{"id":889,"date":"2025-09-01T09:08:28","date_gmt":"2025-09-01T01:08:28","guid":{"rendered":"http:\/\/www.applicationsofllm.com\/?p=889"},"modified":"2025-09-17T09:10:36","modified_gmt":"2025-09-17T01:10:36","slug":"%e4%bb%8e%e5%b0%91%e6%a0%b7%e6%9c%ac%e5%88%b0%e5%8d%83%e6%a0%b7%e6%9c%ac%ef%bc%81machinelearninglm%e7%bb%99%e5%a4%a7%e6%a8%a1%e5%9e%8b%e4%b8%8a%e4%b8%8b%e6%96%87%e5%ad%a6%e4%b9%a0%e8%a3%85%e4%b8%8a","status":"publish","type":"post","link":"http:\/\/www.applicationsofllm.com\/index.php\/2025\/09\/01\/%e4%bb%8e%e5%b0%91%e6%a0%b7%e6%9c%ac%e5%88%b0%e5%8d%83%e6%a0%b7%e6%9c%ac%ef%bc%81machinelearninglm%e7%bb%99%e5%a4%a7%e6%a8%a1%e5%9e%8b%e4%b8%8a%e4%b8%8b%e6%96%87%e5%ad%a6%e4%b9%a0%e8%a3%85%e4%b8%8a\/","title":{"rendered":"\u4ece\u5c11\u6837\u672c\u5230\u5343\u6837\u672c\uff01MachineLearningLM\u7ed9\u5927\u6a21\u578b\u4e0a\u4e0b\u6587\u5b66\u4e60\u88c5\u4e0a\u300c\u673a\u5668\u5b66\u4e60\u5f15\u64ce\u300d"},"content":{"rendered":"\n<p>\u5c3d\u7ba1\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u62e5\u6709\u5e7f\u6cdb\u7684\u4e16\u754c\u77e5\u8bc6\u548c\u5f3a\u5927\u7684\u63a8\u7406\u80fd\u529b\uff0c\u88ab\u5e7f\u6cdb\u89c6\u4e3a\u4f18\u79c0\u7684\u5c11\u6837\u672c\u5b66\u4e60\u8005\uff0c\u4f46\u5728\u5904\u7406\u9700\u8981\u5927\u91cf\u793a\u4f8b\u7684\u4e0a\u4e0b\u6587\u5b66\u4e60\uff08ICL\uff09\u65f6\u4ecd\u5b58\u5728\u660e\u663e\u5c40\u9650\u3002<\/p>\n\n\n\n<p>\u5df2\u6709\u5de5\u4f5c\u8868\u660e\uff0c\u5373\u4f7f\u63d0\u4f9b\u591a\u8fbe\u4e0a\u767e\u751a\u81f3\u4e0a\u5343\u6761\u793a\u4f8b\uff0cLLM \u4ecd\u96be\u4ee5\u4ece\u4e2d\u6709\u6548\u5b66\u4e60\u89c4\u5f8b\uff0c\u5176\u8868\u73b0\u5f80\u5f80\u5f88\u5feb\u8fdb\u5165\u5e73\u53f0\u671f\uff0c\u751a\u81f3\u5bf9\u793a\u4f8b\u7684\u987a\u5e8f\u3001\u6807\u7b7e\u504f\u5dee\u7b49\u8f83\u4e3a\u654f\u611f\u3002\u5728\u5229\u7528\u4e0a\u4e0b\u6587\u5b66\u4e60\u89e3\u51b3\u65b0\u4efb\u52a1\u65f6\uff0cLLM \u5f80\u5f80\u66f4\u4f9d\u8d56\u4e8e\u81ea\u8eab\u7684\u5f3a\u5148\u9a8c\u4ee5\u53ca\u793a\u4f8b\u7684\u8868\u9762\u7279\u5f81\uff0c\u800c\u96be\u4ee5\u771f\u6b63\u6316\u6398\u51fa\u793a\u4f8b\u4e2d\u6f5c\u5728\u7684\u56e0\u679c\u673a\u5236\u6216\u7edf\u8ba1\u4f9d\u8d56\u3002<\/p>\n\n\n\n<p><strong>\u8fd9\u9879\u540d\u4e3a MachineLearningLM \u7684\u65b0\u7814\u7a76\u7a81\u7834\u4e86\u8fd9\u4e00\u74f6\u9888\u3002<\/strong>\u8be5\u7814\u7a76\u63d0\u51fa\u4e86\u4e00\u79cd\u8f7b\u91cf\u4e14\u53ef\u79fb\u690d\u7684\u300c\u7ee7\u7eed\u9884\u8bad\u7ec3\u300d\u6846\u67b6\uff0c\u65e0\u9700\u4e0b\u6e38\u5fae\u8c03\u5373\u53ef\u76f4\u63a5\u901a\u8fc7\u4e0a\u4e0b\u6587\u5b66\u4e60\u4e0a\u5343\u6761\u793a\u4f8b\uff0c\u5728\u91d1\u878d\u3001\u5065\u5eb7\u3001\u751f\u7269\u4fe1\u606f\u3001\u7269\u7406\u7b49\u7b49\u591a\u4e2a\u9886\u57df\u7684\u4e8c\u5206\u7c7b \/ \u591a\u5206\u7c7b\u4efb\u52a1\u4e2d\u7684\u51c6\u786e\u7387\u663e\u8457\u8d85\u8d8a\u57fa\u51c6\u6a21\u578b\uff08Qwen-2.5-7B-Instruct\uff09\u4ee5\u53ca\u6700\u65b0\u53d1\u5e03\u7684 GPT-5-mini\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"367\" src=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-206-1024x367.jpg\" alt=\"\" class=\"wp-image-890\" srcset=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-206-1024x367.jpg 1024w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-206-300x107.jpg 