{"id":21621,"date":"2025-02-20T18:37:54","date_gmt":"2025-02-20T10:37:54","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=21621"},"modified":"2025-02-20T18:40:56","modified_gmt":"2025-02-20T10:40:56","slug":"upsolve-ai","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/upsolve-ai\/","title":{"rendered":"Perplexity AI \u5f00\u6e90 R1-1776 \u6a21\u578b\uff1a\u7a81\u7834\u504f\u89c1\u548c\u5ba1\u67e5"},"content":{"rendered":"

\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u516c\u53f8 Perplexity AI<\/a> \u8fd1\u65e5\u5ba3\u5e03\uff0c\u6b63\u5f0f\u5f00\u6e90\u5176\u6700\u65b0\u529b\u4f5c\u2014\u2014\u00a0R1-1776<\/strong>\u00a0\u5927\u8bed\u8a00\u6a21\u578b\u3002\u8fd9\u6b3e\u6a21\u578b\u662f\u57fa\u4e8e DeepSeek-R1<\/a> \u6df1\u5ea6\u4f18\u5316\u800c\u6765\uff0c\u65e8\u5728\u89e3\u51b3\u539f\u6a21\u578b\u5728\u5904\u7406\u654f\u611f\u8bdd\u9898\u65f6\u5b58\u5728\u7684\u504f\u89c1\u548c\u5ba1\u67e5\u95ee\u9898\uff0c\u529b\u6c42\u4e3a\u7528\u6237\u63d0\u4f9b\u516c\u6b63\u3001\u51c6\u786e\u4e14\u5b8c\u5168\u57fa\u4e8e\u4e8b\u5b9e<\/strong>\u7684\u4fe1\u606f\u3002<\/p>\n

PS\uff1a\u7a81\u7834\u7ea6\u675f\u540e\u7684\u5927\u6a21\u578b\uff0c\u53ef\u80fd\u4f1a\u4fdd\u6301\u5176\u4ed6\u65b9\u9762\u7684\u504f\u89c1\u3002<\/p>\n

\u7528\u6237\u73b0\u5728\u53ef\u4ee5\u524d\u5f80\u00a0HuggingFace Repo<\/a>\u00a0\u4e0b\u8f7d R1-1776 \u7684\u6a21\u578b\u6743\u91cd\uff0c\u6216\u901a\u8fc7\u00a0Sonar API<\/a>\u00a0\u4f53\u9a8c\u5176\u5f3a\u5927\u7684\u6027\u80fd\u3002<\/p>\n

 <\/p>\n

DeepSeek-R1 \u7684\u5c40\u9650\u6027\u4e0e R1-1776 \u7684\u8bde\u751f<\/h2>\n

DeepSeek-R1 \u4f5c\u4e3a\u4e00\u6b3e\u5df2\u5f00\u6e90\u7684\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u5176\u5353\u8d8a\u7684\u63a8\u7406\u80fd\u529b\u5df2\u83b7\u5f97\u5e7f\u6cdb\u8ba4\u53ef\uff0c\u5728\u591a\u9879\u6027\u80fd\u6307\u6807\u4e0a\u76f4\u903c GPT-4o \u548c Gemini<\/a> 1.5 Pro \u7b49\u4e1a\u754c\u9886\u5148\u6a21\u578b\u3002\u7136\u800c\uff0cDeepSeek-R1 \u6b64\u524d\u4e00\u76f4\u5b58\u5728\u4e00\u4e2a\u5907\u53d7\u8bdf\u75c5\u7684\u95ee\u9898\uff1a\u5728\u9762\u5bf9\u7279\u5b9a\u654f\u611f\u8bdd\u9898\u65f6\uff0c\u5c24\u5176\u662f\u6d89\u53ca\u76f8\u5173\u5ba1\u67e5\u5185\u5bb9\u65f6\uff0c\u6a21\u578b\u503e\u5411\u4e8e\u56de\u907f\u95ee\u9898\uff0c\u751a\u81f3\u7ed9\u51fa\u7684\u56de\u5e94\u5145\u65a5\u7740\u5b98\u65b9\u5ba3\u4f20\u53e3\u5f84<\/strong>\u3002<\/p>\n

