{"id":31915,"date":"2025-06-30T07:52:36","date_gmt":"2025-06-29T23:52:36","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=31915"},"modified":"2025-06-30T07:52:58","modified_gmt":"2025-06-29T23:52:58","slug":"physunibenchmarka","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/physunibenchmarka\/","title":{"rendered":"PhysUniBenchmark\uff1a\u591a\u6a21\u6001\u7269\u7406\u95ee\u9898\u57fa\u51c6\u6d4b\u8bd5\u5de5\u5177"},"content":{"rendered":"<p>PhysUniBenchmark \u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u591a\u6a21\u6001\u7269\u7406\u95ee\u9898\u57fa\u51c6\u6d4b\u8bd5\u5de5\u5177\uff0c\u6258\u7ba1\u5728 GitHub \u4e0a\uff0c\u7531 PrismaX-Team \u5f00\u53d1\u3002\u5b83\u65e8\u5728\u8bc4\u4f30\u591a\u6a21\u6001\u5927\u6a21\u578b\u5728\u5904\u7406\u672c\u79d1\u6c34\u5e73\u7269\u7406\u95ee\u9898\u65f6\u7684\u80fd\u529b\uff0c\u7279\u522b\u5173\u6ce8\u9700\u8981\u7ed3\u5408\u6982\u5ff5\u7406\u89e3\u548c\u89c6\u89c9\u89e3\u8bfb\u7684\u590d\u6742\u573a\u666f\u3002\u6570\u636e\u96c6\u5305\u542b\u591a\u6837\u5316\u7684\u7269\u7406\u95ee\u9898\uff0c\u8986\u76d6\u529b\u5b66\u3001\u7535\u78c1\u5b66\u3001\u5149\u5b66\u7b49\u591a\u4e2a\u9886\u57df\uff0c\u9898\u76ee\u5f62\u5f0f\u5305\u62ec\u6587\u5b57\u63cf\u8ff0\u3001\u516c\u5f0f\u3001\u56fe\u50cf\u548c\u56fe\u8868\u3002\u8be5\u5de5\u5177\u4e3a\u7814\u7a76\u4eba\u5458\u548c\u5f00\u53d1\u8005\u63d0\u4f9b\u4e86\u4e00\u4e2a\u6807\u51c6\u5316\u7684\u6d4b\u8bd5\u5e73\u53f0\uff0c\u5e2e\u52a9\u5206\u6790\u5927\u6a21\u578b\u5728\u7269\u7406\u63a8\u7406\u548c\u591a\u6a21\u6001\u4efb\u52a1\u4e2d\u7684\u8868\u73b0\u3002\u9879\u76ee\u6587\u6863\u8be6\u7ec6\uff0c\u6613\u4e8e\u83b7\u53d6\u548c\u4f7f\u7528\uff0c\u9002\u5408\u5b66\u672f\u7814\u7a76\u548c\u6a21\u578b\u4f18\u5316\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-31916\" title=\"PhysUniBenchmark\uff1a\u591a\u6a21\u6001\u7269\u7406\u95ee\u9898\u57fa\u51c6\u6d4b\u8bd5\u5de5\u5177-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/06\/ff6312b9d93f276.jpg\" alt=\"PhysUniBenchmark\uff1a\u591a\u6a21\u6001\u7269\u7406\u95ee\u9898\u57fa\u51c6\u6d4b\u8bd5\u5de5\u5177-1\" width=\"1848\" height=\"1304\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/06\/ff6312b9d93f276.jpg 1848w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/06\/ff6312b9d93f276-1536x1084.jpg 1536w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/06\/ff6312b9d93f276-18x12.jpg 18w\" sizes=\"auto, (max-width: 1848px) 100vw, 