{"id":3897,"date":"2024-06-13T17:15:34","date_gmt":"2024-06-13T09:15:34","guid":{"rendered":"https:\/\/nullthought.net\/?p=3897"},"modified":"2025-03-20T14:04:37","modified_gmt":"2025-03-20T06:04:37","slug":"%e4%b8%aa%e4%ba%ba%e5%81%a5%e5%ba%b7%e5%a4%a7%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b-ph-llm","status":"publish","type":"post","link":"https:\/\/nullthought.net\/?p=3897","title":{"rendered":"\u4e2a\u4eba\u5065\u5eb7\u5927\u8bed\u8a00\u6a21\u578b (PH-LLM)"},"content":{"rendered":"\n

\u6bcf\u4e2a\u4eba\u7684\u5065\u5eb7\u548c\u4fdd\u5065\u4e4b\u65c5\u90fd\u662f\u72ec\u7279\u7684\uff0cAI\u53ef\u4ee5\u5e2e\u52a9\u521b\u9020\u66f4\u4e2a\u6027\u5316\u7684\u5065\u5eb7\u4f53\u9a8c\u4ee5\u5339\u914d\u8fd9\u79cd\u72ec\u7279\u6027\u3002Google Research\u6b63\u5728\u7814\u7a76\u5982\u4f55\u901a\u8fc7\u5fae\u8c03Gemini\u6a21\u578b\u7528\u4e8e\u4e2a\u4eba\u5065\u5eb7\u548c\u4fdd\u5065\uff0c\u4ee5\u89e3\u9501\u6d88\u8d39\u8005\u7684\u65b0\u6d1e\u89c1\u548c\u4e92\u52a8\u3002\u60f3\u8c61\u4e00\u4e0b\uff0c\u4e00\u4e2a\u4e0d\u4ec5\u80fd\u7406\u89e3\u60a8\u53ef\u7a7f\u6234\u8bbe\u5907\u4e2d\u7684\u5065\u5eb7\u6570\u636e\uff0c\u8fd8\u80fd\u4e3a\u60a8\u63d0\u4f9b\u4e2a\u6027\u5316\u6d1e\u89c1\u548c\u5efa\u8bae\u7684AI\uff0c\u5c31\u50cf\u4e00\u4e2a\u865a\u62df\u5065\u5eb7\u6559\u7ec3\u3002<\/p>\n\n\n\n

Google Research\u7684\u4e24\u7bc7\u65b0\u7814\u7a76\u8bba\u6587\u6df1\u5165\u63a2\u8ba8\u4e86\u8fd9\u4e00\u70b9\uff1a<\/p>\n\n\n\n

    \n
  1. \u300a\u8fc8\u5411\u4e2a\u4eba\u5065\u5eb7\u5927\u8bed\u8a00\u6a21\u578b (PH-LLM)<\/a>\u300b\uff1a\u901a\u8fc7\u5fae\u8c03Gemini\u6a21\u578b\uff0c\u521b\u5efa\u4e86PH-LLM\uff0c\u80fd\u591f\u751f\u6210\u4e0e\u4eba\u7c7b\u4e13\u5bb6\u76f8\u5ab2\u7f8e\u7684\u4e2a\u6027\u5316\u7761\u7720\u548c\u5065\u8eab\u5efa\u8bae\u3002<\/li>\n\n\n\n
  2. \u300a\u5229\u7528\u5927\u8bed\u8a00\u6a21\u578b\u4ee3\u7406\u5c06\u53ef\u7a7f\u6234\u6570\u636e\u8f6c\u5316\u4e3a\u4e2a\u4eba\u5065\u5eb7\u6d1e\u89c1<\/a>\u300b\uff1a\u8be5\u4ee3\u7406\u7cfb\u7edf\u5229\u7528\u4ee3\u7801\u751f\u6210\u548c\u4fe1\u606f\u68c0\u7d22\u6765\u5206\u6790\u60a8\u7684\u53ef\u7a7f\u6234\u6570\u636e\uff0c\u63d0\u4f9b\u8be6\u7ec6\u7684\u5065\u5eb7\u6a21\u5f0f\u6d1e\u89c1\u3002<\/li>\n<\/ol>\n\n\n\n