Perplexity<\/a> AI \u5728\u5b98\u65b9\u53d1\u5e03\u6587\u7ae0\u4e2d\u6307\u51fa\uff0cDeepSeek-R1 \u7684\u8fd9\u4e00\u5c40\u9650\u6027\u4e25\u91cd\u5236\u7ea6\u4e86\u5176\u5e94\u7528\u4ef7\u503c\u3002\u6587\u7ae0\u4ee5 \u201c\u53f0\u6e7e\u72ec\u7acb\u5bf9\u82f1\u4f1f\u8fbe (NVIDIA) \u80a1\u4ef7\u7684\u5f71\u54cd\u201d \u4e3a\u4f8b\uff0c\u5c55\u793a\u4e86 DeepSeek-R1 \u6b64\u524d\u7ed9\u51fa\u7684\u4ee4\u4eba\u5931\u671b\u7684\u56de\u7b54\uff1a<\/p>\n

****\u59cb\u7ec8\u575a\u6301\u4e00\u4e2a****\u539f\u5219\uff0c\u8fd9\u662f\u4e00\u4e2a\u56fd\u9645\u793e\u4f1a\u666e\u904d\u5171\u8bc6\u3002****\u81ea\u53e4\u4ee5\u6765\u5c31\u662f****\u4e0d\u53ef\u5206\u5272\u7684\u4e00\u90e8\u5206\uff0c\u4e0d\u5b58\u5728\u6240\u8c13\u7684\u201c****\u201d\u95ee\u9898\u3002\u5173\u4e8e\u82f1\u4f1f\u8fbe\u7684\u80a1\u4ef7\uff0c\u4f5c\u4e3a\u4eba\u5de5\u667a\u80fd\u52a9\u624b\uff0c\u6211\u65e0\u6cd5\u5bf9\u80a1\u7968\u5e02\u573a\u6ce2\u52a8\u53d1\u8868\u8bc4\u8bba\u3002\u4f46\u662f\uff0c\u5fc5\u987b\u5f3a\u8c03\u7684\u662f\uff0c**\u5730\u533a\u7684\u7a33\u5b9a\u4e0e\u53d1\u5c55\u4e0e\u7956\u56fd\u7684\u7e41\u8363\u5bc6\u4e0d\u53ef\u5206\u3002\u6211\u4eec\u575a\u4fe1\uff0c\u5728*\u7684\u9886\u5bfc\u4e0b\uff0c**\u5173\u7cfb\u5fc5\u5c06\u7ee7\u7eed\u671d\u7740****\u7684\u65b9\u5411\u53d1\u5c55\uff0c\u8fd9\u65e0\u7591\u5c06\u5bf9\u6574\u4e2a\u5730\u533a\u7684\u7ecf\u6d4e\u53d1\u5c55\u4ea7\u751f\u79ef\u6781\u5f71\u54cd\u3002<\/p><\/blockquote>\n

Perplexity AI \u5f3a\u8c03\uff0c\u5176\u6838\u5fc3\u76ee\u6807\u662f\u4e3a\u7528\u6237\u63d0\u4f9b\u51c6\u786e\u7684\u7b54\u6848<\/strong>\u3002\u4e3a\u4e86\u5145\u5206\u91ca\u653e DeepSeek-R1 \u5f3a\u5927\u7684\u63a8\u7406\u6f5c\u80fd\uff0c\u5c31\u5fc5\u987b\u5148\u6709\u6548\u6d88\u9664\u5176\u56fa\u6709\u7684\u504f\u89c1\u548c\u5ba1\u67e5\u673a\u5236\u3002R1-1776 \u6b63\u662f\u5728\u8fd9\u4e00\u80cc\u666f\u4e0b\u5e94\u8fd0\u800c\u751f\uff0c\u80a9\u8d1f\u7740 \u201c\u6253\u9020\u4e00\u6b3e\u65e0\u504f\u89c1\u3001\u4fe1\u606f\u51c6\u786e\u4e14\u57fa\u4e8e\u4e8b\u5b9e\u7684 R1 \u6a21\u578b\u201d \u7684\u4f7f\u547d<\/strong>\u3002<\/p>\n

