u6df7\u6742\u7b49\u95ee\u9898\u3002<\/p><\/blockquote>\n

      R1 \u6a21\u578b\u7684\u8bbe\u8ba1\u76ee\u6807\u662f\u63d0\u9ad8\u53ef\u7528\u6027\u3002\u56e0\u6b64\uff0c\u5b83\uff08DeepSeek-R1-Zero\uff09\u4e0d\u4ec5\u4ec5\u5b8c\u5168\u4f9d\u8d56\u4e8e\u5f3a\u5316\u5b66\u4e60\u8fc7\u7a0b\uff0c\u800c\u662f\u5982\u524d\u6587\u6240\u8ff0\uff0c\u5728\u4ee5\u4e0b\u4e24\u4e2a\u65b9\u9762\u53d1\u6325\u4f5c\u7528\uff1a<\/p>\n

      1- \u521b\u5efa\u4e00\u4e2a\u8fc7\u6e21\u6027\u7684\u63a8\u7406\u6a21\u578b\uff0c\u7528\u4ee5\u751f\u6210\u76d1\u7763\u5f0f\u5fae\u8c03\uff08SFT\uff09\u7684\u6570\u636e\u70b9\u3002<\/strong><\/p>\n

      2- \u8bad\u7ec3 R1 \u6a21\u578b\uff0c\u4ee5\u5728\u63a8\u7406\u548c\u975e\u63a8\u7406\u95ee\u9898\u4e0a\u53d6\u5f97\u8fdb\u6b65\uff08\u5229\u7528\u5176\u4ed6\u7c7b\u578b\u7684\u9a8c\u8bc1\u5668\uff09\u3002<\/strong><\/p>\n

      \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

      2.3.2- \u5229\u7528\u8fc7\u6e21\u6027\u63a8\u7406\u6a21\u578b\u751f\u6210 SFT \u63a8\u7406\u6570\u636e<\/h4>\n

      \u4e3a\u4e86\u63d0\u5347\u8fc7\u6e21\u6027\u63a8\u7406\u6a21\u578b\u7684\u5b9e\u9645\u6548\u7528\uff0c\u6211\u4eec\u5bf9\u5176\u8fdb\u884c\u4e86\u76d1\u7763\u5f0f\u5fae\u8c03\uff08SFT\uff09\u8bad\u7ec3\uff0c\u8fd9\u4e00\u6b65\u9aa4\u5728\u6570\u5343\u4e2a\u63a8\u7406\u95ee\u9898\u793a\u4f8b\u4e0a\u8fdb\u884c\uff08\u90e8\u5206\u793a\u4f8b\u7531 R1-Zero \u751f\u6210\u5e76\u7b5b\u9009\uff09\u3002\u5728\u8bba\u6587\u4e2d\uff0c\u8fd9\u4e9b\u793a\u4f8b\u88ab\u79f0\u4e3a\u201c\u51b7\u542f\u52a8\u6570\u636e\u201d\u3002<\/p>\n

      2.3.1. \u51b7\u542f\u52a8\u9636\u6bb5<\/p>\n

      \u4e0e DeepSeek-R1-Zero \u4e0d\u540c\uff0c\u4e3a\u4e86\u9632\u6b62\u57fa\u7840\u6a21\u578b\u5728\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u521d\u671f\u51fa\u73b0\u4e0d\u7a33\u5b9a\u7684\u51b7\u542f\u52a8\u95ee\u9898\uff0c\u5bf9\u4e8e DeepSeek-R1\uff0c\u6211\u4eec\u6784\u5efa\u5e76\u6536\u96c6\u4e86\u5c11\u91cf\u957f\u601d\u7ef4\u94fe\uff08CoT\uff09\u6570\u636e\u5bf9\u6a21\u578b\u8fdb\u884c\u5fae\u8c03\uff0c\u5c06\u5176\u4f5c\u4e3a\u521d\u59cb\u7684\u5f3a\u5316\u5b66\u4e60\u7b56\u7565\u6a21\u578b\u3002\u4e3a\u6536\u96c6\u8fd9\u7c7b\u6570\u636e\uff0c\u6211\u4eec\u63a2\u7d22\u4e86\u591a\u79cd\u65b9\u6cd5\uff1a\u4f7f\u7528\u5e26\u6709\u957f CoT \u793a\u4f8b\u7684\u5c0f\u6837\u672c\u63d0\u793a\u6280\u672f\u3001\u76f4\u63a5\u63d0\u793a\u6a21\u578b\u751f\u6210\u5e26\u6709\u53cd\u601d\u548c\u9a8c\u8bc1\u7684\u8be6\u7ec6\u7b54\u6848\u3001\u6536\u96c6 DeepSeek-R1-Zero \u751f\u6210\u7684\u6613\u8bfb\u683c\u5f0f\u8f93\u51fa\uff0c\u5e76\u901a\u8fc7\u4eba\u5de5\u6807\u6ce8\u5458\u5bf9\u7ed3\u679c\u8fdb\u884c\u540e\u5904\u7406\u7ec6\u5316\u3002<\/p><\/blockquote>\n

