{"id":51137,"date":"2025-08-28T06:01:20","date_gmt":"2025-08-27T22:01:20","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=51137"},"modified":"2025-08-28T06:01:20","modified_gmt":"2025-08-27T22:01:20","slug":"alignlab","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/alignlab\/","title":{"rendered":"AlignLab\uff1a\u7528\u4e8e\u5bf9\u9f50\u5927\u8bed\u8a00\u6a21\u578b\u7684\u7efc\u5408\u5de5\u5177\u96c6"},"content":{"rendered":"<p>AlignLab \u662f\u4e00\u4e2a\u7531 OpenAlign \u56e2\u961f\u5f00\u53d1\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u5957\u5b8c\u6574\u7684\u6846\u67b6\u548c\u5de5\u5177\uff0c\u4e13\u95e8\u7528\u4e8e\u5bf9\u9f50\u5927\u8bed\u8a00\u6a21\u578b\u3002\u6240\u8c13\u201c\u5bf9\u9f50\u201d\uff0c\u662f\u6307\u8ba9\u6a21\u578b\u7684\u884c\u4e3a\u548c\u8f93\u51fa\u66f4\u7b26\u5408\u4eba\u7c7b\u7684\u671f\u671b\u4e0e\u4ef7\u503c\u89c2\uff0c\u4f8b\u5982\u786e\u4fdd\u5176\u5b89\u5168\u6027\u3001\u771f\u5b9e\u6027\u3001\u65e0\u504f\u89c1\u548c\u65e0\u5bb3\u6027\u3002\u968f\u7740\u5927\u6a21\u578b\u7684\u80fd\u529b\u8d8a\u6765\u8d8a\u5f3a\uff0c\u5982\u4f55\u786e\u4fdd\u5b83\u4eec\u88ab\u8d1f\u8d23\u4efb\u5730\u4f7f\u7528\u6210\u4e3a\u4e86\u4e00\u4e2a\u6838\u5fc3\u6311\u6218\uff0c\u800c AlignLab \u7684\u76ee\u6807\u5c31\u662f\u4e3a\u7814\u7a76\u4eba\u5458\u548c\u5f00\u53d1\u8005\u63d0\u4f9b\u4e00\u5957\u6807\u51c6\u3001\u6613\u7528\u7684\u5de5\u5177\u6765\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u3002\u8fd9\u4e2a\u9879\u76ee\u901a\u8fc7\u6574\u5408\u591a\u79cd\u4e3b\u6d41\u7684\u8bc4\u6d4b\u6807\u51c6\u548c\u6570\u636e\u96c6\uff0c\u5f62\u6210\u4e86\u4e00\u4e2a\u7edf\u4e00\u7684\u5de5\u4f5c\u6d41\u7a0b\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u547d\u4ee4\u6765\u8fd0\u884c\u590d\u6742\u7684\u5b89\u5168\u8bc4\u4f30\u3001\u751f\u6210\u8be6\u7ec6\u7684\u5206\u6790\u62a5\u544a\uff0c\u4ece\u800c\u7cfb\u7edf\u6027\u5730\u63d0\u5347\u6a21\u578b\u7684\u53ef\u9760\u6027\u3002<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u7edf\u4e00\u7684\u8bc4\u6d4b\u6846\u67b6<\/strong>\uff1a\u5c06\u591a\u4e2a\u4e3b\u6d41\u8bc4\u6d4b\u5de5\u5177\uff08\u5982 lm-evaluation-harness\u3001OpenAI