1848px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u63d0\u4f9b\u5927\u89c4\u6a21\u591a\u6a21\u6001\u7269\u7406\u95ee\u9898\u6570\u636e\u96c6\uff0c\u6db5\u76d6\u672c\u79d1\u6c34\u5e73\u7684\u591a\u79cd\u7269\u7406\u5b66\u79d1\u3002<\/li>\n<li>\u652f\u6301\u5bf9\u591a\u6a21\u6001\u5927\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\u8fdb\u884c\u6807\u51c6\u5316\u8bc4\u4f30\u3002<\/li>\n<li>\u5305\u542b\u4e30\u5bcc\u7684\u9898\u76ee\u7c7b\u578b\uff0c\u5982\u6587\u5b57\u3001\u516c\u5f0f\u3001\u56fe\u50cf\u548c\u56fe\u8868\uff0c\u6d4b\u8bd5\u7efc\u5408\u7406\u89e3\u80fd\u529b\u3002<\/li>\n<li>\u5f00\u6e90\u4ee3\u7801\u548c\u6570\u636e\u96c6\uff0c\u5141\u8bb8\u7528\u6237\u81ea\u7531\u4e0b\u8f7d\u3001\u4fee\u6539\u548c\u6269\u5c55\u3002<\/li>\n<li>\u63d0\u4f9b\u8be6\u7ec6\u7684\u6587\u6863\u548c\u4f7f\u7528\u6307\u5357\uff0c\u652f\u6301\u5feb\u901f\u4e0a\u624b\u3002<\/li>\n<li>\u652f\u6301\u751f\u6210\u8bc4\u4f30\u62a5\u544a\uff0c\u5206\u6790\u6a21\u578b\u5728\u4e0d\u540c\u7269\u7406\u9886\u57df\u7684\u8868\u73b0\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u83b7\u53d6\u548c\u5b89\u88c5<\/h3>\n<p>PhysUniBenchmark \u662f\u4e00\u4e2a\u57fa\u4e8e GitHub \u7684\u5f00\u6e90\u9879\u76ee\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u6b65\u9aa4\u83b7\u53d6\u548c\u4f7f\u7528\uff1a<\/p>\n<ol>\n<li><strong>\u514b\u9686\u4ed3\u5e93<\/strong><br \/>\n\u6253\u5f00\u7ec8\u7aef\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u514b\u9686\u9879\u76ee\u5230\u672c\u5730\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/PrismaX-Team\/PhysUniBenchmark.git\r\n<\/code><\/pre>\n<p>\u786e\u4fdd\u5df2\u5b89\u88c5 Git\u3002\u5982\u679c\u6ca1\u6709\uff0c\u53ef\u4ece\u00a0<a href=\"https:\/\/git-scm.com\/\">Git \u5b98\u7f51<\/a>\u00a0\u4e0b\u8f7d\u5e76\u5b89\u88c5\u3002<\/li>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong><br \/>\n\u8fdb\u5165\u9879\u76ee\u76ee\u5f55\uff1a<\/p>\n<pre><code>cd PhysUniBenchmark\r\n<\/code><\/pre>\n<p>\u9879\u76ee\u4f9d\u8d56 Python \u73af\u5883\uff08\u5efa\u8bae\u4f7f\u7528 Python 3.8 \u6216\u4ee5\u4e0a\uff09\u3002\u5b89\u88c5\u6240\u9700\u4f9d\u8d56\uff0c\u8fd0\u884c\uff1a<\/p>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<p><code>requirements.txt<\/code>\u00a0\u6587\u4ef6\u5217\u51fa\u4e86\u6240\u6709\u5fc5\u8981\u7684 Python \u5e93\uff0c\u5982 NumPy\u3001Pandas \u548c Matplotlib\u3002\u5982\u679c\u6587\u4ef6\u7f3a\u5931\uff0c\u53ef\u53c2\u8003\u9879\u76ee\u6587\u6863\u4e2d\u7684\u4f9d\u8d56\u5217\u8868\u624b\u52a8\u5b89\u88c5\u3002<\/li>\n<li><strong>\u6570\u636e\u96c6\u4e0b\u8f7d<\/strong><br \/>\n\u6570\u636e\u96c6\u5b58\u50a8\u5728 GitHub \u4ed3\u5e93\u6216\u5916\u90e8\u94fe\u63a5\u4e2d\u3002\u7528\u6237\u53ef\u76f4\u63a5\u4ece\u4ed3\u5e93\u7684\u00a0<code>data<\/code>\u00a0\u6587\u4ef6\u5939\u4e0b\u8f7d\uff0c\u6216\u6839\u636e\u6587\u6863\u4e2d\u7684\u94fe\u63a5\u8bbf\u95ee\u5b8c\u6574\u6570\u636e\u96c6\u3002\u4e0b\u8f7d\u540e\uff0c\u89e3\u538b\u6570\u636e\u96c6\u5230\u9879\u76ee\u76ee\u5f55\u4e0b\u7684\u6307\u5b9a\u6587\u4ef6\u5939\uff08\u9ed8\u8ba4\u8def\u5f84\u4e3a\u00a0<code>data\/<\/code>\uff09\u3002<\/li>\n<li><strong>\u914d\u7f6e\u73af\u5883<\/strong><br \/>\n\u786e\u4fdd\u672c\u5730\u73af\u5883\u652f\u6301\u591a\u6a21\u6001\u5927\u6a21\u578b\uff08\u5982 GPT-4o \u6216\u5176\u4ed6\u5f00\u6e90\u6a21\u578b\uff09\u3002\u7528\u6237\u9700\u6839\u636e\u6a21\u578b\u7684 API \u6216\u672c\u5730\u90e8\u7f72\u8981\u6c42\uff0c\u914d\u7f6e\u73af\u5883\u53d8\u91cf\u6216\u6a21\u578b\u8def\u5f84\u3002\u8be6\u7ec6\u914d\u7f6e\u6b65\u9aa4\u5728\u9879\u76ee\u00a0<code>README.md<\/code>\u00a0\u4e2d\u6709\u8bf4\u660e\u3002<\/li>\n<\/ol>\n<h3>\u4f7f\u7528\u6d41\u7a0b<\/h3>\n<p>PhysUniBenchmark \u7684\u6838\u5fc3\u529f\u80fd\u662f\u8bc4\u4f30\u591a\u6a21\u6001\u5927\u6a21\u578b\u5728\u7269\u7406\u95ee\u9898\u4e0a\u7684\u8868\u73b0\u3002\u4ee5\u4e0b\u662f\u5177\u4f53\u64cd\u4f5c\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u51c6\u5907\u6a21\u578b<\/strong><br \/>\n\u7528\u6237\u9700\u8981\u51c6\u5907\u4e00\u4e2a\u652f\u6301\u591a\u6a21\u6001\u8f93\u5165\uff08\u6587\u5b57\u548c\u56fe\u50cf\uff09\u7684\u5927\u6a21\u578b\u3002\u5e38\u89c1\u9009\u62e9\u5305\u62ec GPT-4o\u3001LLaVA \u6216\u5176\u4ed6\u5f00\u6e90\u6a21\u578b\u3002\u786e\u4fdd\u6a21\u578b\u5df2\u90e8\u7f72\u5e76\u53ef\u901a\u8fc7 API \u6216\u672c\u5730\u8c03\u7528\u3002<\/li>\n<li><strong>\u52a0\u8f7d\u6570\u636e\u96c6<\/strong><br \/>\n\u9879\u76ee\u63d0\u4f9b\u4e86\u4e00\u4e2a Python \u811a\u672c\u00a0<code>load_data.py<\/code>\u00a0\u7528\u4e8e\u52a0\u8f7d\u6570\u636e\u96c6\u3002\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<pre><code>python load_data.py --path data\/\r\n<\/code><\/pre>\n<p>\u8be5\u811a\u672c\u4f1a\u89e3\u6790\u6570\u636e\u96c6\u4e2d\u7684\u95ee\u9898\uff0c\u5305\u62ec\u6587\u5b57\u3001\u516c\u5f0f\u548c\u56fe\u50cf\uff0c\u5e76\u751f\u6210\u53ef\u4f9b\u6a21\u578b\u5904\u7406\u7684\u8f93\u5165\u683c\u5f0f\u3002<\/li>\n<li><strong>\u8fd0\u884c\u8bc4\u4f30<\/strong><br \/>\n\u4f7f\u7528\u63d0\u4f9b\u7684\u8bc4\u4f30\u811a\u672c\u00a0<code>evaluate.py<\/code>\u00a0\u6d4b\u8bd5\u6a21\u578b\u8868\u73b0\u3002\u547d\u4ee4\u793a\u4f8b\uff1a<\/p>\n<pre><code>python evaluate.py --model &lt;model_name&gt; --data_path data\/ --output results\/\r\n<\/code><\/pre>\n<ul>\n<li><code>&lt;model_name&gt;<\/code>\uff1a\u6307\u5b9a\u6a21\u578b\u540d\u79f0\u6216 