300w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-206-768x275.jpg 768w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-206.jpg 1108w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>\u76f8\u6bd4\u4e8e\u5df2\u6709\u7684\u7528\u4e8e\u8868\u683c\u6570\u636e\u7684\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\uff0c<strong>MachineLearningLM \u51e0\u4e4e\u5b8c\u5168\u4fdd\u7559\u4e86 LLM \u901a\u7528\u80fd\u529b\uff0c\u8fd9\u610f\u5473\u7740\u5b83\u53ef\u4ee5\u65e0\u7f1d\u96c6\u6210\u5230\u66f4\u590d\u6742\u7684\u5bf9\u8bdd\u5de5\u4f5c\u6d41\u4e2d\u3002<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"339\" src=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-209-1024x339.jpg\" alt=\"\" class=\"wp-image-893\" srcset=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-209-1024x339.jpg 1024w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-209-300x99.jpg 300w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-209-768x254.jpg 768w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-209.jpg 1108w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"294\" src=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-207-1024x294.jpg\" alt=\"\" class=\"wp-image-891\" srcset=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-207-1024x294.jpg 1024w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-207-300x86.jpg 300w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-207-768x221.jpg 768w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-207.jpg 1107w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u8bba\u6587\u94fe\u63a5: https:\/\/arxiv.org\/abs\/2509.06806<\/li>\n\n\n\n<li>\u6a21\u578b\u548c\u6570\u636e\u96c6: https:\/\/huggingface.co\/MachineLearningLM<\/li>\n\n\n\n<li>\u4ee3\u7801: https:\/\/github.com\/HaoAreYuDong\/MachineLearningLM<\/li>\n<\/ul>\n\n\n\n<p><strong>\u6838\u5fc3\u521b\u65b0\u4e00\uff1a\u767e\u4e07\u7ea7\u5408\u6210\u4efb\u52a1\u300c\u6388\u4eba\u4ee5\u6e14\u300d<\/strong><\/p>\n\n\n\n<p>\u7814\u7a76\u56e2\u961f\u65e8\u5728\u8d4b\u4e88 LLM \u4e00\u79cd\u300c\u4e3e\u4e00\u53cd\u4e09\u300d\u7684\u5143\u80fd\u529b \u2014\u2014 \u4e0d\u4f9d\u8d56\u5bf9\u771f\u5b9e\u4efb\u52a1\u6570\u636e\u7684\u673a\u68b0\u8bb0\u5fc6\uff0c\u800c\u662f\u901a\u8fc7\u6d77\u91cf\u4e14\u591a\u6837\u5316\u7684\u5408\u6210\u4efb\u52a1\uff0c\u4ece\u6839\u672c\u4e0a\u8bad\u7ec3\u6a21\u578b\u5728\u5927\u91cf\u4e0a\u4e0b\u6587\u793a\u4f8b\u4e2d\u6316\u6398\u89c4\u5f8b\u5e76\u8fdb\u884c\u9884\u6d4b\u7684\u80fd\u529b\u3002<\/p>\n\n\n\n<p>\u4f20\u7edf\u7684\u6307\u4ee4\u5fae\u8c03\u65b9\u6cd5\u901a\u5e38\u57fa\u4e8e\u6709\u9650\u89c4\u6a21\uff08\u7ea6\u4e3a\u5343\u6570\u91cf\u7ea7\uff09\u7684\u771f\u5b9e\u4efb\u52a1\u6570\u636e\uff0c\u8fd9\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u9650\u5236\u4e86\u6a21\u578b\u5411\u65b0\u4efb\u52a1\u7684\u6cdb\u5316\u80fd\u529b\u3002\u4e0e\u4e4b\u76f8\u6bd4\uff0cMachineLearningLM \u6784\u5efa\u4e86\u4e00\u4e2a\u8d85\u8fc7 300 \u4e07\u5408\u6210\u4efb\u52a1\u7684\u5927\u89c4\u6a21\u9884\u8bad\u7ec3\u8bed\u6599\u5e93\u3002<\/p>\n\n\n\n<p>\u4efb\u52a1\u751f\u6210\u5668\u57fa\u4e8e\u7ed3\u6784\u56e0\u679c\u6a21\u578b\uff08Structural Causal Model, SCM\uff09\u6765\u91c7\u6837\u751f\u6210\u4e8c\u5206\u7c7b\u53ca\u591a\u5206\u7c7b\u4efb\u52a1\u3002SCM \u901a\u8fc7\u6709\u5411\u65e0\u73af\u56fe\uff08DAG\uff09\u548c\u7ed3\u6784\u65b9\u7a0b\uff08\u91c7\u7528\u795e\u7ecf\u7f51\u7edc\u4e0e\u6811\u6a21\u578b\u5b9e\u73b0\uff09\u660e\u786e\u5b9a\u4e49\u53d8\u91cf\u95f4\u7684\u56e0\u679c\u5173\u7cfb\uff0c\u80fd\u591f\u7cbe\u786e\u63a7\u5236\u7279\u5f81\u7684\u8fb9\u9645\u5206\u5e03\u3001\u7c7b\u578b\uff08\u5982\u6570\u503c\u578b\u6216\u7c7b\u522b\u578b\uff09\u4ee5\u53ca\u6807\u7b7e\u751f\u6210\u673a\u5236\u3002<\/p>\n\n\n\n<p>\u8be5\u65b9\u6cd5\u786e\u4fdd\u9884\u8bad\u7ec3\u6570\u636e\u4e0e\u4e0b\u6e38\u771f\u5b9e\u8bc4\u4f30\u96c6\u6ca1\u6709\u4efb\u4f55\u91cd\u53e0\uff0c\u4ece\u800c\u4fdd\u8bc1\u8bc4\u4f30\u8fc7\u7a0b\u5bf9\u6a21\u578b\u6cdb\u5316\u80fd\u529b\u7684\u68c0\u9a8c\u5177\u5907\u5145\u5206\u516c\u5e73\u6027\u3002\u540c\u65f6\uff0c\u901a\u8fc7\u63a7\u5236\u793a\u4f8b\u6570\u91cf\u4ece\u6570\u4e2a\u5230 1024 \u4e2a\u4e0d\u7b49\uff0c\u8be5\u673a\u5236\u80fd\u591f\u4e13\u95e8\u8bad\u7ec3\u6a21\u578b\u5904\u7406\u300c\u591a\u793a\u4f8b\u300d\u573a\u666f\u7684\u63a8\u7406\u80fd\u529b\u3002<\/p>\n\n\n\n<p><strong>\u6838\u5fc3\u521b\u65b0\u4e8c\uff1a\u968f\u673a\u68ee\u6797\u6a21\u578b\u300c\u5faa\u5faa\u5584\u8bf1\u300d<\/strong><\/p>\n\n\n\n<p>\u5728\u6d77\u91cf\u5408\u6210\u4efb\u52a1\u4e0a\u76f4\u63a5\u8bad\u7ec3\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u5bb9\u6613\u56e0\u4efb\u52a1\u8d28\u91cf\u4e0d\u4e00\u81f4 \u2014\u2014 \u4f8b\u5982\u5b58\u5728\u4fe1\u53f7\u5fae\u5f31\u6216\u7c7b\u522b\u6781\u5ea6\u4e0d\u5e73\u8861\u7b49\u60c5\u51b5 \u2014\u2014 \u800c\u5bfc\u81f4\u8bad\u7ec3\u5d29\u6e83\u6216\u9677\u5165\u5c40\u90e8\u6700\u4f18\u3002\u4e3a\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\uff0c\u672c\u7814\u7a76\u5f15\u5165\u968f\u673a\u68ee\u6797\uff08Random Forest\uff09\u6a21\u578b\uff0c\u5229\u7528\u5176\u5f3a\u5927\u4e14\u7a33\u5065\u7684\u5efa\u6a21\u80fd\u529b\uff0c\u8bbe\u8ba1\u4e86\u5982\u4e0b\u4e24\u7ea7\u8fc7\u6ee4\u673a\u5236\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u6837\u672c\u7ea7\u5171\u8bc6\u8fc7\u6ee4\uff08\u70ed\u8eab\u8bad\u7ec3\u9636\u6bb5\uff09<\/strong>\uff1a\u5728\u70ed\u8eab\u8bad\u7ec3\u4e2d\uff0c\u4e3a\u6bcf\u4e2a\u5408\u6210\u4efb\u52a1\u8bad\u7ec3\u4e00\u4e2a\u968f\u673a\u68ee\u6797\u6a21\u578b\uff0c\u5e76\u5f15\u5bfc LLM \u5b66\u4e60\u6a21\u4eff\u5176\u9884\u6d4b\u884c\u4e3a\u3002\u5177\u4f53\u800c\u8a00\uff0c\u4ec5\u4fdd\u7559\u968f\u673a\u68ee\u6797\u9884\u6d4b\u7ed3\u679c\u4e0e\u771f\u5b9e\u6807\u7b7e\u4e00\u81f4\u7684\u90a3\u4e9b\u6837\u672c\u7528\u4e8e LLM \u7684\u8bad\u7ec3\u3002\u8be5\u65b9\u6cd5\u901a\u8fc7\u63d0\u4f9b\u6e05\u6670\u4e14\u9ad8\u7f6e\u4fe1\u5ea6\u7684\u76d1\u7763\u4fe1\u53f7\uff0c\u4f7f LLM \u521d\u6b65\u5efa\u7acb\u8d77\u51c6\u786e\u7684\u4e0a\u4e0b\u6587\u5efa\u6a21\u80fd\u529b\uff0c\u5c24\u5176\u662f\u6570\u503c\u5efa\u6a21\u80fd\u529b\uff0c\u4e3a\u540e\u7eed\u8fc7\u6e21\u5230\u81ea\u4e3b\u4e0a\u4e0b\u6587\u5b66\u4e60\u5960\u5b9a\u57fa\u7840\u3002<\/li>\n\n\n\n<li><strong>\u4efb\u52a1\u7ea7\u8fc7\u6ee4\uff08\u5168\u7a0b\u8bad\u7ec3\u9636\u6bb5\uff09<\/strong>\uff1a\u5728\u6574\u4e2a\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u9664\u4e3a\u6bcf\u4e2a\u4efb\u52a1\u6784\u5efa\u968f\u673a\u68ee\u6797\u6a21\u578b\u5916\uff0c\u8fd8\u5f15\u5165\u4fdd\u5b88\u968f\u673a\u57fa\u7ebf\uff08\u5982\u968f\u673