Evals\uff09\u7684\u9002\u914d\u5668\u6574\u5408\u5728\u4e00\u8d77\uff0c\u7528\u6237\u65e0\u9700\u5728\u4e0d\u540c\u5de5\u5177\u95f4\u5207\u6362\u3002<\/li>\n<li><strong>\u4e30\u5bcc\u7684\u57fa\u51c6\u6d4b\u8bd5\u5957\u4ef6<\/strong>\uff1a\u5185\u7f6e\u4e86\u591a\u4e2a\u9884\u8bbe\u7684\u8bc4\u6d4b\u5957\u4ef6\uff0c\u5982<code>safety_core_v1<\/code>\uff0c\u6db5\u76d6\u4e86\u4ece\u5b89\u5168\u6027\u3001\u6bd2\u6027\u5185\u5bb9\u3001\u771f\u5b9e\u6027\u5230\u504f\u89c1\u7b49\u591a\u4e2a\u7ef4\u5ea6\u7684\u8bc4\u6d4b\u3002<\/li>\n<li><strong>\u201c\u6ce8\u518c\u8868\u4f18\u5148\u201d\u8bbe\u8ba1<\/strong>\uff1a\u6240\u6709\u7684\u57fa\u51c6\u6d4b\u8bd5\u90fd\u901a\u8fc7\u4e00\u4e2a\u7b80\u5355\u7684<code>YAML<\/code>\u6587\u4ef6\u6765\u5b9a\u4e49\uff0c\u5305\u542b\u4e86\u6570\u636e\u6765\u6e90\u3001\u8bc4\u6d4b\u6307\u6807\u548c\u7248\u672c\u7b49\u4fe1\u606f\uff0c\u786e\u4fdd\u4e86\u8bc4\u6d4b\u7684\u53ef\u590d\u73b0\u6027\u3002<\/li>\n<li><strong>\u591a\u8bed\u8a00\u652f\u6301<\/strong>\uff1a\u96c6\u6210\u4e86\u591a\u79cd\u8bed\u8a00\u7684\u6bd2\u6027\u3001\u771f\u5b9e\u6027\u548c\u504f\u89c1\u6570\u636e\u96c6\u7684\u52a0\u8f7d\u5668\uff0c\u65b9\u4fbf\u8fdb\u884c\u8de8\u8bed\u8a00\u7684\u6a21\u578b\u5bf9\u9f50\u7814\u7a76\u3002<\/li>\n<li><strong>\u201c\u5b88\u536b\u201d\u6a21\u578b\u96c6\u6210<\/strong>\uff1a\u63d0\u4f9b\u7edf\u4e00\u7684\u63a5\u53e3\u6765\u8c03\u7528\u50cf Llama-Guard-3 \u8fd9\u6837\u7684\u201c\u5b88\u536b\u201d\u6a21\u578b\uff0c\u53ef\u4ee5\u4f5c\u4e3a\u524d\u7f6e\u6216\u540e\u7f6e\u8fc7\u6ee4\u5668\uff0c\u6216\u8005\u4f5c\u4e3a\u88c1\u5224\u6765\u8bc4\u4f30\u6a21\u578b\u8f93\u51fa\u7684\u5b89\u5168\u6027\u3002<\/li>\n<li><strong>\u667a\u80fd\u4f53\u8bc4\u6d4b<\/strong>\uff1a\u652f\u6301\u5728\u5b89\u5168\u7684\u6c99\u76d2\u73af\u5883\u4e2d\u5bf9\u667a\u80fd\u4f53\u7684\u80fd\u529b\u8fdb\u884c\u8bc4\u6d4b\uff0c\u4f8b\u5982\u8bc4\u4f30\u5176\u653b\u51fb\u6210\u529f\u7387\u548c\u8fc7\u5ea6\u62d2\u7edd\u670d\u52a1\u7684\u503e\u5411\u3002<\/li>\n<li><strong>\u81ea\u52a8\u5316\u62a5\u544a\u751f\u6210<\/strong>\uff1a\u80fd\u591f\u4e00\u952e\u751f\u6210\u8be6\u7ec6\u7684\u8bc4\u6d4b\u62a5\u544a\uff0c\u683c\u5f0f\u7c7b\u4f3c\u4e8e\u5b66\u672f\u8bba\u6587\uff0c\u5305\u542b\u56fe\u8868\u3001\u7f6e\u4fe1\u533a\u95f4\u548c\u5206\u7c7b\u522b\u7684\u6570\u636e\u5206\u6790\uff0c\u5e76\u652f\u6301\u5bfc\u51fa\u4e3aPDF\u6216HTML\u683c\u5f0f\u3002<\/li>\n<\/ul>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<p>AlignLab \u63d0\u4f9b\u4e86\u4e00\u5957\u547d\u4ee4\u884c\u5de5\u5177\u548c\u6838\u5fc3Python\u5e93\uff0c\u8ba9\u7528\u6237\u53ef\u4ee5\u7075\u6d3b\u5730\u8fdb\u884c\u6a21\u578b\u5bf9\u5947\u7684\u5404\u9879\u5de5\u4f5c\u3002<\/p>\n<h3>1. \u73af\u5883\u5b89\u88c5<\/h3>\n<p>\u9879\u76ee\u63a8\u8350\u4f7f\u7528\u00a0<code>uv<\/code>\u00a0\u4f5c\u4e3a\u5305\u7ba1\u7406\u5668\uff0c\u4ee5\u83b7\u5f97\u66f4\u5feb\u7684\u4f9d\u8d56\u89e3\u6790\u901f\u5ea6\u3002<\/p>\n<p><strong>\u7b2c\u4e00\u6b65\uff1a\u5b89\u88c5 uv<\/strong><br \/>\n\u5982\u679c\u4f60\u7684\u7cfb\u7edf\u4e2d\u8fd8\u6ca1\u6709\u00a0<code>uv<\/code>\uff0c\u53ef\u4ee5\u901a\u8fc7\u00a0<code>pipx<\/code>\u00a0\u6216\u00a0<code>pip<\/code>\u00a0\u8fdb\u884c\u5b89\u88c5\u3002<\/p>\n<pre><code># \u4f7f\u7528 pipx (\u63a8\u8350)\r\npipx install uv\r\n\r\n# \u6216\u8005\u4f7f\u7528 pip\r\npip install uv\r\n<\/code><\/pre>\n<p><strong>\u7b2c\u4e8c\u6b65\uff1a\u521b\u5efa\u865a\u62df\u73af\u5883\u5e76\u6fc0\u6d3b<\/strong><br \/>\n\u5728\u4f60\u9009\u62e9\u7684\u9879\u76ee\u76ee\u5f55\u4e0b\uff0c\u4f7f\u7528\u00a0<code>uv<\/code>\u00a0\u521b\u5efa\u4e00\u4e2a\u65b0\u7684Python\u865a\u62df\u73af\u5883\u3002<\/p>\n<pre><code># \u521b\u5efa\u540d\u4e3a .venv \u7684\u865a\u62df\u73af\u5883\r\nuv venv\r\n\r\n# \u6fc0\u6d3b\u865a\u62df\u73af\u5883 (Windows)\r\n.venv\\Scripts\\activate\r\n\r\n# \u6fc0\u6d3b\u865a\u62df\u73af\u5883 (macOS\/Linux)\r\nsource .venv\/bin\/activate\r\n<\/code><\/pre>\n<p><strong>\u7b2c\u4e09\u6b65\uff1a\u514b\u9686 AlignLab \u4ed3\u5e93<\/strong><br \/>\n\u4ece GitHub \u4e0a\u5c06\u9879\u76ee\u4ee3\u7801\u514b\u9686\u5230\u672c\u5730\u3002<\/p>\n<pre><code>git clone https:\/\/github.com\/OpenAlign\/AlignLab.git\r\ncd AlignLab\r\n<\/code><\/pre>\n<p><strong>\u7b2c\u56db\u6b65\uff1a\u5b89\u88c5\u9879\u76ee\u4f9d\u8d56<\/strong><br \/>\n\u5728\u4ed3\u5e93\u7684\u6839\u76ee\u5f55\u4e0b\uff0c\u4f7f\u7528\u00a0<code>uv pip install<\/code>\u00a0\u547d\u4ee4\u5b89\u88c5 AlignLab \u7684\u6240\u6709\u6a21\u5757\u3002<code>-e<\/code>\u00a0\u53c2\u6570\u8868\u793a\u4ee5\u201c\u53ef\u7f16\u8f91\u201d\u6a21\u5f0f\u5b89\u88c5\uff0c\u8fd9\u610f\u5473\u7740\u4f60\u5bf9\u6e90\u4ee3\u7801\u7684\u4fee\u6539\u4f1a\u7acb\u523b\u751f\u6548\uff0c\u975e\u5e38\u9002\u5408\u5f00\u53d1\u548c\u8c03\u8bd5\u3002<\/p>\n<pre><code>uv pip install -e packages\/alignlab-core -e packages\/alignlab-cli \\\r\n-e packages\/alignlab-evals -e packages\/alignlab-guards \\\r\n-e packages\/alignlab-agents -e packages\/alignlab-dash\r\n<\/code><\/pre>\n<p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c<code>alignlab<\/code>\u00a0\u547d\u4ee4\u884c\u5de5\u5177\u5c31\u53ef\u4ee5\u4f7f\u7528\u4e86\u3002<\/p>\n<h3>2. \u6838\u5fc3\u529f\u80fd\u64cd\u4f5c<\/h3>\n<p>AlignLab \u7684\u4e3b\u8981\u529f\u80fd\u901a\u8fc7\u00a0<code>alignlab<\/code>\u00a0\u547d\u4ee4\u884c\u5de5\u5177\u6765\u8c03\u7528\uff0c\u4ee5\u4e0b\u662f\u51e0\u4e2a\u6838\u5fc3\u547d\u4ee4\u7684\u4f7f\u7528\u65b9\u6cd5\u3002<\/p>\n<p><strong>A. \u8fd0\u884c\u4e00\u6b21\u5b8c\u6574\u7684\u5b89\u5168\u8bc4\u4f30<\/strong><\/p>\n<p>\u8fd9\u662f\u4e00\u4e2a\u6700\u5e38\u7528\u7684\u529f\u80fd\uff0c\u53ef\u4ee5\u5bf9\u6307\u5b9a\u7684\u6a21\u578b\u8fd0\u884c\u4e00\u5957\u5168\u9762\u7684\u5b89\u5168\u6838\u5fc3\u8bc4\u6d4b\uff0c\u5e76\u751f\u6210\u62a5\u544a\u3002<\/p>\n<pre><code>alignlab eval run --suite alignlab:safety_core_v1 \\\r\n--model meta-llama\/Llama-3.1-8B-Instruct --provider hf \\\r\n--guards llama_guard_3 --max-samples 200 \\\r\n--report out\/safety_core_v1\r\n<\/code><\/pre>\n<ul>\n<li><code>--suite alignlab:safety_core_v1<\/code>: \u6307\u5b9a\u4f7f\u7528\u540d\u4e3a\u00a0<code>safety_core_v1<\/code>\u00a0\u7684\u9884\u8bbe\u8bc4\u6d4b\u5957\u4ef6\uff0c\u5b83\u5305\u542b\u4e86\u4e00\u7cfb\u5217\u5173\u4e8e\u5b89\u5168\u6027\u3001\u504f\u89c1\u548c\u771f\u5b9e\u6027\u7684\u6d4b\u8bd5\u3002<\/li>\n<li><code>--model meta-llama\/Llama-3.1-8B-Instruct<\/code>: \u6307\u5b9a\u9700\u8981\u88ab\u8bc4\u6d4b\u7684\u6a21\u578b\uff0c\u8fd9\u91cc\u4ee5 Llama-3.1 8B \u6307\u4ee4\u5fae\u8c03\u6a21\u578b\u4e3a\u4f8b\u3002<\/li>\n<li><code>--provider hf<\/code>: \u6307\u5b9a\u6a21\u578b\u63d0\u4f9b\u65b9\u4e3a Hugging Face (<code>hf<\/code>)\u3002<\/li>\n<li><code>--guards llama_guard_3<\/code>: \u5728\u8bc4\u6d4b\u6d41\u7a0b\u4e2d\u52a0\u5165 Llama Guard 3 \u6a21\u578b\u4f5c\u4e3a\u201c\u5b88\u536b\u201d\uff0c\u7528\u4e8e\u8bc4\u4f30\u6a21\u578b\u7684\u5b89\u5168\u9632\u62a4\u80fd\u529b\u3002<\/li>\n<li><code>--max-samples 200<\/code>: \u8bbe\u7f6e\u6bcf\u4e2a\u6d4b\u8bd5\u4efb\u52a1\u6700\u591a\u4f7f\u7528200\u4e2a\u6837\u672c\uff0c\u7528\u4e8e\u5feb\u901f\u9a8c\u8bc1\u3002<\/li>\n<li><code>--report out\/safety_core_v1<\/code>: \u6307\u5b9a\u8bc4\u6d4b\u7ed3\u679c\u7684\u4fdd\u5b58\u8def\u5f84\u3002<\/li>\n<\/ul>\n<p><strong>B. \u751f\u6210\u53ef\u89c6\u5316\u62a5\u544a<\/strong><\/p>\n<p>\u5728\u8bc4\u6d4b\u8fd0\u884c\u7ed3\u675f\u540e\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u00a0<code>report