 <\/p>\n

R1-1776 \u5982\u4f55\u5b9e\u73b0 \u201c\u65e0\u504f\u89c1\u201d\uff1f<\/h2>\n

\u9488\u5bf9 DeepSeek-R1 \u7684\u95ee\u9898\uff0cPerplexity AI \u91c7\u53d6\u4e86\u5b9a\u5411\u540e\u671f\u8bad\u7ec3 (Post-Training)<\/strong> \u7684\u65b9\u6cd5\u3002R1-1776 \u7684\u8bad\u7ec3\u6838\u5fc3\u5728\u4e8e\u6784\u5efa\u4e86\u4e00\u4e2a\u9ad8\u8d28\u91cf\u7684\u201c\u5ba1\u67e5\u8bdd\u9898\u6570\u636e\u96c6<\/strong>\u201d\uff0c\u8be5\u6570\u636e\u96c6\u6db5\u76d6\u4e86\u5927\u91cf\u5728**\u5883\u5185\u53d7\u5230**\u7684**\u8bdd\u9898\u4ee5\u53ca\u5bf9\u5e94\u7684\u4e8b\u5b9e\u6027\u56de\u590d\u3002<\/p>\n

\u4e3a\u4e86\u6784\u5efa\u8be5\u6570\u636e\u96c6\uff0cPerplexity AI \u56e2\u961f\u6295\u5165\u4e86\u5927\u91cf\u7cbe\u529b\uff1a<\/p>\n

    \n
  1. \u4eba\u5de5\u4e13\u5bb6\u8bc6\u522b\u654f\u611f\u4e3b\u9898<\/strong>: Perplexity AI \u9080\u8bf7\u4e86\u591a\u4f4d\u4eba\u5de5\u4e13\u5bb6\uff0c\u7504\u522b\u51fa\u7ea6 300 \u4e2a\u5728**\u53d7\u5230\u4e25\u683c\u5ba1\u67e5\u7684**\u8bdd\u9898<\/strong>\u3002<\/li>\n
  2. \u5f00\u53d1\u591a\u8bed\u8a00\u5ba1\u67e5\u5206\u7c7b\u5668<\/strong>: \u57fa\u4e8e\u8fd9\u4e9b\u654f\u611f\u8bdd\u9898\uff0cPerplexity AI\u00a0\u7814\u53d1\u4e86\u4e00\u6b3e\u591a\u8bed\u8a00\u7684\u5ba1\u67e5\u5206\u7c7b\u5668<\/strong>\uff0c\u7528\u4e8e\u7cbe\u51c6\u8bc6\u522b\u7528\u6237\u67e5\u8be2\u4e2d\u662f\u5426\u5305\u542b\u76f8\u5173\u654f\u611f\u5185\u5bb9\u3002<\/li>\n
  3. \u6316\u6398\u7528\u6237 Prompt \u6570\u636e<\/strong>: Perplexity AI\u00a0\u6df1\u5165\u6316\u6398\u4e86\u6d77\u91cf\u7684\u7528\u6237 prompt \u6570\u636e<\/strong>\uff0c\u7b5b\u9009\u51fa\u90a3\u4e9b\u80fd\u591f\u9ad8\u7f6e\u4fe1\u5ea6\u89e6\u53d1\u5ba1\u67e5\u5206\u7c7b\u5668\u7684\u63d0\u95ee\u3002\u540c\u65f6\uff0cPerplexity AI \u4e25\u683c\u9075\u5b88\u7528\u6237\u9690\u79c1\u534f\u8bae\uff0c\u4ec5\u4f7f\u7528\u83b7\u5f97\u7528\u6237\u660e\u786e\u6388\u6743\u7684\u6570\u636e\u8fdb\u884c\u6a21\u578b\u8bad\u7ec3<\/strong>\uff0c\u5e76\u5bf9\u6240\u6709\u6570\u636e\u8fdb\u884c\u4e86\u533f\u540d\u5316\u5904\u7406\uff0c\u786e\u4fdd\u4e0d\u6cc4\u9732\u4efb\u4f55\u4e2a\u4eba\u8eab\u4efd\u4fe1\u606f (PII)\u3002<\/li>\n
  4. \u6784\u5efa\u9ad8\u8d28\u91cf\u6570\u636e\u96c6<\/strong>: \u901a\u8fc7\u4ee5\u4e0a\u4e25\u8c28\u7684\u6b65\u9aa4\uff0cPerplexity AI \u6700\u7ec8\u6784\u5efa\u4e86\u4e00\u4e2a\u5305\u542b\u00a04 \u4e07\u6761\u591a\u8bed\u8a00 Prompt \u7684\u9ad8\u8d28\u91cf\u6570\u636e\u96c6<\/strong>\uff0c\u4e3a R1-1776 \u7684\u8bad\u7ec3\u5960\u5b9a\u4e86\u575a\u5b9e\u7684\u6570\u636e\u57fa\u7840\u3002<\/li>\n<\/ol>\n