    \u8fd9\u4e9b\u8fdb\u5c55\u5c55\u793a\u4e86AI\u5982\u4f55\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u7406\u89e3\u5065\u5eb7\u6570\u636e\uff0c\u5e76\u505a\u51fa\u66f4\u660e\u667a\u7684\u5065\u5eb7\u51b3\u7b56\u3002\u671f\u5f85\u7ee7\u7eed\u7814\u7a76\u751f\u6210\u6027AI\u5982\u4f55\u5b9e\u73b0\u65b0\u7684\u5065\u5eb7\u4f53\u9a8c\u3002<\/p>\n\n\n\n

    \"\"
    Personal Health Large Language Model<\/a>, PH-LLM
    Google Research<\/a><\/figcaption><\/figure>\n\n\n\n
    \n\n\n\n

    \u8fc8\u5411\u4e2a\u4eba\u5065\u5eb7\u5927\u8bed\u8a00\u6a21\u578b (PH-LLM)<\/a>
    Towards a Personal Health Large Language Model<\/h3>\n\n\n\n

    \u4f5c\u8005<\/strong>: Justin Cosentino, Anastasiya Belyaeva, Xin Liu \u7b49<\/p>\n\n\n\n

    \u6458\u8981<\/strong>: \u672c\u6587\u4ecb\u7ecd\u4e86\u4e00\u79cd\u65b0\u7684\u6a21\u578b\u2014\u2014\u4e2a\u4eba\u5065\u5eb7\u5927\u8bed\u8a00\u6a21\u578b\uff08PH-LLM\uff09\uff0c\u8fd9\u662f\u5728Gemini\u6a21\u578b\u57fa\u7840\u4e0a\u5fae\u8c03\uff0c\u7528\u4e8e\u7406\u89e3\u548c\u63a8\u7406\u4e2a\u4eba\u5065\u5eb7\u6570\u636e\uff0c\u7279\u522b\u662f\u7761\u7720\u548c\u5065\u8eab\u65b9\u9762\u7684\u6570\u636e\u3002\u4e3a\u4e86\u7cfb\u7edf\u5730\u8bc4\u4f30PH-LLM\uff0c\u6211\u4eec\u521b\u5efa\u5e76\u6574\u7406\u4e86\u4e09\u4e2a\u65b0\u7684\u57fa\u51c6\u6570\u636e\u96c6\uff0c\u7528\u4e8e\u6d4b\u8bd5\u4ece\u7761\u7720\u6a21\u5f0f\u3001\u4f53\u529b\u6d3b\u52a8\u548c\u751f\u7406\u53cd\u5e94\u4e2d\u751f\u6210\u4e2a\u6027\u5316\u89c1\u89e3\u548c\u5efa\u8bae\u3001\u4e13\u4e1a\u9886\u57df\u77e5\u8bc6\u4ee5\u53ca\u81ea\u6211\u62a5\u544a\u7684\u7761\u7720\u8d28\u91cf\u7ed3\u679c\u7684\u9884\u6d4b\u3002\u901a\u8fc7\u5e7f\u6cdb\u7684\u4eba\u7c7b\u548c\u81ea\u52a8\u8bc4\u4f30\uff0c\u6211\u4eec\u89c2\u5bdf\u5230Gemini Ultra 1.0\u548cPH-LLM\u5728\u5065\u8eab\u65b9\u9762\u7684\u8868\u73b0\u4e0e\u4e13\u5bb6\u6ca1\u6709\u663e\u8457\u5dee\u5f02\uff0c\u800c\u5728\u7761\u7720\u65b9\u9762\u4e13\u5bb6\u4ecd\u7136\u66f4\u80dc\u4e00\u7b79\uff0c\u4f46PH-LLM\u901a\u8fc7\u5fae\u8c03\u5728\u4f7f\u7528\u76f8\u5173\u9886\u57df\u77e5\u8bc6\u548c\u4e2a\u6027\u5316\u4fe1\u606f\u65b9\u9762\u6709\u663e\u8457\u6539\u8fdb\u3002<\/p>\n\n\n\n

