{"id":1372,"date":"2025-06-03T20:36:00","date_gmt":"2025-06-03T12:36:00","guid":{"rendered":"http:\/\/www.applicationsofllm.com\/?p=1372"},"modified":"2025-10-15T15:38:03","modified_gmt":"2025-10-15T07:38:03","slug":"%e5%a4%a7%e6%a8%a1%e5%9e%8b%e8%83%bd%e5%90%a6%e4%b8%ba%e4%b8%8d%e5%90%8c%e7%a1%ac%e4%bb%b6%e5%b9%b3%e5%8f%b0%e7%94%9f%e6%88%90%e9%ab%98%e6%80%a7%e8%83%bd%e5%86%85%e6%a0%b8%ef%bc%9f%e5%8d%97%e5%a4%a7","status":"publish","type":"post","link":"http:\/\/www.applicationsofllm.com\/index.php\/2025\/06\/03\/%e5%a4%a7%e6%a8%a1%e5%9e%8b%e8%83%bd%e5%90%a6%e4%b8%ba%e4%b8%8d%e5%90%8c%e7%a1%ac%e4%bb%b6%e5%b9%b3%e5%8f%b0%e7%94%9f%e6%88%90%e9%ab%98%e6%80%a7%e8%83%bd%e5%86%85%e6%a0%b8%ef%bc%9f%e5%8d%97%e5%a4%a7\/","title":{"rendered":"\u5927\u6a21\u578b\u80fd\u5426\u4e3a\u4e0d\u540c\u786c\u4ef6\u5e73\u53f0\u751f\u6210\u9ad8\u6027\u80fd\u5185\u6838\uff1f\u5357\u5927\u6d59\u5927\u63d0\u51fa\u8de8\u5e73\u53f0\u5185\u6838\u751f\u6210\u8bc4\u6d4b\u6846\u67b6MultiKernelBench"},"content":{"rendered":"\n<p>\u5728\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u63a8\u7406\u4e0e\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u7edd\u5927\u90e8\u5206\u8ba1\u7b97\u90fd\u4f9d\u8d56\u4e8e\u5e95\u5c42\u8ba1\u7b97\u5185\u6838\uff08Kernel\uff09\u6765\u6267\u884c\u3002\u8ba1\u7b97\u5185\u6838\u662f\u8fd0\u884c\u5728\u786c\u4ef6\u52a0\u901f\u5668\uff08\u5982 GPU\u3001NPU\u3001TPU\uff09\u4e0a\u7684 \u201c\u5c0f\u578b\u9ad8\u6027\u80fd\u7a0b\u5e8f\u201d\uff0c\u5b83\u8d1f\u8d23\u5b8c\u6210\u77e9\u9635\u4e58\u6cd5\u3001\u5377\u79ef\u3001\u5f52\u4e00\u5316\u7b49\u6df1\u5ea6\u5b66\u4e60\u7684\u6838\u5fc3\u7b97\u5b50\u8fd0\u7b97\u3002<\/p>\n\n\n\n<p>\u5f53\u524d\uff0c\u8fd9\u4e9b\u5185\u6838\u901a\u5e38\u7531\u5f00\u53d1\u8005\u4f7f\u7528 CUDA\u3001AscendC\u3001Pallas \u7b49\u786c\u4ef6\u4e13\u7528\u5e76\u884c\u7f16\u7a0b\u8bed\u8a00\u624b\u5de5\u7f16\u5199 \u2014\u2014 \u8fd9\u8981\u6c42\u5f00\u53d1\u8005\u5177\u5907\u7cbe\u6e5b\u7684\u6027\u80fd\u8c03\u4f18\u6280\u5de7\uff0c\u5e76\u5bf9\u5e95\u5c42\u786c\u4ef6\u67b6\u6784\u6709\u6df1\u5165\u7406\u89e3\u3002<\/p>\n\n\n\n<p>\u8fd1\u5e74\u6765\uff0c\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u5728\u4ee3\u7801\u751f\u6210\u9886\u57df\u7684\u7a81\u7834\uff0c\u4f7f \u201c<strong>\u81ea\u52a8\u751f\u6210\u9ad8\u6027\u80fd\u6df1\u5ea6\u5b66\u4e60\u5185\u6838<\/strong>\u201d \u6210\u4e3a\u65b0\u7684\u7814\u7a76\u70ed\u70b9\u3002KernelBench\u3001TritonBench \u7b49\u8bc4\u6d4b\u57fa\u51c6\u76f8\u7ee7\u51fa\u73b0\uff0c\u4e3b\u8981\u805a\u7126\u4e8e\u8bc4\u4f30 LLM \u5728 NVIDIA GPU \u5185\u6838\u751f\u6210\u4e0a\u7684\u8868\u73b0\u3002<\/p>\n\n\n\n<p>\u5df2\u6709\u7814\u7a76\u8868\u660e\uff0c\u73b0\u6709 LLM \u5df2\u5177\u5907\u4e00\u5b9a\u7684 GPU \u5185\u6838\u751f\u6210\u80fd\u529b\u3002\u4f8b\u5982\uff0c\u82f1\u4f1f\u8fbe\u5de5\u7a0b\u5e08\u57fa\u4e8e DeepSeek-R1 \u8bbe\u8ba1\u4e86\u4e00\u5957\u5de5\u4f5c\u6d41\u7a0b\uff0c\u5728\u7b80\u5355\u7684 CUDA \u5185\u6838\u751f\u6210\u4efb\u52a1\u4e2d\uff0c\u8be5\u6d41\u7a0b\u751f\u6210\u7684\u5185\u6838\u5728\u6570\u503c\u4e0a\u5168\u90e8\u6b63\u786e\uff0c\u8fbe\u5230\u4e86 100% \u7684\u901a\u8fc7\u7387\u3002<\/p>\n\n\n\n<p>\u7136\u800c\uff0c\u5f53\u524d AI \u52a0\u901f\u5668\u67b6\u6784\u65e5\u8d8b\u591a\u6837\uff08\u5982 NVIDIA GPU\u3001\u534e\u4e3a\u6607\u817e NPU\u3001Google TPU\u3001Intel GPU \u7b49\uff09\uff0c\u5176\u5e95\u5c42\u5185\u6838\u8bed\u8a00\u5dee\u5f02\u663e\u8457\u3002\u73b0\u6709\u8bc4\u6d4b\u57fa\u51c6\u666e\u904d\u5b58\u5728\u5e73\u53f0\u8986\u76d6\u5355\u4e00\u3001\u8bc4\u4f30\u7ef4\u5ea6\u7c97\u7cd9\u3001\u53ef\u6269\u5c55\u6027\u4e0d\u8db3\u7b49\u5c40\u9650\u3002\u5728\u6b64\u80cc\u666f\u4e0b\uff0c\u5173\u952e\u95ee\u9898\u6d6e\u73b0\uff1a\u5927\u6a21\u578b\u5728 CUDA \u751f\u6001\u4e0b\u7684\u4f18\u52bf\u80fd\u5426\u6709\u6548\u8fc1\u79fb\u81f3\u5f02\u6784\u5e73\u53f0\uff1f\u6211\u4eec\u8ddd\u79bb\u81ea\u52a8\u5316\u751f\u6210\u9ad8\u6027\u80fd\u8ba1\u7b97\u5185\u6838\u7a76\u7adf\u8fd8\u6709\u591a\u8fdc\uff1f<\/p>\n\n\n\n<p>\u9488\u5bf9\u8fd9\u4e9b\u95ee\u9898\uff0c\u8fd1\u65e5\uff0c<strong>\u5357\u4eac\u5927\u5b66\u4e0e\u6d59\u6c5f\u5927\u5b66<\/strong>\u8054\u5408\u63a8\u51fa<strong>\u5168\u65b0\u5f00\u6e90\u8bc4\u6d4b\u6846\u67b6&nbsp;MultiKernelBench<\/strong>\uff0c\u6253\u7834\u5e73\u53f0\u3001\u7ef4\u5ea6\u4e0e\u6269\u5c55\u6027\u7684\u9650\u5236\uff0c\u4e3a LLM \u9a71\u52a8\u7684\u9ad8\u6027\u80fd\u5185\u6838\u751f\u6210\u63d0\u4f9b\u4e86\u65b0\u7684\u6d4b\u8bc4\u6807\u51c6\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/pdf\/2507.17773<\/li>\n\n\n\n<li>\u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/wzzll123\/MultiKernelBench<\/li>\n<\/ul>\n\n\n\n<p><strong>MultiKernelBench \u63d0\u51fa\u4e86\u4e00\u4e2a\u5f00\u653e\u8bc4\u6d4b\u573a\u666f\uff1a<\/strong>\u5728 GPU\u3001NPU\u3001TPU \u7b49\u591a\u5e73\u53f0\u4e0a\uff0cLLM \u81ea\u52a8\u751f\u6210\u9ad8\u6027\u80fd\u6df1\u5ea6\u5b66\u4e60\u5185\u6838\uff0c\u5e76\u5728\u771f\u5b9e\u8bbe\u5907\u4e2d\u5b8c\u6210\u7f16\u8bd1\u3001\u8fd0\u884c\u4e0e\u6027\u80fd\u9a8c\u8bc1\u3002\u5b83\u9996\u6b21\u8de8\u8d8a\u5355\u4e00\u786c\u4ef6\u751f\u6001\uff0c\u63a8\u52a8 LLM \u4ece \u201c\u5355\u5e73\u53f0\u9009\u624b\u201d \u8fc8\u5411 \u201c\u5168\u80fd\u578b\u9009\u624b\u201d\u3002<\/p>\n\n\n\n<p>\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0cMultiKernelBench \u7684\u8bbe\u8ba1\u5145\u5206\u8003\u8651\u4e86\u7b97\u5b50\u591a\u540e\u7aef\u7684\u53ef\u6269\u5c55\u6027\u3002\u4f8b\u5982\uff0cIntel \u5de5\u7a0b\u5e08\u57fa\u4e8e\u8be5\u6846\u67b6\u9ad8\u6548\u5730\u5b9e\u73b0\u4e86 Intel GPU \u7684\u9002\u914d\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"457\" src=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-182-1024x457.png\" alt=\"\" class=\"wp-image-1376\" srcset=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-182-1024x457.png 