API \u5bc6\u94a5\u3002<\/li>\n<li><code>--data_path<\/code>\uff1a\u6570\u636e\u96c6\u6240\u5728\u8def\u5f84\u3002<\/li>\n<li><code>--output<\/code>\uff1a\u8bc4\u4f30\u7ed3\u679c\u7684\u4fdd\u5b58\u8def\u5f84\u3002<br \/>\n\u811a\u672c\u4f1a\u81ea\u52a8\u5c06\u95ee\u9898\u8f93\u5165\u6a21\u578b\uff0c\u6536\u96c6\u7b54\u6848\uff0c\u5e76\u751f\u6210\u8bc4\u4f30\u62a5\u544a\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5206\u6790\u7ed3\u679c<\/strong><br \/>\n\u8bc4\u4f30\u5b8c\u6210\u540e\uff0c\u7ed3\u679c\u4fdd\u5b58\u5728\u00a0<code>results\/<\/code>\u00a0\u6587\u4ef6\u5939\u4e2d\uff0c\u683c\u5f0f\u4e3a CSV \u6216 JSON \u6587\u4ef6\u3002\u62a5\u544a\u5305\u542b\u6a21\u578b\u5728\u4e0d\u540c\u7269\u7406\u9886\u57df\uff08\u5982\u529b\u5b66\u3001\u7535\u78c1\u5b66\uff09\u7684\u51c6\u786e\u7387\u3001\u9519\u8bef\u5206\u6790\u548c\u6027\u80fd\u7edf\u8ba1\u3002\u7528\u6237\u53ef\u4f7f\u7528\u00a0<code>visualize.py<\/code>\u00a0\u811a\u672c\u751f\u6210\u53ef\u89c6\u5316\u56fe\u8868\uff1a<\/p>\n<pre><code>python visualize.py --results results\/eval_report.csv\r\n<\/code><\/pre>\n<p>\u56fe\u8868\u5305\u62ec\u67f1\u72b6\u56fe\u548c\u6298\u7ebf\u56fe\uff0c\u5c55\u793a\u6a21\u578b\u5728\u5404\u9886\u57df\u7684\u8868\u73b0\u5dee\u5f02\u3002<\/li>\n<\/ol>\n<h3>\u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/h3>\n<ul>\n<li><strong>\u591a\u6a21\u6001\u95ee\u9898\u6d4b\u8bd5<\/strong><br \/>\n\u6570\u636e\u96c6\u4e2d\u7684\u95ee\u9898\u7ed3\u5408\u4e86\u6587\u5b57\u3001\u516c\u5f0f\u548c\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u4e00\u4e2a\u529b\u5b66\u95ee\u9898\u53ef\u80fd\u5305\u542b\u7269\u4f53\u8fd0\u52a8\u7684\u6587\u5b57\u63cf\u8ff0\u3001\u53d7\u529b\u56fe\u548c\u901f\u5ea6-\u65f6\u95f4\u56fe\u8868\u3002\u7528\u6237\u53ef\u901a\u8fc7\u00a0<code>preprocess.py<\/code>\u00a0\u811a\u672c\u9884\u5904\u7406\u8fd9\u4e9b\u8f93\u5165\uff0c\u786e\u4fdd\u6a21\u578b\u80fd\u591f\u6b63\u786e\u89e3\u6790\uff1a<\/p>\n<pre><code>python preprocess.py --input data\/sample_problem.json\r\n<\/code><\/pre>\n<p>\u9884\u5904\u7406\u540e\u7684\u6570\u636e\u4f1a\u8f6c\u6362\u4e3a\u6a21\u578b\u53ef\u8bc6\u522b\u7684\u683c\u5f0f\uff0c\u5982 JSON \u6216\u5d4c\u5165\u5411\u91cf\u3002<\/li>\n<li><strong>\u81ea\u5b9a\u4e49\u6269\u5c55<\/strong><br \/>\n\u7528\u6237\u53ef\u4ee5\u5411\u6570\u636e\u96c6\u6dfb\u52a0\u65b0\u95ee\u9898\u3002\u95ee\u9898\u683c\u5f0f\u9700\u9075\u5faa\u9879\u76ee\u6587\u6863\u4e2d\u7684 JSON \u6a21\u677f\uff0c\u5305\u542b\u00a0<code>question<\/code>\uff08\u95ee\u9898\u63cf\u8ff0\uff09\u3001<code>image<\/code>\uff08\u56fe\u50cf\u8def\u5f84\uff09\u3001<code>answer<\/code>\uff08\u6b63\u786e\u7b54\u6848\uff09\u7b49\u5b57\u6bb5\u3002\u6dfb\u52a0\u540e\uff0c\u8fd0\u884c\u00a0<code>validate_data.py<\/code>\u00a0\u9a8c\u8bc1\u6570\u636e\u683c\u5f0f\uff1a<\/p>\n<pre><code>python validate_data.py --input data\/new_problem.json\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5bf9\u6bd4\u5206\u6790<\/strong><br \/>\n\u9879\u76ee\u652f\u6301\u540c\u65f6\u6d4b\u8bd5\u591a\u4e2a\u6a21\u578b\u3002\u7528\u6237\u53ef\u5728\u00a0<code>evaluate.py<\/code>\u00a0\u4e2d\u6307\u5b9a\u591a\u4e2a\u6a21\u578b\u540d\u79f0\uff0c\u811a\u672c\u4f1a\u751f\u6210\u5bf9\u6bd4\u62a5\u544a\uff0c\u5c55\u793a\u4e0d\u540c\u6a21\u578b\u5728\u540c\u4e00\u95ee\u9898\u4e0a\u7684\u8868\u73b0\u5dee\u5f02\u3002<\/li>\n<\/ul>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li>\u786e\u4fdd\u672c\u5730\u6709\u8db3\u591f\u7684\u5b58\u50a8\u7a7a\u95f4\uff08\u6570\u636e\u96c6\u53ef\u80fd\u8f83\u5927\uff0c\u5efa\u8bae\u81f3\u5c11 10GB\uff09\u3002<\/li>\n<li>\u8fd0\u884c\u8bc4\u4f30\u65f6\uff0c\u6a21\u578b\u63a8\u7406\u53ef\u80fd\u9700\u8981 GPU \u652f\u6301\uff0c\u5efa\u8bae\u4f7f\u7528\u914d\u5907 NVIDIA GPU \u7684\u8bbe\u5907\u3002<\/li>\n<li>\u5982\u679c\u4f7f\u7528\u4e91\u7aef API\uff08\u5982 GPT-4o\uff09\uff0c\u8bf7\u786e\u4fdd\u7f51\u7edc\u7a33\u5b9a\u5e76\u914d\u7f6e\u6b63\u786e\u7684 API \u5bc6\u94a5\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u5b66\u672f\u7814\u7a76<\/strong><br \/>\n\u7814\u7a76\u4eba\u5458\u53ef\u4ee5\u4f7f\u7528 PhysUniBenchmark \u6d4b\u8bd5\u591a\u6a21\u6001\u5927\u6a21\u578b\u5728\u7269\u7406\u63a8\u7406\u4efb\u52a1\u4e2d\u7684\u8868\u73b0\uff0c\u5206\u6790\u6a21\u578b\u7684\u5c40\u9650\u6027\uff0c\u4e3a\u6539\u8fdb\u6a21\u578b\u63d0\u4f9b\u6570\u636e\u652f\u6301\u3002<\/li>\n<li><strong>\u6a21\u578b\u5f00\u53d1<\/strong><br \/>\n\u5f00\u53d1\u8005\u53ef\u5229\u7528\u6570\u636e\u96c6\u4f18\u5316\u591a\u6a21\u6001\u6a21\u578b\u7684\u8bad\u7ec3\uff0c\u7279\u522b\u662f\u5728\u5904\u7406\u7269\u7406\u76f8\u5173\u4efb\u52a1\u65f6\uff0c\u63d0\u5347\u6a21\u578b\u7684\u89c6\u89c9\u548c\u903b\u8f91\u63a8\u7406\u80fd\u529b\u3002<\/li>\n<li><strong>\u6559\u80b2\u8f85\u52a9<\/strong><br \/>\n\u6559\u80b2\u5de5\u4f5c\u8005\u53ef\u5c06\u6570\u636e\u96c6\u7528\u4e8e\u6559\u5b66\uff0c\u751f\u6210\u7269\u7406\u95ee\u9898\u7684\u6d4b\u8bd5\u96c6\uff0c\u5e2e\u52a9\u5b66\u751f\u7406\u89e3\u590d\u6742\u6982\u5ff5\uff0c\u6216\u8bc4\u4f30 AI \u6559\u5b66\u5de5\u5177\u7684\u6027\u80fd\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>PhysUniBenchmark \u652f\u6301\u54ea\u4e9b\u7269\u7406\u9886\u57df\uff1f<\/strong><br \/>\n\u6570\u636e\u96c6\u8986\u76d6\u529b\u5b66\u3001\u7535\u78c1\u5b66\u3001\u5149\u5b66\u3001\u70ed\u5b66\u548c\u91cf\u5b50\u529b\u5b66\u7b49\u672c\u79d1\u6c34\u5e73\u7269\u7406\u5b66\u79d1\uff0c\u5305\u542b\u591a\u79cd\u9898\u578b\u3002<\/li>\n<li><strong>\u5982\u4f55\u6dfb\u52a0\u81ea\u5b9a\u4e49\u95ee\u9898\uff1f<\/strong><br \/>\n\u6309\u7167\u9879\u76ee\u6587\u6863\u4e2d\u7684 JSON \u6a21\u677f\u521b\u5efa\u95ee\u9898\u6587\u4ef6\uff0c\u5305\u542b\u6587\u5b57\u3001\u56fe\u50cf\u548c\u7b54\u6848\uff0c\u7136\u540e\u8fd0\u884c\u00a0<code>validate_data.py<\/code>\u00a0\u9a8c\u8bc1\u683c\u5f0f\u3002<\/li>\n<li><strong>\u9700\u8981\u54ea\u4e9b\u786c\u4ef6\u652f\u6301\uff1f<\/strong><br \/>\n\u5efa\u8bae\u4f7f\u7528\u914d\u5907 GPU \u7684\u8bbe\u5907\u4ee5\u52a0\u901f\u6a21\u578b\u63a8\u7406\uff0cCPU \u4e5f\u53ef\u8fd0\u884c\u4f46\u901f\u5ea6\u8f83\u6162\u3002\u81f3\u5c11 16GB \u5185\u5b58\u548c 10GB \u5b58\u50a8\u7a7a\u95f4\u3002<\/li>\n<li><strong>\u662f\u5426\u652f\u6301\u5f00\u6e90\u6a21\u578b\uff1f<\/strong><br \/>\n\u652f\u6301\u4efb\u4f55\u591a\u6a21\u6001\u6a21\u578b\uff0c\u5982 LLaVA\u3001CLIP \u7b49\uff0c\u9700\u6839\u636e\u6a21\u578b\u8981\u6c42\u914d\u7f6e\u73af\u5883\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>PhysUniBenchmark \u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u591a\u6a21\u6001\u7269\u7406\u95ee\u9898\u57fa\u51c6\u6d4b\u8bd5\u5de5\u5177\uff0c\u6258\u7ba1\u5728 GitHub \u4e0a\uff0c\u7531 PrismaX-Team \u5f00\u53d1\u3002\u5b83\u65e8\u5728\u8bc4\u4f30\u591a\u6a21\u6001\u5927\u6a21\u578b\u5728\u5904\u7406\u672c\u79d1\u6c34\u5e73\u7269\u7406\u95ee\u9898\u65f6\u7684\u80fd\u529b\uff0c\u7279\u522b\u5173\u6ce8\u9700\u8981\u7ed3\u5408\u6982\u5ff5\u7406\u89e3\u548c\u89c6\u89c9\u89e3\u8bfb\u7684\u590d\u6742\u573a\u666f\u3002\u6570\u636e&#8230;<\/p>\n","protected":false},"author":1,"featured_media":62347,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[230],"class_list":["post-31915","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aikaiyuanxiangmu"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/31915","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/comments?post=31915"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/31915\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media\/62347"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media?parent=31915"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/categories?post=31915"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/tags?post=31915"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}