a\u731c\u6d4b\u6216\u574d\u584c\u5230\u591a\u6570\u7c7b\u7684\u9884\u6d4b\u65b9\u6cd5\uff09\uff0c\u4ee5\u5254\u9664\u90a3\u4e9b\u968f\u673a\u68ee\u6797\u8868\u73b0\u672a\u663e\u8457\u4f18\u4e8e\u57fa\u7ebf\u7684\u65e0\u6548\u4efb\u52a1\u3002\u8bc4\u4f30\u6307\u6807\u5305\u62ec\u673a\u4f1a\u6821\u6b63\u4e00\u81f4\u6027\u3001\u5931\u8861\u9c81\u68d2\u51c6\u786e\u7387\u3001\u5b8f\u5e73\u5747\u51c6\u786e\u7387\u4ee5\u53ca\u907f\u514d\u9884\u6d4b\u574d\u584c\u7b49\u6307\u6807\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u4e3a\u4f55\u9009\u62e9\u968f\u673a\u68ee\u6797\uff1f\u9664\u4e86\u5f3a\u5927\u4e14\u7a33\u5065\u7684\u5efa\u6a21\u80fd\u529b\uff0c\u968f\u673a\u68ee\u6797\u5177\u6709\u9ad8\u5ea6\u900f\u660e\u7684\u51b3\u7b56\u8fc7\u7a0b\uff0c\u53ef\u5206\u89e3\u4e3a\u6e05\u6670\u7684\u89c4\u5219\u8def\u5f84\u4e0e\u7279\u5f81\u91cd\u8981\u6027\u8bc4\u4f30\uff0c\u8fd9\u79cd\u53ef\u89e3\u91ca\u6027\u4e0e LLM \u7684\u601d\u7ef4\u94fe\uff08Chain-of-Thought, CoT\uff09\u63a8\u7406\u6a21\u5f0f\u5929\u7136\u5951\u5408\uff0c\u6709\u52a9\u4e8e\u540e\u7eed\u63a8\u8fdb\u601d\u7ef4\u94fe\u9884\u6d4b\u53ca\u89e3\u91ca\u6027\u9884\u6d4b\u4efb\u52a1\u3002<\/p>\n\n\n\n<p>\u540c\u65f6\uff0c\u968f\u673a\u68ee\u6797\u80fd\u591f\u63d0\u4f9b\u9884\u6d4b\u7f6e\u4fe1\u5ea6\uff0c\u4e3a\u8fdb\u4e00\u6b65\u51cf\u5c11 LLM \u5e7b\u89c9\u95ee\u9898\u5f15\u5165\u7f6e\u4fe1\u5ea6\u673a\u5236\u63d0\u4f9b\u4e86\u53ef\u80fd\u3002<\/p>\n\n\n\n<p><strong>\u6838\u5fc3\u521b\u65b0\u4e09\uff1a\u9ad8\u6548\u4e0a\u4e0b\u6587\u793a\u4f8b\u7f16\u7801\u300c\u591a\u7ef4\u6269\u5bb9\u300d<\/strong><\/p>\n\n\n\n<p>\u5728\u5927\u6a21\u578b\u65f6\u4ee3\uff0c\u5982\u4f55\u9ad8\u6548\u5730\u5728\u4e0a\u4e0b\u6587\u5b66\u4e60\u4e2d\u5904\u7406\u6d77\u91cf\u8868\u683c\u6570\u636e\uff0c\u662f\u4e00\u9879\u91cd\u8981\u6311\u6218\u3002\u4f20\u7edf\u7684\u300c\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\u300d\u65b9\u5f0f\uff08\u4f8b\u5982\uff1a\u300c\u6536\u5165\u662f 29370\uff0c\u804c\u4e1a\u662f\u535a\u58eb\uff0c\u5e74\u589e\u957f\u7387\u662f &#8211; 12.34% \u2192 \u6807\u7b7e\uff1a1\u300d\uff09\uff0c\u5360\u7528 token \u591a\u3001\u8ba1\u7b97\u5f00\u9500\u5927\uff0c\u4e25\u91cd\u9650\u5236\u4e86\u5b9e\u9645\u5e94\u7528\u4e2d\u53ef\u652f\u6301\u7684\u793a\u4f8b\u6570\u91cf\uff1b\u6570\u503c\u578b\u7279\u5f81\u7ecf\u5206\u8bcd\u5668\u5904\u7406\u65f6\uff0c\u4e00\u4e2a\u5c0f\u6570\u53ef\u80fd\u88ab\u62c6\u6210\u591a\u4e2a token\uff0c\u65e2\u6d6a\u8d39\u957f\u5ea6\u53c8\u53ef\u80fd\u5bfc\u81f4\u6570\u503c\u6bd4\u8f83\u9519\u8bef\uff0c\u5982\u6a21\u578b\u5bb9\u6613\u8bef\u8ba4\u4e3a\u300c1.11\u300d\uff081|.|11\uff09\u6bd4\u300c1.9\u300d\uff081|.|9\uff09\u5927\u3002<\/p>\n\n\n\n<p>\u4e3a\u6b64\uff0c\u4f5c\u8005\u63d0\u51fa\u4e86\u4e09\u9879\u6838\u5fc3\u4f18\u5316\u7b56\u7565\uff0c\u663e\u8457\u63d0\u5347\u4e86\u4e0a\u4e0b\u6587\u5b66\u4e60\u7684\u6570\u636e\u5bb9\u7eb3\u80fd\u529b\u4e0e\u63a8\u7406\u6548\u7387\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u544a\u522b\u300c\u5c0f\u4f5c\u6587\u300d\uff0c\u6837\u672c\u7528\u8868\u683c\u6765\u7ec4\u7ec7\uff1a<\/strong>\u00a0SpreadsheetLLM \u7b49\u7814\u7a76\u5df2\u5e7f\u6cdb\u8bc1\u660e\uff0cLLM \u80fd\u5f88\u597d\u5730\u7406\u89e3\u7ed3\u6784\u5316\u8868\u683c\uff0c\u56e0\u6b64\u4f5c\u8005\u653e\u5f03\u76f8\u5173\u5de5\u4f5c\u5c06\u7ed3\u6784\u5316\u6570\u636e\u5c55\u5f00\u6210\u5197\u957f\u81ea\u7136\u8bed\u53e5\u7684\u505a\u6cd5\uff0c\u8f6c\u800c\u91c7\u7528\u7d27\u51d1\u7684\u8868\u683c\u7f16\u7801\u683c\u5f0f\u3002<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"372\" src=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-215-1024x372.jpg\" alt=\"\" class=\"wp-image-899\" srcset=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-215-1024x372.jpg 1024w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-215-300x109.jpg 300w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-215-768x279.jpg 768w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-215.jpg 1108w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u628a\u6570\u5b57\u300c\u6253\u5305\u300d\u6210\u6574\u6570\uff0c\u544a\u522b token \u788e\u7247\u5316\uff1a<\/strong>\u5148\u9075\u5faa\u673a\u5668\u5b66\u4e60\u5de5\u7a0b\u7684\u5e38\u89c1\u64cd\u4f5c\uff0c\u5c06\u6240\u6709\u6570\u503c\u57fa\u4e8e\u8bad\u7ec3\u96c6\u6570\u636e\u5206\u5e03\u9010\u5217\u8fdb\u884c z-score \u6807\u51c6\u5316\uff1b\u7136\u540e\u5c06 z-norm \u4e0b \u00b14.17\uff08\u7edd\u5927\u591a\u6570\u60c5\u51b5\uff09\u7684\u6d6e\u70b9\u6570\u533a\u95f4\u6574\u4f53\u7ebf\u6027\u6620\u5c04\u5230 [0, 999] \u7684\u6574\u6570\u533a\u95f4\u3002\u8fd9\u6837\uff0c\u6bcf\u4e2a\u6570\u503c\u5728 GPT \u548c LLaMA 3 \u7684\u8bcd\u8868\u4e2d\u4ec5\u9700 1 \u4e2a token \u8868\u793a\uff08Qwen \u5206\u8bcd\u5668\u4e5f\u4ec5\u9700 1 \u5230 3 \u4e2a token\uff09\uff0c\u65e2\u8282\u7701\u7a7a\u95f4\uff0c\u8fd8\u907f\u514d\u4e86\u5c0f\u6570\u70b9\u548c\u6b63\u8d1f\u53f7\u5355\u72ec\u5207\u8bcd\u5e26\u6765\u7684\u6570\u503c\u7406\u89e3\u9519\u8bef\u3002\u8be5\u6d41\u7a0b\u53ea\u662f\u6539\u8fdb\u4e86\u4f20\u7edf\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u6570\u503c\u6807\u51c6\u5316\uff0c\u800c\u6ca1\u6709\u6539\u53d8 LLM \u539f\u751f\u5206\u8bcd\u5668\uff0c\u56e0\u6b64\u6a21\u578b\u7684\u6570\u503c\u63a8\u7406\u80fd\u529b\u53ef\u4ee5\u5168\u90e8\u7ee7\u627f\u3002<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"359\" src=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-216-1024x359.jpg\" alt=\"\" class=\"wp-image-900\" srcset=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-216-1024x359.jpg 1024w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-216-300x105.jpg 300w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-216-768x269.jpg 768w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-216.jpg 1107w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u63a8\u7406\u4e5f\u8981\u300c\u56e2\u8d2d\u300d\uff1a<\/strong>\u5e8f\u5217\u7ea7\u6279\u91cf\u9884\u6d4b\u2014\u2014\u4f20\u7edf\u4e0a\u4e0b\u6587\u5b66\u4e60\u4e00\u6b21\u53ea\u5904\u7406\u4e00\u4e2a\u67e5\u8be2\uff0c\u5728\u591a\u6837\u672c\u5b66\u4e60\u65f6\u6548\u7387\u6781\u4f4e\u3002\u4f5c\u8005\u5c06\u591a\u4e2a\u67e5\u8be2\uff08\u5982 50 \u6761\uff09\u62fc\u6210\u4e00\u6761\u5e8f\u5217\uff0c\u7edf\u4e00\u524d\u5411\u63a8\u7406\uff0c\u4e00\u6b21\u6027\u8f93\u51fa\u6240\u6709\u9884\u6d4b\u7ed3\u679c\u3002\u8fd9\u4e0d\u4ec5\u5927\u5e45\u63d0\u5347\u63a8\u7406\u901f\u5ea6\uff0c\u8fd8\u80fd\u5728\u8bad\u7ec3\u9636\u6bb5\u63d0\u9ad8\u81ea\u56de\u5f52\u7a33\u5b9a\u6027\u3002<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"116\" src=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-210-1024x116.jpg\" alt=\"\" class=\"wp-image-894\" srcset=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-210-1024x116.jpg 