    \u4e00\u3001\u5f15\u8a00<\/h3>\n\n\n\n

    \u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u5728\u751f\u6210\u8bed\u8a00\u65b9\u9762\u975e\u5e38\u591a\u624d\u591a\u827a\uff0c\u5e76\u4e14\u5728\u5404\u4e2a\u9886\u57df\u8868\u73b0\u51fa\u8272\u3002\u7136\u800c\uff0c\u79fb\u52a8\u548c\u53ef\u7a7f\u6234\u8bbe\u5907\u63d0\u4f9b\u4e86\u4e30\u5bcc\u3001\u8fde\u7eed\u548c\u7eb5\u5411\u7684\u4e2a\u4eba\u5065\u5eb7\u76d1\u6d4b\u6570\u636e\uff0c\u8fd9\u4e9b\u6570\u636e\u901a\u5e38\u672a\u80fd\u6574\u5408\u5230\u4e34\u5e8a\u4efb\u52a1\u4e2d\u3002\u672c\u6587\u4ecb\u7ecd\u4e86\u4e2a\u4eba\u5065\u5eb7\u5927\u8bed\u8a00\u6a21\u578b\uff08PH-LLM\uff09\uff0c\u8fd9\u662f\u5728Gemini\u6a21\u578b\u57fa\u7840\u4e0a\u5fae\u8c03\uff0c\u7528\u4e8e\u5904\u7406\u7761\u7720\u548c\u5065\u8eab\u65b9\u9762\u7684\u6570\u503c\u65f6\u95f4\u5e8f\u5217\u4e2a\u4eba\u5065\u5eb7\u6570\u636e\u3002<\/p>\n\n\n\n

    \u4e8c\u3001\u7814\u7a76\u65b9\u6cd5<\/h3>\n\n\n\n
      \n
    1. \u57fa\u7840\u6a21\u578b\u9009\u62e9<\/strong>: \u5728\u591a\u4e2a\u5019\u9009\u6a21\u578b\u4e2d\uff0cGemini Ultra 1.0\u5728\u4e13\u4e1a\u8003\u8bd5\u95ee\u9898\u4e0a\u7684\u8868\u73b0\u6700\u4e3a\u51fa\u8272\uff0c\u56e0\u6b64\u9009\u62e9\u8be5\u6a21\u578b\u4f5c\u4e3a\u57fa\u7840\u6a21\u578b\u3002<\/li>\n\n\n\n
    2. \u5fae\u8c03PH-LLM<\/strong>: \u4f7f\u7528\u6765\u81ea\u7761\u7720\u548c\u5065\u8eab\u6570\u636e\u7684\u6848\u4f8b\u7814\u7a76\u6570\u636e\u5bf9Gemini Ultra 1.0\u8fdb\u884c\u5fae\u8c03\uff0c\u751f\u6210PH-LLM\u6a21\u578b\u3002\u4f7f\u75281:1\u7684\u7761\u7720\u548c\u5065\u8eab\u63d0\u793a-\u54cd\u5e94\u5bf9\u6df7\u5408\u7269\u8fdb\u884c\u6a21\u578b\u8bad\u7ec3\u3002<\/li>\n\n\n\n
    3. \u60a3\u8005\u62a5\u544a\u7ed3\u679c\u7684\u9884\u6d4b<\/strong>: \u4f7f\u7528\u591a\u5c42\u611f\u77e5\u5668\uff08MLP\uff09\u9002\u914d\u5668\u5c06\u53ef\u7a7f\u6234\u8bbe\u5907\u6570\u636e\u6295\u5f71\u5230PH-LLM\u7684\u6f5c\u5728\u6807\u8bb0\u7a7a\u95f4\uff0c\u901a\u8fc7\u8fd9\u4e00\u8fc7\u7a0b\u8bad\u7ec3PH-LLM\u9884\u6d4b\u81ea\u6211\u62a5\u544a\u7684\u7761\u7720\u8d28\u91cf\u7ed3\u679c\u3002<\/li>\n<\/ol>\n\n\n\n