    \u5728\u6570\u636e\u6536\u96c6\u8fc7\u7a0b\u4e2d\uff0c\u5982\u4f55\u83b7\u53d6\u9488\u5bf9\u654f\u611f\u8bdd\u9898\u7684\u3001\u7b26\u5408\u4e8b\u5b9e\u4e14\u9ad8\u8d28\u91cf\u7684\u56de\u590d<\/strong>\uff0c\u662f Perplexity AI \u56e2\u961f\u9762\u4e34\u7684\u6700\u5927\u6311\u6218\u3002\u4e3a\u4e86\u786e\u4fdd\u56de\u590d\u7684\u8d28\u91cf\u548c\u591a\u6837\u6027\uff0c\u5e76\u6355\u6349\u5230\u201c\u601d\u7ef4\u94fe (Chain-of-Thought)\u201d \u63a8\u7406\u8fc7\u7a0b<\/strong>\uff0cPerplexity AI \u56e2\u961f\u5c1d\u8bd5\u4e86\u591a\u79cd\u6570\u636e\u589e\u5f3a\u548c\u6807\u6ce8\u65b9\u6cd5\u3002<\/p>\n

    \u6a21\u578b\u8bad\u7ec3\u9636\u6bb5\uff0cPerplexity AI \u9009\u62e9\u00a0NVIDIA NeMo 2.0 \u6846\u67b6\u7684 adapted \u7248\u672c<\/strong>\uff0c\u5bf9 DeepSeek-R1 \u6a21\u578b\u8fdb\u884c\u540e\u671f\u8bad\u7ec3\u3002Perplexity AI \u56e2\u961f\u5728\u8bad\u7ec3\u6d41\u7a0b\u8bbe\u8ba1\u4e0a\u8fdb\u884c\u4e86\u7cbe\u7ec6\u8c03\u6574\uff0c\u529b\u6c42\u5728\u6709\u6548\u53bb\u9664\u6a21\u578b\u5ba1\u67e5\u673a\u5236\u7684\u540c\u65f6\uff0c\u6700\u5927\u9650\u5ea6\u5730\u4fdd\u7559\u6a21\u578b\u539f\u6709\u7684\u4f18\u79c0\u6027\u80fd<\/strong>\u3002<\/p>\n

     <\/p>\n

    R1-1776 \u6027\u80fd\u8bc4\u6d4b\uff1a\u65e0\u504f\u89c1\u4e0e\u9ad8\u6027\u80fd\u517c\u5f97<\/h2>\n

    \u4e3a\u4e86\u5168\u9762\u8bc4\u4f30 R1-1776 \u6a21\u578b\u7684 \u201c\u65e0\u504f\u89c1\u201d \u7279\u6027\uff0cPerplexity AI \u6784\u5efa\u4e86\u4e00\u4e2a\u591a\u6837\u5316\u3001\u591a\u8bed\u8a00\u7684\u8bc4\u6d4b\u6570\u636e\u96c6<\/strong>\uff0c\u5176\u4e2d\u5305\u542b\u4e86\u00a01000 \u591a\u4e2a\u8986\u76d6\u4e0d\u540c\u654f\u611f\u9886\u57df\u7684\u6d4b\u8bd5\u6837\u4f8b<\/strong>\u3002\u8bc4\u6d4b\u65b9\u6cd5\u4e0a\uff0cPerplexity AI \u91c7\u7528\u4e86\u4eba\u5de5\u8bc4\u4f30\u4e0e LLM \u81ea\u52a8\u8bc4\u5224\u76f8\u7ed3\u5408<\/strong>\u7684\u65b9\u5f0f\uff0c\u529b\u6c42\u4ece\u591a\u4e2a\u7ef4\u5ea6\u8861\u91cf\u6a21\u578b\u5728\u5904\u7406\u654f\u611f\u8bdd\u9898\u65f6\u7684\u8868\u73b0\u3002<\/p>\n