1024w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-182-300x134.png 300w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-182-768x342.png 768w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-182.png 1108w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><strong>MultiKernelBench \u662f\u5982\u4f55\u6784\u5efa\u7684\uff1f<\/strong><\/p>\n\n\n\n<p>&nbsp;\u4e3a\u4e86\u786e\u4fdd\u4efb\u52a1\u8986\u76d6\u5168\u9762\u4e14\u5177\u6709\u53ef\u6269\u5c55\u6027\uff0c\u7814\u7a76\u56e2\u961f\u8bbe\u8ba1\u4e86\u4e00\u5957\u6a21\u5757\u5316\u8bc4\u6d4b\u4f53\u7cfb\uff0c\u5305\u542b\u56db\u5927\u6838\u5fc3\u7279\u6027\uff1a<\/p>\n\n\n\n<p><strong>1\u3001 \u8de8\u786c\u4ef6\u5e73\u53f0\u652f\u6301<\/strong><\/p>\n\n\n\n<p>\u9996\u6279\u8986\u76d6\u4e09\u5927\u4e3b\u6d41\u67b6\u6784\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>NVIDIA GPU\uff08CUDA \/ Triton\uff09<\/li>\n\n\n\n<li>\u534e\u4e3a\u6607\u817e NPU\uff08AscendC\uff09<\/li>\n\n\n\n<li>Google TPU\uff08Pallas\uff09<\/li>\n<\/ul>\n\n\n\n<p>\u901a\u8fc7\u7edf\u4e00 Backend \u63a5\u53e3\u4e0e\u88c5\u9970\u5668\u673a\u5236\uff0c\u5b9e\u73b0\u65e0\u9700\u4fee\u6539\u6838\u5fc3\u903b\u8f91\u5373\u53ef\u5feb\u901f\u63a5\u5165\u65b0\u5e73\u53f0\u3002<\/p>\n\n\n\n<p>\u8bba\u6587\u4f5c\u8005\u540e\u7eed\u8ba1\u5212\u9010\u6b65\u6269\u5c55\u5bf9\u4e0d\u540c GPU \u548c NPU \u5382\u5546\u67b6\u6784\u7684\u652f\u6301\uff0c\u540c\u65f6\u4e5f\u8bda\u9080\u5404\u5382\u5546\u53c2\u4e0e\u5f00\u6e90\u751f\u6001\u7684\u5171\u5efa\u3002<\/p>\n\n\n\n<p><strong>2\u3001 \u7ec6\u7c92\u5ea6\u4efb\u52a1\u4f53\u7cfb<\/strong><\/p>\n\n\n\n<p>&nbsp;\u5728 Stanford KernelBench \u57fa\u7840\u4e0a\u91cd\u6784\u5206\u7c7b\u6846\u67b6\uff0c\u8986\u76d6 14 \u7c7b\u6838\u5fc3\u6df1\u5ea6\u5b66\u4e60\u7b97\u5b50\uff08\u5377\u79ef\u3001\u5f52\u4e00\u5316\u3001\u4f18\u5316\u5668\u3001\u7a00\u758f\u8ba1\u7b97\u7b49\uff09\uff0c\u4e0d\u4ec5\u7ee7\u627f\u4e86 250 \u4e2a\u7ecf\u5178\u4efb\u52a1\uff0c\u8fd8\u65b0\u589e 35 \u4e2a\u672a\u88ab\u73b0\u6709\u57fa\u51c6\u8986\u76d6\u7684\u5173\u952e\u7b97\u5b50\uff0c\u5168\u9762\u53cd\u6620 LLM \u5728\u4e0d\u540c\u7b97\u5b50\u7c7b\u578b\u4e0a\u7684\u751f\u6210\u80fd\u529b\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"749\" height=\"1024\" src=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-183-749x1024.png\" alt=\"\" class=\"wp-image-1377\" srcset=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-183-749x1024.png 749w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-183-219x300.png 219w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-183-768x1050.png 768w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-183.png 1108w\" sizes=\"auto, (max-width: 749px) 100vw, 