      \u4e09\u3001\u6570\u636e\u96c6\u521b\u5efa<\/h3>\n\n\n\n
        \n
      1. \u6559\u7ec3\u5efa\u8bae<\/strong>: \u521b\u5efa\u4e86\u8be6\u7ec6\u7684\u6848\u4f8b\u7814\u7a76\u6570\u636e\u96c6\uff0c\u5305\u62ec\u4e2a\u4eba\u5065\u5eb7\u884c\u4e3a\u7684\u957f\u6587\u672c\u95ee\u9898\uff0c\u8fd9\u4e9b\u95ee\u9898\u6d89\u53ca\u7761\u7720\u548c\u5065\u8eab\u4e24\u5927\u9886\u57df\u3002\u6848\u4f8b\u7814\u7a76\u7531\u9886\u57df\u4e13\u5bb6\u8bbe\u8ba1\uff0c\u5305\u62ec\u53ef\u7a7f\u6234\u4f20\u611f\u5668\u6570\u636e\u548c\u4e13\u5bb6\u5206\u6790\u3002<\/li>\n\n\n\n
      2. \u4e13\u4e1a\u8003\u8bd5<\/strong>: \u6536\u96c6\u4e86\u7761\u7720\u533b\u5b66\u548c\u5065\u8eab\u9886\u57df\u7684\u591a\u4e2a\u9009\u62e9\u9898\uff0c\u7528\u4e8e\u8bc4\u4f30PH-LLM\u7684\u4e13\u4e1a\u77e5\u8bc6\u3002<\/li>\n\n\n\n
      3. \u60a3\u8005\u62a5\u544a\u7ed3\u679c<\/strong>: \u901a\u8fc7Google Digital Wellbeing Study\u6570\u636e\u96c6\uff0c\u4f7f\u752820\u4e2a\u53ef\u7a7f\u6234\u8bbe\u5907\u6d4b\u91cf\u503c\u548c16\u4e2a\u4e8c\u8fdb\u5236\u7ed3\u679c\uff0c\u8bc4\u4f30PH-LLM\u9884\u6d4b\u81ea\u6211\u62a5\u544a\u7ed3\u679c\u7684\u80fd\u529b\u3002<\/li>\n<\/ol>\n\n\n\n

        \u56db\u3001\u7ed3\u679c<\/h3>\n\n\n\n
          \n
        1. \u957f\u6587\u672c\u6848\u4f8b\u7814\u7a76<\/strong>: PH-LLM\u5728\u751f\u6210\u4e2a\u6027\u5316\u89c1\u89e3\u548c\u5efa\u8bae\u65b9\u9762\u63a5\u8fd1\u4e13\u5bb6\u8868\u73b0\uff0c\u7279\u522b\u662f\u5728\u5065\u8eab\u65b9\u9762\u3002\u5fae\u8c03PH-LLM\u5728\u4f7f\u7528\u76f8\u5173\u9886\u57df\u77e5\u8bc6\u548c\u4e2a\u6027\u5316\u4fe1\u606f\u65b9\u9762\u6709\u663e\u8457\u6539\u8fdb\u3002<\/li>\n\n\n\n
        2. \u4e13\u4e1a\u8003\u8bd5\u8868\u73b0<\/strong>: PH-LLM\u5728\u7761\u7720\u533b\u5b66\u8003\u8bd5\u4e2d\u6b63\u786e\u56de\u7b54\u4e8679%\u7684\u95ee\u9898\uff0c\u5728\u5065\u8eab\u8003\u8bd5\u4e2d\u6b63\u786e\u56de\u7b54\u4e8688%\u7684\u95ee\u9898\uff0c\u5747\u8d85\u8fc7\u4e86\u83b7\u5f97\u7ee7\u7eed\u533b\u5b66\u6559\u80b2\u5b66\u5206\u7684\u8981\u6c42\u3002<\/li>\n\n\n\n
        3. \u60a3\u8005\u62a5\u544a\u7ed3\u679c\u7684\u9884\u6d4b<\/strong>: PH-LLM\u4f7f\u7528\u9002\u914d\u5668\u663e\u8457\u4f18\u4e8e\u96f6\u6837\u672c\u548c\u5c11\u6837\u672c\u6587\u672c\u65b9\u6cd5\uff0c\u572812\u4e2a\u4e8c\u8fdb\u5236\u7279\u5f81\u4e2d\u8868\u73b0\u6700\u4f73\u3002<\/li>\n<\/ol>\n\n\n\n