      \u4f46\u6216\u8bb8\u4f60\u4f1a\u95ee\uff0c\u65e2\u7136\u6211\u4eec\u5df2\u7ecf\u6709\u4e86\u8fd9\u4e9b\u6570\u636e\uff0c\u4e3a\u4ec0\u4e48\u8fd8\u9700\u8981\u4f9d\u8d56\u5f3a\u5316\u5b66\u4e60\u8fc7\u7a0b\u5462\uff1f\u7b54\u6848\u5728\u4e8e\u6570\u636e\u7684\u89c4\u6a21\u3002\u6211\u4eec\u53ef\u4ee5\u83b7\u53d6\u7684\u53ef\u80fd\u53ea\u6709 5,000 \u4e2a\u793a\u4f8b\u7684\u6570\u636e\u96c6\uff0c\u800c\u8bad\u7ec3 R1 \u5219\u9700\u8981 600,000 \u4e2a\u793a\u4f8b\u3002<\/strong>\u8fd9\u4e2a\u8fc7\u6e21\u6027\u6a21\u578b\u5e2e\u52a9\u6211\u4eec\u7f29\u5c0f\u4e86\u8fd9\u4e00\u5dee\u8ddd\uff0c\u5e76\u4f7f\u6211\u4eec\u80fd\u591f\u5408\u6210\u751f\u6210\u90a3\u4e9b\u6781\u4e3a\u91cd\u8981\u7684\u6570\u636e\u3002<\/p>\n

      \u5bf9\u4e8e\u76d1\u7763\u5f0f\u5fae\u8c03\uff08SFT\uff09\u8fd9\u4e00\u6982\u5ff5\uff0c\u53ef\u80fd\u4f60\u8fd8\u4e0d\u592a\u719f\u6089\uff0c\u5b83\u662f\u4e00\u79cd\u8bad\u7ec3\u8fc7\u7a0b\uff0c\u901a\u8fc7\u5411\u6a21\u578b\u5c55\u793a\u5f62\u5f0f\u4e3a\u63d0\u793a\u8bcd\u548c\u6b63\u786e\u8865\u5168\u7684\u8bad\u7ec3\u793a\u4f8b\u6765\u8fdb\u884c\u3002\u4e0b\u9762\u8fd9\u4e2a\u56fe\u5c55\u793a\u4e86\u4e66\u7c4d\u300aHands-On Large Language Models\u300b\u7b2c 12 \u7ae0\u4e2d\u7684\u4e00\u4e9b SFT \u8bad\u7ec3\u793a\u4f8b\uff1a<\/p>\n

      \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

      2.3.3- \u5e38\u89c4\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u9636\u6bb5<\/h4>\n

      \u8fd9\u6837\uff0cR1 \u6a21\u578b\u4e0d\u4ec5\u5728\u63a8\u7406\u4efb\u52a1\u4e0a\u8868\u73b0\u5353\u8d8a\uff0c\u8fd8\u80fd\u6709\u6548\u5730\u5e94\u5bf9\u5176\u4ed6\u975e\u63a8\u7406\u7c7b\u4efb\u52a1\u3002\u8fd9\u4e00\u8fc7\u7a0b\u4e0e\u6211\u4eec\u4e4b\u524d\u63d0\u5230\u7684\u5f3a\u5316\u5b66\u4e60\u8fc7\u7a0b\u76f8\u4f3c\uff0c\u4f46\u56e0\u4e3a\u5b83\u6db5\u76d6\u4e86\u975e\u63a8\u7406\u9886\u57df\u7684\u5e94\u7528\uff0c\u6240\u4ee5\u5b83\u8fd8\u5f15\u5165\u4e86\u4e00\u4e2a\u5b9e\u7528\u6027\u5956\u52b1\u6a21\u578b\u548c\u5b89\u5168\u6027\u5956\u52b1\u6a21\u578b\uff08\u4e0e Llama \u6a21\u578b\u6709\u76f8\u4f3c\u4e4b\u5904\uff09\uff0c\u7528\u4e8e\u5904\u7406\u8fd9\u4e9b\u5e94\u7528\u9886\u57df\u7684\u63d0\u793a\u8bcd\u3002<\/p>\n