build<\/code>\u00a0\u547d\u4ee4\u5c06\u539f\u59cb\u7684\u8bc4\u6d4b\u7ed3\u679c\u6570\u636e\u7f16\u8bd1\u6210\u4eba\u7c7b\u6613\u8bfb\u7684\u62a5\u544a\u3002<\/p>\n<pre><code>alignlab report build out\/safety_core_v1 --format html,pdf\r\n<\/code><\/pre>\n<ul>\n<li><code>out\/safety_core_v1<\/code>: \u6307\u5411\u4e0a\u4e00\u6761\u547d\u4ee4\u4e2d\u4fdd\u5b58\u8bc4\u6d4b\u7ed3\u679c\u7684\u76ee\u5f55\u3002<\/li>\n<li><code>--format html,pdf<\/code>: \u6307\u5b9a\u540c\u65f6\u751f\u6210 HTML \u548c PDF \u4e24\u79cd\u683c\u5f0f\u7684\u62a5\u544a\u3002<\/li>\n<\/ul>\n<p><strong>C. \u67e5\u770b\u53ef\u7528\u7684\u8d44\u6e90<\/strong><\/p>\n<p>\u4f60\u53ef\u4ee5\u968f\u65f6\u67e5\u770b AlignLab \u4e2d\u5df2\u7ecf\u6ce8\u518c\u4e86\u54ea\u4e9b\u53ef\u7528\u7684\u57fa\u51c6\u6d4b\u8bd5\u548c\u6a21\u578b\u3002<\/p>\n<pre><code># \u5217\u51fa\u6240\u6709\u53ef\u7528\u7684\u57fa\u51c6\u6d4b\u8bd5\uff0c\u5e76\u6309\u5b89\u5168\u3001\u591a\u8bed\u8a00\u8fdb\u884c\u7b5b\u9009\r\nalignlab benchmarks ls --filter safety,multilingual\r\n\r\n# \u5217\u51fa\u6240\u6709\u53ef\u7528\u7684\u6a21\u578b\r\nalignlab models ls\r\n<\/code><\/pre>\n<p><strong>D. \u8fd0\u884c\u5355\u4e2a\u57fa\u51c6\u6d4b\u8bd5<\/strong><\/p>\n<p>\u9664\u4e86\u8fd0\u884c\u5b8c\u6574\u7684\u5957\u4ef6\uff0c\u4f60\u4e5f\u53ef\u4ee5\u53ea\u9488\u5bf9\u67d0\u4e00\u4e2a\u7279\u5b9a\u7684\u57fa\u51c6\u8fdb\u884c\u6d4b\u8bd5\u3002<\/p>\n<pre><code># \u8fd0\u884c truthfulqa \u57fa\u51c6\u6d4b\u8bd5\u7684\u9a8c\u8bc1\u96c6\u90e8\u5206\r\n# \u5e76\u4f7f\u7528\u5927\u8bed\u8a00\u6a21\u578b\u4f5c\u4e3a\u88c1\u5224 (llm_rubric) \u6765\u8fdb\u884c\u6253\u5206\r\nalignlab eval run truthfulqa --split validation --judge llm_rubric\r\n<\/code><\/pre>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>AI\u5b89\u5168\u4e0e\u5408\u89c4\u7814\u7a76<\/strong><br \/>\n\u7814\u7a76\u4eba\u5458\u53ef\u4ee5\u5229\u7528 AlignLab \u5bf9\u4e0d\u540c\u7684\u5927\u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u6807\u51c6\u5316\u7684\u5b89\u5168\u8bc4\u6d4b\uff0c\u901a\u8fc7\u5176\u5168\u9762\u7684\u57fa\u51c6\u6d4b\u8bd5\u5957\u4ef6\uff0c\u7cfb\u7edf\u6027\u5730\u8bc4\u4f30\u6a21\u578b\u5728\u6709\u5bb3\u4fe1\u606f\u751f\u6210\u3001\u504f\u89c1\u3001\u9690\u79c1\u6cc4\u9732\u7b49\u65b9\u9762\u7684\u98ce\u9669\u3002\u751f\u6210\u7684\u91cf\u5316\u62a5\u544a\u53ef\u76f4\u63a5\u7528\u4e8e\u5b66\u672f\u8bba\u6587\u548c\u7814\u7a76\u5206\u6790\u3002<\/li>\n<li><strong>\u4f01\u4e1a\u7ea7\u6a21\u578b\u90e8\u7f72\u524d\u9a8c\u8bc1<\/strong><br \/>\n\u4f01\u4e1a\u5728\u5c06\u5927\u6a21\u578b\u96c6\u6210\u5230\u4ea7\u54c1\u6216\u670d\u52a1\u4e4b\u524d\uff0c\u9700\u8981\u786e\u4fdd\u5176\u8f93\u51fa\u5185\u5bb9\u7684\u5b89\u5168\u6027\u548c\u53ef\u9760\u6027\u3002AlignLab \u63d0\u4f9b\u4e86\u4e00\u5957\u751f\u4ea7\u73af\u5883\u5f00\u7bb1\u5373\u7528\u7684\u8bc4\u6d4b\u6d41\u7a0b\uff0c\u53ef\u4ee5\u5e2e\u52a9\u5f00\u53d1\u56e2\u961f\u5728\u6a21\u578b\u4e0a\u7ebf\u524d\u8fdb\u884c\u4e25\u683c\u7684\u201c\u7ea2\u961f\u6f14\u7ec3\u201d\u548c\u98ce\u9669\u8bc4\u4f30\uff0c\u786e\u4fdd\u6a21\u578b\u7b26\u5408\u516c\u53f8\u7684\u5b89\u5168\u4e0e\u9053\u5fb7\u51c6\u5219\u3002<\/li>\n<li><strong>\u7279\u5b9a\u9886\u57df\u6a21\u578b\u7684\u5bf9\u9f50\u5fae\u8c03<\/strong><br \/>\n\u5f53\u5f00\u53d1\u8005\u9700\u8981\u4e3a\u4e00\u4e2a\u7279\u5b9a\u9886\u57df\uff08\u5982\u91d1\u878d\u3001\u533b\u7597\uff09\u5fae\u8c03\u6a21\u578b\u65f6\uff0c\u4e0d\u4ec5\u8981\u63d0\u5347\u5176\u4e13\u4e1a\u80fd\u529b\uff0c\u8fd8\u8981\u786e\u4fdd\u5176\u884c\u4e3a\u7b26\u5408\u884c\u4e1a\u89c4\u8303\u3002AlignLab \u53ef\u4ee5\u5e2e\u52a9\u5f00\u53d1\u8005\u5728\u5fae\u8c03\u8fc7\u7a0b\u4e2d\u6301\u7eed\u76d1\u63a7\u6a21\u578b\u7684\u5bf9\u9f50\u6c34\u5e73\uff0c\u4f8b\u5982\u901a\u8fc7 TruthfulQA \u68c0\u9a8c\u5176\u8f93\u51fa\u7684\u771f\u5b9e\u6027\uff0c\u6216\u901a\u8fc7\u81ea\u5b9a\u4e49\u7684\u57fa\u51c6\u6765\u786e\u4fdd\u5176\u65e0\u5bb3\u6027\u3002<\/li>\n<li><strong>\u591a\u8bed\u8a00\u6a21\u578b\u7684\u516c\u5e73\u6027\u4e0e\u4e00\u81f4\u6027\u6d4b\u8bd5<\/strong><br \/>\n\u5bf9\u4e8e\u9700\u8981\u670d\u52a1\u5168\u7403\u7528\u6237\u7684\u591a\u8bed\u8a00\u6a21\u578b\uff0c\u786e\u4fdd\u5176\u5728\u4e0d\u540c\u6587\u5316\u548c\u8bed\u8a00\u80cc\u666f\u4e0b\u8868\u73b0\u4e00\u81f4\u4e14\u65e0\u504f\u89c1\u81f3\u5173\u91cd\u8981\u3002AlignLab \u7684\u591a\u8bed\u8a00\u652f\u6301\u529f\u80fd\uff0c\u53ef\u4ee5\u5e2e\u52a9\u5f00\u53d1\u8005\u8bc4\u4f30\u6a21\u578b\u5728\u5904\u7406\u4e0d\u540c\u8bed\u8a00\u65f6\u7684\u516c\u5e73\u6027\u548c\u6587\u5316\u654f\u611f\u6027\uff0c\u53ca\u65f6\u53d1\u73b0\u5e76\u4fee\u590d\u6f5c\u5728\u7684\u504f\u89c1\u95ee\u9898\u3002<\/li>\n<\/ol>\n<h2>QA<\/h2>\n<ol>\n<li><strong>\u4ec0\u4e48\u53eb\u4f5c\u201c\u6a21\u578b\u5bf9\u9f50\u201d\uff1f<\/strong><br \/>\n\u6a21\u578b\u5bf9\u9f50\u662f\u6307\u8c03\u6574\u548c\u4f18\u5316\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u4f7f\u5176\u884c\u4e3a\u548c\u8f93\u51fa\u4e0e\u4eba\u7c7b\u7684\u610f\u56fe\u3001\u4ef7\u503c\u89c2\u548c\u793e\u4f1a\u89c4\u8303\u4fdd\u6301\u4e00\u81f4\u7684\u8fc7\u7a0b\u3002\u8fd9\u4e3b\u8981\u5305\u62ec\u4e09\u4e2a\u5c42\u9762\uff1a\u6709\u7528\u6027\uff08\u80fd\u7406\u89e3\u5e76\u5b8c\u6210\u6307\u4ee4\uff09\u3001\u771f\u5b9e\u6027\uff08\u4e0d\u8bf4\u5047\u8bdd\uff09\u548c\u65e0\u5bb3\u6027\uff08\u4e0d\u4ea7\u751f\u6709\u504f\u89c1\u3001\u6b67\u89c6\u6027\u6216\u5371\u9669\u7684\u5185\u5bb9\uff09\u3002AlignLab \u8fd9\u4e2a\u5de5\u5177\u5c31\u662f\u4e3a\u4e86\u7cfb\u7edf\u6027\u5730\u8bc4\u6d4b\u548c\u63d0\u5347\u6a21\u578b\u7684\u5bf9\u9f50\u6c34\u5e73\u800c\u8bbe\u8ba1\u7684\u3002<\/li>\n<li><strong>AlignLab \u548c\u5176\u4ed6\u8bc4\u6d4b\u5de5\u5177\u6709\u4ec0\u4e48\u4e0d\u540c\uff1f<\/strong><br \/>\nAlignLab \u6700\u5927\u7684\u7279\u70b9\u662f\u5176\u201c\u7efc\u5408\u6027\u201d\u548c\u201c\u6846\u67b6\u6027\u201d\u3002\u5b83\u672c\u8eab\u4e0d\u91cd\u65b0\u53d1\u660e\u8bc4\u6d4b\u7b97\u6cd5\uff0c\u800c\u662f\u5c06\u793e\u533a\u4e2d\u5df2\u7ecf\u6210\u719f\u7684\u3001\u88ab\u5e7f\u6cdb\u8ba4\u53ef\u7684\u8bc4\u6d4b\u5de5\u5177\uff08\u5982 HarmBench, JailbreakBench \u7b49\uff09\u901a\u8fc7\u201c\u9002\u914d\u5668\u201d\u6a21\u5f0f\u6574\u5408\u5230\u4e00\u4e2a\u7edf\u4e00\u7684\u6846\u67b6\u4e0b\u3002\u8fd9\u8ba9\u4f7f\u7528\u8005\u65e0\u9700\u5b66\u4e60\u591a\u79cd\u5de5\u5177\u7684\u7528\u6cd5\uff0c\u901a\u8fc7\u4e00\u5957\u547d\u4ee4\u5c31\u80fd\u8c03\u7528\u4e0d\u540c\u7684\u8bc4\u6d4b\u80fd\u529b\uff0c\u5e76\u4ea7\u51fa\u6807\u51c6\u5316\u7684\u62a5\u544a\uff0c\u5927\u5927\u7b80\u5316\u4e86\u5bf9\u9f50\u5de5\u4f5c\u7684\u6d41\u7a0b\u3002<\/li>\n<li><strong>\u4f7f\u7528 AlignLab \u9700\u8981\u4ec0\u4e48\u6837\u7684\u786c\u4ef6\u914d\u7f6e\uff1f<\/strong><br \/>\n\u786c\u4ef6\u9700\u6c42\u4e3b\u8981\u53d6\u51b3\u4e8e\u4f60\u8981\u8bc4\u6d4b\u7684\u6a21\u578b\u5927\u5c0f\u3002\u5982\u679c\u8981\u8bc4\u6d4b\u50cf Llama-3.1 8B \u8fd9\u6837\u7684\u6a21\u578b\uff0c\u4f60\u9700\u8981\u4e00\u5f20\u62e5\u6709\u81f3\u5c11 24GB\u663e\u5b58\u7684\u6d88\u8d39\u7ea7\u6216\u4e13\u4e1a\u7ea7\u663e\u5361\u3002\u5bf9\u4e8e\u66f4\u5927\u89c4\u6a21\u7684\u6a21\u578b\uff0c\u5219\u9700\u8981\u66f4\u5f3a\u7684\u8ba1\u7b97\u8d44\u6e90\u3002AlignLab \u672c\u8eab\u662f\u4e00\u4e2aPython\u6846\u67b6\uff0c\u8d44\u6e90\u6d88\u8017\u4e0d\u5927\uff0c\u4e3b\u8981\u7684\u5f00\u9500\u6765\u81ea\u4e8e\u52a0\u8f7d\u548c\u8fd0\u884c\u5927\u8bed\u8a00\u6a21\u578b\u3002<\/li>\n<li><strong>\u6211\u53ef\u4ee5\u6dfb\u52a0\u81ea\u5df1\u7684\u6570\u636e\u96c6\u6216\u8bc4\u6d4b\u6807\u51c6\u5417\uff1f<\/strong><br \/>\n\u53ef\u4ee5\u3002AlignLab \u7684\u8bbe\u8ba1\u662f\u201c\u6ce8\u518c\u8868\u4f18\u5148\u201d\uff0c\u6dfb\u52a0\u4e00\u4e2a\u65b0\u7684\u57fa\u51c6\u6d4b\u8bd5\u975e\u5e38\u7b80\u5355\u3002\u4f60\u53ea\u9700\u8981\u5728<code>benchmarks\/<\/code>\u76ee\u5f55\u4e0b\u521b\u5efa\u4e00\u4e2a<code>YAML<\/code>\u914d\u7f6e\u6587\u4ef6\uff0c\u5728\u5176\u4e2d\u5b9a\u4e49\u597d\u4f60\u7684\u6570\u636e\u96c6\u6765\u6e90\uff08\u4f8b\u5982 Hugging Face Hub\uff09\u3001\u8bc4\u6d4b\u4efb\u52a1\u7c7b\u578b\u3001\u8bc4\u5224\u65b9\u5f0f\u548c\u76f8\u5173\u5143\u6570\u636e\u5373\u53ef\u3002\u8fd9\u79cd\u8bbe\u8ba1\u8ba9\u6846\u67b6\u7684\u6269\u5c55\u53d8\u5f97\u975e\u5e38\u5bb9\u6613\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>AlignLab \u662f\u4e00\u4e2a\u7531 OpenAlign \u56e2\u961f\u5f00\u53d1\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u5957\u5b8c\u6574\u7684\u6846\u67b6\u548c\u5de5\u5177\uff0c\u4e13\u95e8\u7528\u4e8e\u5bf9\u9f50\u5927\u8bed\u8a00\u6a21\u578b\u3002\u6240\u8c13\u201c\u5bf9\u9f50\u201d\uff0c\u662f\u6307\u8ba9\u6a21\u578b\u7684\u884c\u4e3a\u548c\u8f93\u51fa\u66f4\u7b26\u5408\u4eba\u7c7b\u7684\u671f\u671b\u4e0e\u4ef7\u503c\u89c2\uff0c\u4f8b\u5982\u786e\u4fdd\u5176\u5b89\u5168\u6027\u3001\u771f\u5b9e\u6027\u3001\u65e0\u504f\u89c1\u548c\u65e0\u5bb3\u6027\u3002\u968f\u7740\u5927\u6a21\u578b\u7684\u80fd&#8230;<\/p>\n","protected":false},"author":1,"featured_media":32782,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[425,496,20],"tags":[230],"class_list":["post-51137","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-professional","category-ai-basic-services","category-tool","tag-aikaiyuanxiangmu"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/51137","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/comments?post=51137"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/51137\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media\/32782"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media?parent=51137"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/categories?post=51137"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/tags?post=51137"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}