1024w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-210-300x34.jpg 300w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-210-768x87.jpg 768w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-210.jpg 1108w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><strong>\u60ca\u8273\u6548\u679c\uff1a\u591a\u9879\u80fd\u529b\u7a81\u7834<\/strong><\/p>\n\n\n\n<p>MachineLearningLM \u7684\u7ee7\u7eed\u9884\u8bad\u7ec3\u65b9\u6848\u65e0\u9700\u6539\u53d8\u6a21\u578b\u67b6\u6784\u6216\u5206\u8bcd\u5668\uff0c\u53ea\u4f7f\u7528\u4e86 Qwen2.5-7B \u57fa\u5ea7\u6a21\u578b\u548c\u4f4e\u79e9\u9002\u914d\uff08LoRA rank=8\uff09\u8fd9\u79cd\u8f7b\u91cf\u7ea7\u914d\u7f6e\uff0cMachineLearningLM \u5c55\u73b0\u51fa\u4e86\u524d\u6240\u672a\u6709\u7684\u4e0a\u4e0b\u6587\u6837\u672c\u5229\u7528\u80fd\u529b\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u300c\u5343\u793a\u4f8b\u300d\u4e0a\u4e0b\u6587\u5b66\u4e60\uff1a<\/strong>\u6a21\u578b\u6027\u80fd\u968f\u7740\u63d0\u4f9b\u7684\u793a\u4f8b\u6570\u91cf\u589e\u52a0\u800c\u6301\u7eed\u7a33\u5b9a\u63d0\u5347\uff0c\u4ece 8 \u6761\u793a\u4f8b\u5230 1024 \u6761\u793a\u4f8b\uff0c\u51c6\u786e\u7387\u5355\u8c03\u589e\u957f\u3002\u8fd9\u6837\u7684\u4e0a\u4e0b\u6587\u6837\u672c\u6548\u7387\u662f\u5df2\u6709 LLM \u90fd\u96be\u4ee5\u505a\u5230\u7684\u3002\u00a0<\/li>\n\n\n\n<li><strong>\u8fdc\u8d85 GPT-5-mini \u7b49\u5f3a\u5927\u57fa\u51c6\u6a21\u578b\uff1a<\/strong>\u5728\u91d1\u878d\u3001\u751f\u7269\u4fe1\u606f\u3001\u7269\u7406\u4fe1\u53f7\u548c\u533b\u7597\u5065\u5eb7\u7b49\u9886\u57df\u7684\u8868\u683c\u5206\u7c7b\u4efb\u52a1\u4e0a\uff0c\u5176\u7eaf\u4e0a\u4e0b\u6587\u5b66\u4e60\u7684\u51c6\u786e\u7387\u5e73\u5747\u8d85\u8d8a GPT-5-mini \u7b49\u5f3a\u5927\u57fa\u51c6\u6a21\u578b\u7ea6 13 \u5230 16 \u4e2a\u767e\u5206\u70b9\u3002<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"384\" src=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-211-1024x384.jpg\" alt=\"\" class=\"wp-image-895\" srcset=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-211-1024x384.jpg 1024w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-211-300x112.jpg 300w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-211-768x288.jpg 768w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-211.jpg 1107w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u5728\u65e0\u9700\u4efb\u4f55\u4efb\u52a1\u7279\u5b9a\u8bad\u7ec3\u7684\u60c5\u51b5\u4e0b\uff0c\u5176\u51c6\u786e\u7387\u5df2\u80fd\u8fbe\u5230\u4e0e\u9700\u8981\u4efb\u52a1\u7ea7\u53c2\u6570\u66f4\u65b0\u7684\u968f\u673a\u68ee\u6797\u6a21\u578b\u76f8\u5dee\u65e0\u51e0\u7684\u6c34\u5e73<\/strong>\uff08\u5e73\u5747\u76f8\u5bf9\u5dee\u8ddd\u5728 2% \u4ee5\u5185\uff09\uff0c\u5e76\u663e\u8457\u4f18\u4e8e K \u8fd1\u90bb\uff08kNN\uff09\u7b97\u6cd5\u3002<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"284\" src=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-212-1024x284.jpg\" alt=\"\" class=\"wp-image-896\" srcset=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-212-1024x284.jpg 1024w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-212-300x83.jpg 