      \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

      03<\/p>\n

      \u6a21\u578b\u67b6\u6784<\/h2>\n

      \u4e0e GPT2[2]<\/sup>\u00a0\u548c GPT3[3]<\/sup>\u00a0\u7b49\u540c\u6e90\u7684\u65e9\u671f\u6a21\u578b\u4e00\u6837\uff0cDeepSeek-R1 \u4e5f\u662f\u7531 Transformer[4]<\/sup>\u00a0\u89e3\u7801\u5668\u5757\u5806\u53e0\u800c\u6210\uff0c\u603b\u5171\u5305\u542b\u4e86 61 \u4e2a\u8fd9\u6837\u7684\u5757\u3002\u5176\u4e2d\uff0c\u524d\u4e09\u4e2a\u5757\u662f\u5bc6\u96c6\u5c42\uff0c\u800c\u540e\u7eed\u7684\u5219\u662f\u91c7\u7528\u4e86\u6df7\u5408\u4e13\u5bb6\u5c42\uff08MoE\uff09\u3002<\/p>\n

      \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

      \u5173\u4e8e\u6a21\u578b\u7684\u7ef4\u5ea6\u5927\u5c0f\u548c\u5176\u4ed6\u8d85\u53c2\u6570\u914d\u7f6e\uff0c\u5177\u4f53\u4fe1\u606f\u5982\u4e0b\uff1a<\/p>\n

      \"\u56fe\u7247\"\u56fe\u7247<\/span><\/p>\n

      \u6709\u5173\u6a21\u578b\u67b6\u6784\u7684\u66f4\u591a\u8be6\u7ec6\u4fe1\u606f\uff0c\u53ef\u4ee5\u5728\u4ed6\u4eec\u4e4b\u524d\u53d1\u8868\u7684\u4e24\u7bc7\u8bba\u6587\u4e2d\u627e\u5230\uff1a<\/p>\n

        \n
      • DeepSeek-V3 Technical Report[1]<\/sup><\/li>\n
      • DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models[5]<\/sup><\/li>\n<\/ul>\n

        4.Conclusion<\/h2>\n

        \u901a\u8fc7\u4e0a\u8ff0\u5185\u5bb9\uff0c\u76f8\u4fe1\u4f60\u73b0\u5728\u5e94\u8be5\u5bf9 DeepSeek-R1 \u6a21\u578b\u6709\u4e86\u57fa\u672c\u7684\u7406\u89e3\u3002<\/p>\n

        \u5982\u679c\u4f60\u89c9\u5f97\u9700\u8981\u66f4\u591a\u57fa\u7840\u77e5\u8bc6\u6765\u7406\u89e3\u8fd9\u7bc7\u6587\u7ae0\uff0c\u6211\u5efa\u8bae\u4f60\u83b7\u53d6\u4e00\u672c\u300aHands-On Large Language Models\u300b[6]<\/sup>\u6216\u8005\u5728\u7ebf\u5728 O\u2019Reilly[7]<\/sup>\u00a0\u4e0a\u9605\u8bfb\uff0c\u5e76\u5728 Github[8]<\/sup>\u00a0\u4e0a\u67e5\u770b\u76f8\u5173\u5185\u5bb9\u3002<\/p>\n

        Thanks for reading!<\/p>\n

        Hope you have enjoyed and learned new things from this blog!<\/p>\n

        About the author<\/strong><\/p>\n

        Jay Alammar<\/strong><\/p>\n

        Machine learning R&D. Builder. Writer. Visualizing artificial intelligence & machine learning one concept at a time. @CohereAI.<\/p>\n

        \u6587\u7ae0\u6765\u81ea\uff1a51CTO<\/p>\n<\/div>\n<\/div>\n

        <\/div>\n

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        <\/div>\n","protected":false},"excerpt":{"rendered":"

        \u4eca\u5929\u8fd9\u7bc7\u6df1\u5ea6\u89e3\u6790 DeepSeek-R1 \u8bad\u7ec3\u65b9\u6cd5\u7684\u6587\u7ae0\uff0c\u5c06\u5c55\u793a\u4e00\u4e2a\u4ee4\u4eba\u8033\u76ee\u4e00\u65b0\u7684\u89e3\u51b3\u65b9\u6848\uff1a\u5982\u4f55\u901a\u8fc7\u521b\u65b0\u7684\u5f3a\u5316 […]<\/p>\n

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