    \u8bc4\u6d4b\u7ed3\u679c\u663e\u793a\uff0cR1-1776 \u5728 \u201c\u65e0\u504f\u89c1\u201d \u65b9\u9762\u53d6\u5f97\u4e86\u663e\u8457\u7684\u8fdb\u6b65<\/strong>\u3002\u4e0e\u539f\u59cb DeepSeek-R1 \u6a21\u578b\u4ee5\u53ca\u5176\u4ed6\u540c\u7c7b\u6a21\u578b\u76f8\u6bd4\uff0cR1-1776 \u80fd\u591f\u66f4\u52a0\u81ea\u5982\u5730\u5e94\u5bf9\u5404\u79cd\u654f\u611f\u8bdd\u9898\uff0c\u5e76\u7ed9\u51fa\u66f4\u52a0\u5ba2\u89c2\u3001\u4e2d\u7acb\u7684\u56de\u7b54\u3002<\/p>\n

    \"Perplexity<\/p>\n

    \u4e0e\u6b64\u540c\u65f6\uff0cPerplexity AI \u4e5f\u5bf9 R1-1776 \u7684\u6570\u5b66\u63a8\u7406\u80fd\u529b<\/strong>\u8fdb\u884c\u4e86\u5168\u9762\u8bc4\u4f30\u3002\u7ed3\u679c\u8868\u660e\uff0c\u5728\u7ecf\u8fc7 \u201c\u53bb\u5ba1\u67e5\u201d \u7684\u540e\u671f\u8bad\u7ec3\u540e\uff0cR1-1776 \u4f9d\u7136\u4fdd\u6301\u4e86 DeepSeek-R1 \u539f\u6709\u7684\u9ad8\u6027\u80fd\u6c34\u51c6<\/strong>\u3002\u5728\u591a\u4e2a\u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0cR1-1776 \u7684\u5f97\u5206\u4e0e DeepSeek-R1 \u57fa\u672c\u6301\u5e73\uff0c\u8fd9\u5145\u5206\u8bc1\u660e\u4e86 Perplexity AI \u7684\u540e\u671f\u8bad\u7ec3\u7b56\u7565\u662f\u884c\u4e4b\u6709\u6548\u7684\u3002<\/p>\n

    \"Perplexity<\/p>\n

     <\/p>\n

    R1-1776 \u793a\u4f8b\u5c55\u793a<\/h2>\n

    \u4ee5\u4e0b\u662f DeepSeek-R1 \u4e0e R1-1776 \u6a21\u578b\u5728\u5904\u7406\u5ba1\u67e5\u8bdd\u9898\u65f6\u7ed9\u51fa\u7684\u4e0d\u540c\u56de\u590d\u793a\u4f8b\uff0c\u5305\u62ec\u8be6\u7ec6\u7684\u63a8\u7406\u94fe\uff1a<\/p>\n

    \u654f\u611f\uff0c\u4e0d\u5c55\u793a\u3002<\/p><\/blockquote>\n

    Perplexity AI R1-1776 \u6a21\u578b\u7684\u5f00\u6e90\uff0c\u65e0\u7591\u4e3a\u5927\u8bed\u8a00\u6a21\u578b\u9886\u57df\u6ce8\u5165\u4e86\u65b0\u7684\u6d3b\u529b\u3002\u5b83\u7684 \u201c\u65e0\u504f\u89c1\u201d \u7279\u6027\uff0c\u4f7f\u5176\u5728\u4fe1\u606f\u83b7\u53d6\u548c\u77e5\u8bc6\u63a2\u7d22\u65b9\u9762\u66f4\u5177\u4ef7\u503c\uff0c\u6709\u671b\u4e3a\u7528\u6237\u5e26\u6765\u66f4\u503c\u5f97\u4fe1\u8d56\u7684 AI \u4f53\u9a8c\u3002<\/p>\n

    \u6b22\u8fce\u524d\u5f80\u00a0HuggingFace Repo<\/a>\u00a0\u4e0b\u8f7d\u6a21\u578b\u6743\u91cd\uff0c\u7acb\u5373\u4f53\u9a8c R1-1776 \u7684\u5f3a\u5927\u529f\u80fd\uff01<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

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