          \u4e94\u3001\u8ba8\u8bba<\/h3>\n\n\n\n

          PH-LLM\u5728\u4e2a\u4eba\u5065\u5eb7\u9886\u57df\u5c55\u793a\u4e86\u5176\u5e7f\u6cdb\u7684\u77e5\u8bc6\u5e93\u548c\u80fd\u529b\uff0c\u80fd\u591f\u5728\u5b89\u5168\u5173\u952e\u7684\u4e2a\u4eba\u5065\u5eb7\u9886\u57df\u5b9e\u73b0\u663e\u8457\u6539\u8fdb\u3002\u8fdb\u4e00\u6b65\u7684\u53d1\u5c55\u548c\u8bc4\u4f30\u4ecd\u7136\u5fc5\u8981\uff0c\u4f46\u8fd9\u4e9b\u7ed3\u679c\u8868\u660e\u5c06\u751f\u7406\u6570\u636e\u60c5\u5883\u5316\u4ee5\u5e94\u7528\u4e8e\u4e2a\u4eba\u5065\u5eb7\u5e94\u7528\u5177\u6709\u5de8\u5927\u6f5c\u529b\u3002<\/p>\n\n\n\n

          \u516d\u3001\u7ed3\u8bba<\/h3>\n\n\n\n

          PH-LLM\u901a\u8fc7\u5fae\u8c03Gemini\u6a21\u578b\uff0c\u5b9e\u73b0\u4e86\u5bf9\u4e2a\u4eba\u5065\u5eb7\u6570\u636e\u7684\u6df1\u5ea6\u7406\u89e3\u548c\u4e2a\u6027\u5316\u5efa\u8bae\u751f\u6210\uff0c\u4e3a\u4e2a\u4eba\u5065\u5eb7\u7ba1\u7406\u63d0\u4f9b\u4e86\u65b0\u7684\u5de5\u5177\u548c\u65b9\u6cd5\u3002\u8fd9\u4e00\u7814\u7a76\u4e3a\u672a\u6765\u7684\u5927\u8bed\u8a00\u6a21\u578b\u5728\u5065\u5eb7\u9886\u57df\u7684\u5e94\u7528\u5960\u5b9a\u4e86\u57fa\u7840\u3002<\/p>\n\n\n\n

          \n\n\n\n

          \u5229\u7528\u5927\u8bed\u8a00\u6a21\u578b\u4ee3\u7406\u5c06\u53ef\u7a7f\u6234\u6570\u636e\u8f6c\u5316\u4e3a\u4e2a\u4eba\u5065\u5eb7\u6d1e\u89c1<\/a>
          Transforming Wearable Data into Health Insights using Large Language Model Agents<\/h3>\n\n\n\n

          \u4f5c\u8005<\/strong>: Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei, Geza Kovacs \u7b49<\/p>\n\n\n\n

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              \n
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              \u56db\u3001\u7ed3\u679c<\/h3>\n\n\n\n
                \n
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