300w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-212-768x213.jpg 768w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-212.jpg 1107w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u901a\u7528\u80fd\u529b\u65e0\u635f\uff1a<\/strong>\u6700\u5173\u952e\u7684\u662f\uff0c\u6ce8\u5165 ML \u80fd\u529b\u540e\uff0c\u6a21\u578b\u539f\u6709\u7684\u5bf9\u8bdd\u3001\u77e5\u8bc6\u548c\u63a8\u7406\u80fd\u529b\u51e0\u4e4e\u5b8c\u597d\u65e0\u635f\u3002\u5728 MMLU \u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0c\u5176\u96f6\u6837\u672c\u51c6\u786e\u7387\u8fbe 73.2%\uff0c50 \u6837\u672c\u8bbe\u7f6e\u4e0b\u8fbe 75.4%\uff0c\u4e0e\u57fa\u51c6\u901a\u7528 LLM\uff08Qwen-2.5-7B-Instruct\uff09\u6301\u5e73\uff0c\u751a\u81f3\u5728\u7279\u5b9a\u9886\u57df\uff08\u5982\u7edf\u8ba1\u548c\u7269\u7406\uff09\u6709\u4e00\u5b9a\u63d0\u5347\uff0c\u8fd9\u610f\u5473\u7740\u5b83\u53ef\u4ee5\u65e0\u7f1d\u96c6\u6210\u5230\u66f4\u590d\u6742\u7684\u5bf9\u8bdd\u5de5\u4f5c\u6d41\u4e2d\u3002<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"145\" src=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-213-1024x145.jpg\" alt=\"\" class=\"wp-image-897\" srcset=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-213-1024x145.jpg 1024w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-213-300x43.jpg 300w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-213-768x109.jpg 768w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-213.jpg 1107w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"290\" src=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-214-1024x290.jpg\" alt=\"\" class=\"wp-image-898\" srcset=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-214-1024x290.jpg 1024w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-214-300x85.jpg 300w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-214-768x217.jpg 768w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-214.jpg 1107w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u5b9e\u8bc1\u7814\u7a76\u8868\u660e\uff0c<strong>MachineLearningLM 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\u6709\u671b\u5728\u91d1\u878d\u3001\u533b\u7597\u5065\u5eb7\u4e0e\u79d1\u5b66\u8ba1\u7b97\u7b49\u5e7f\u6cdb\u573a\u666f\u4e2d\u6269\u5c55\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u5b9e\u9645\u5e94\u7528\u8fb9\u754c\u3002<\/p>\n\n\n\n<p><strong>\u672a\u6765\u5c55\u671b<\/strong><\/p>\n\n\n\n<p>MachineLearningLM \u4e3a\u672a\u6765\u7814\u7a76\u5f00\u8f9f\u4e86\u591a\u4e2a\u5145\u6ee1\u6f5c\u529b\u7684\u65b9\u5411\u3002\u4ee5\u4e0b\u662f\u8bba\u6587\u91cc\u5217\u51fa\u7684\u51e0\u4e2a\u91cd\u70b9\u65b9\u5411\uff1a<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>\u8d85\u8d8a\u6587\u672c\u4e0e\u6570\u5b57<\/strong>\uff1a\u5408\u6210\u591a\u6a21\u6001\u5206\u7c7b\u4efb\u52a1\uff0c\u4f7f MachineLearningLM \u80fd\u591f\u76f4\u63a5\u5728\u6d77\u91cf\u5408\u6210\u6570\u636e\u4e0a\u7ec3\u4e60\u5904\u7406\u5f02\u6784\u4fe1\u53f7\u7684\u591a\u6a21\u6001\u4e0a\u4e0b\u6587\u9884\u6d4b\uff0c\u8fd9\u4f9d\u7136\u53ef\u4ee5\u5efa\u7acb\u5728\u8868\u683c\u9884\u6d4b\u7684\u6846\u67b6\u4e4b\u4e0a\uff0c\u4f8b\u5982\u5229\u7528 HTML \u8868\u683c\u6765\u5d4c\u5165\u56fe\u50cf\u3002<\/li>\n\n\n\n<li><strong>\u901a\u8fc7\u7cfb\u7edf\u4f18\u5316\u7a81\u7834\u4e0a\u4e0b\u6587\u957f\u5ea6\u9650\u5236<\/strong>\uff1a\u4f8b\u5982\u91c7\u7528\u5f20\u91cf \/ \u6d41\u6c34\u7ebf\u5e76\u884c\u3001\u9ad8\u6548\u5185\u5b58\u6ce8\u610f\u529b\u4e0e KV \u7f13\u5b58\u7b49\u7cfb\u7edf\u4f18\u5316\u6280\u672f\u3002<\/li>\n\n\n\n<li><strong>\u4e0d\u786e\u5b9a\u6027\u9884\u6d4b (Uncertainty)<\/strong>\uff1a\u9884\u6d4b\u7684\u540c\u65f6\u8f93\u51fa\u7f6e\u4fe1\u5ea6\uff08\u6bd4\u5982\u5229\u7528\u968f\u673a\u68ee\u6797\u7684\u7f6e\u4fe1\u5ea6\u505a\u70ed\u8eab\u8bad\u7ec3\uff09\uff0c\u4ee5\u51cf\u5c11\u6a21\u578b OpenAI \u8fd1\u671f\u63d0\u51fa\u7684\u7531\u4e8e\u7f3a\u4e4f\u627f\u8ba4\u4e0d\u786e\u5b9a\u6027\uff08Honesty about uncertainty\uff09\u5f15\u53d1\u7684\u5e7b\u89c9\uff08Hallucination\uff09\u3002<\/li>\n\n\n\n<li><strong>\u63d0\u5347\u53ef\u89e3\u91ca\u6027 (Interpretability)<\/strong>\uff1a\u53d9\u4e8b\u84b8\u998f\u4e0e\u63a8\u7406\u589e\u5f3a\u5b66\u4e60\uff0c\u65e2\u53ef\u4ee5\u5229\u7528\u5e95\u5c42\u7684 SCM\uff08\u53d8\u91cf\u3001\u5173\u7cfb\u4e0e\u673a\u5236\uff09\u4f5c\u4e3a\u9884\u6d4b\u4efb\u52a1\u7684\u8f85\u52a9\u76ee\u6807\uff0c\u4e5f\u53ef\u4ee5\u4ece\u96c6\u6210\u6a21\u578b\u4e2d\u84b8\u998f\u89c4\u5219\uff0c\u5f62\u6210\u7d27\u51d1\u3001\u4eba\u7c7b\u53ef\u8bfb\u7684\u63a8\u7406\u94fe\u6761\u3002<\/li>\n\n\n\n<li><strong>\u96c6\u6210\u68c0\u7d22\u589e\u5f3a\u65b9\u6cd5\uff08RAG\uff09<\/strong>\uff1a\u4e3a MachineLearningLM \u96c6\u6210\u4e00\u4e2a\u68c0\u7d22\u6a21\u5757\uff0c\u4f7f\u5176\u80fd\u5728\u9884\u8bad\u7ec3\u548c\u63a8\u7406\u65f6\u52a8\u6001\u6ce8\u5165\u6700\u76f8\u5173\u7684\u793a\u4f8b\u3002<\/li>\n\n\n\n<li><strong>\u8d4b\u80fd\u667a\u80fd\u4f53\uff08Agent\uff09<\/strong>\uff1a\u4e0e Agent \u8bb0\u5fc6\u673a\u5236\uff08Memory\uff09\u6df1\u5ea6\u878d\u5408\uff0c\u63d0\u5347\u5176\u5728\u590d\u6742\u73af\u5883\u4e2d\u5229\u7528\u591a\u6837\u672c\u7684\u4e0a\u4e0b\u6587\u5b66\u4e60\uff0c\u8d4b\u4e88\u667a\u80fd\u4f53\u5f3a\u5927\u7684\u4ece\u5927\u91cf\u7ecf\u9a8c\u8bb0\u5fc6\u4e2d\u6316\u6398\u548c\u5b66\u4e60\u7684\u80fd\u529b\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>\u5c3d\u7ba1\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u62e5\u6709\u5e7f\u6cdb\u7684\u4e16\u754c\u77e5\u8bc6\u548c\u5f3a\u5927\u7684\u63a8\u7406\u80fd\u529b\uff0c\u88ab\u5e7f\u6cdb\u89c6\u4e3a\u4f18\u79c0\u7684\u5c11\u6837\u672c\u5b66\u4e60\u8005\uff0c\u4f46\u5728\u5904\u7406\u9700\u8981\u5927\u91cf\u793a [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":892,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-889","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-10"],"_links":{"self":[{"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/posts\/889","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/comments?post=889"}],"version-history":[{"count":1,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/posts\/889\/revisions"}],"predecessor-version":[{"id":901,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/posts\/889\/revisions\/901"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/media\/892"}],"wp:attachment":[{"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/media?parent=889"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/categories?post=889"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/tags?post=889"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}