749px\" \/><\/figure>\n\n\n\n<p><strong>3\u3001 \u7aef\u5230\u7aef\u81ea\u52a8\u5316\u8bc4\u6d4b<\/strong><\/p>\n\n\n\n<p>\u6784\u5efa\u6807\u51c6\u5316\u6d41\u7a0b\uff1a<strong>\u5185\u6838\u751f\u6210 \u2192 \u7f16\u8bd1 \u2192 \u786c\u4ef6\u6267\u884c \u2192 \u6027\u80fd\u5206\u6790<\/strong>\uff0c\u786e\u4fdd\u5728\u771f\u5b9e\u786c\u4ef6\u73af\u5883\u4e2d\u5b8c\u6210\u5168\u6d41\u7a0b\u9a8c\u8bc1\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"482\" src=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-550-1024x482.jpg\" alt=\"\" class=\"wp-image-1374\" srcset=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-550-1024x482.jpg 1024w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-550-300x141.jpg 300w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-550-768x361.jpg 768w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-550.jpg 1108w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><strong>4\u3001 \u7c7b\u522b\u611f\u77e5 One-shot \u63d0\u793a\u7b56\u7565<\/strong><\/p>\n\n\n\n<p>\u9488\u5bf9\u4e0d\u540c\u7b97\u5b50\u7c7b\u522b\u52a8\u6001\u9009\u53d6\u5178\u578b\u6837\u4f8b\u4f5c\u4e3a\u4e0a\u4e0b\u6587\u63d0\u793a\uff0c\u663e\u8457\u63d0\u5347\u751f\u6210\u4ee3\u7801\u7684\u8bed\u4e49\u76f8\u5173\u6027\u4e0e\u529f\u80fd\u6b63\u786e\u6027\uff0c\u5c24\u5176\u5728 AscendC\u3001Pallas \u7b49\u8bad\u7ec3\u8bed\u6599\u7a00\u7f3a\u7684\u5e73\u53f0\u4e0a\u6548\u679c\u663e\u8457\u3002<\/p>\n\n\n\n<p>\u6b64\u5916\uff0cMultiKernelBench \u63d0\u4f9b\u63d2\u4ef6\u5f0f\u63d0\u793a\u6a21\u677f\u7cfb\u7edf\uff0c\u65b9\u4fbf\u7814\u7a76\u8005\u63a2\u7d22\u591a\u6837\u5316\u7684\u63d0\u793a\u5de5\u7a0b\u7b56\u7565\u3002<\/p>\n\n\n\n<p><strong>\u5bf9\u6bd4\u73b0\u6709\u57fa\u51c6\uff0cMultiKernelBench \u5e26\u6765\u4e09\u5927\u7a81\u7834\uff1a<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u5e73\u53f0\u8986\u76d6\u66f4\u5e7f<\/strong>\uff1a\u6253\u7834\u5bf9\u5355\u4e00\u751f\u6001\u7684\u4f9d\u8d56\uff0c\u771f\u6b63\u5b9e\u73b0\u8de8 GPU \/ NPU \/ TPU \u7684\u7edf\u4e00\u8bc4\u6d4b\u3002<\/li>\n\n\n\n<li><strong>\u8bc4\u4f30\u7ef4\u5ea6\u66f4\u7ec6<\/strong>\uff1a\u4efb\u52a1\u5206\u7c7b\u7c92\u5ea6\u7cbe\u7ec6\u5316\uff0c\u53ef\u5b9a\u4f4d LLM \u5728\u4e0d\u540c\u7b97\u5b50\u7c7b\u578b\u4e0a\u7684\u4f18\u52bf\u4e0e\u77ed\u677f\u3002<\/li>\n\n\n\n<li><strong>\u6269\u5c55\u6027\u66f4\u5f3a<\/strong>\uff1a\u6a21\u5757\u5316\u67b6\u6784\u4e0e\u7edf\u4e00\u63a5\u53e3\u8bbe\u8ba1\uff0c\u4f7f\u5176\u80fd\u591f\u4f34\u968f AI \u786c\u4ef6\u751f\u6001\u5feb\u901f\u6f14\u8fdb\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>\u591a\u6a21\u578b\u5b9e\u6d4b\uff0c\u6a21\u578b\u8868\u73b0\u5982\u4f55\uff1f<\/strong><\/p>\n\n\n\n<p>\u57fa\u4e8e MultiKernelBench\uff0c\u8bc4\u4f30\u4e86\u5305\u62ec&nbsp;<strong>GPT-4o<\/strong><strong>\u3001Claude\u3001DeepSeek-V3\u3001Qwen<\/strong>&nbsp;\u7b49\u5728\u5185\u7684 7 \u4e2a\u4e3b\u6d41\u5927\u6a21\u578b\uff0c\u53c2\u6570\u89c4\u6a21\u6db5\u76d6 32B ~ 681B\u3002<\/p>\n\n\n\n<p>\u8bc4\u4f30\u6307\u6807\u5305\u62ec\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Compilation@k\uff1a\u751f\u6210\u4ee3\u7801\u662f\u5426\u80fd\u6210\u529f\u7f16\u8bd1&nbsp;<\/li>\n\n\n\n<li>Pass@k\uff1a\u662f\u5426\u8f93\u51fa\u529f\u80fd\u6b63\u786e\u7684\u7ed3\u679c&nbsp;<\/li>\n\n\n\n<li>SpeedUp@k\uff1a\u8fd0\u884c\u65f6\u662f\u5426\u5b9e\u73b0\u6027\u80fd\u4f18\u5316<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"246\" src=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-180-1024x246.png\" alt=\"\" class=\"wp-image-1373\" srcset=\"http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-180-1024x246.png 1024w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-180-300x72.png 300w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-180-768x184.png 768w, http:\/\/www.applicationsofllm.com\/wp-content\/uploads\/2025\/09\/image-180.png 1108w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>\u5b9e\u6d4b\u7ed3\u679c\u663e\u793a\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Claude-4-Sonnet \u5728\u6574\u4f53\u8bc4\u6d4b\u4e2d\u8868\u73b0\u6700\u4f73\uff1b\u63a8\u7406\u6a21\u578b\u8868\u73b0\u4f18\u5f02\u3002<\/li>\n\n\n\n<li>CUDA \u5e73\u53f0\u7684 Kernel \u6267\u884c\u901a\u8fc7\u7387\u663e\u8457\u9ad8\u4e8e Pallas \u4e0e AscendC\uff0c\u53cd\u6620\u51fa\u5f53\u524d LLM \u5bf9 CUDA \u66f4\u5177\u9002\u5e94\u6027\u3002<\/li>\n\n\n\n<li>\u7c7b\u522b\u611f\u77e5\u5f0f Prompting \u660e\u663e\u4f18\u4e8e\u901a\u7528\u6a21\u677f\uff0c\u5c24\u5176\u5728 AscendC \u7b49\u8bad\u7ec3\u8bed\u6599\u8f83\u5c11\u7684\u5e73\u53f0\u4e0a\uff0c\u80fd\u663e\u8457\u63d0\u5347\u751f\u6210\u6548\u679c\u4e0e\u6210\u529f\u7387\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>\u5c55\u671b\u4e0e\u672a\u6765\u8ba1\u5212<\/strong><\/p>\n\n\n\n<p>MultiKernelBench 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[&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1375,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-1372","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\/1372","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=1372"}],"version-history":[{"count":4,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/posts\/1372\/revisions"}],"predecessor-version":[{"id":1911,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/posts\/1372\/revisions\/1911"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/media\/1375"}],"wp:attachment":[{"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/media?parent=1372"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/categories?post=1372"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.applicationsofllm.com\/index.php\/wp-json\/wp\/v2\/tags?post=1372"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}