{"id":30886,"date":"2025-05-05T23:47:45","date_gmt":"2025-05-05T15:47:45","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=30886"},"modified":"2025-05-05T23:47:45","modified_gmt":"2025-05-05T15:47:45","slug":"graphgen","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/graphgen\/","title":{"rendered":"GraphGen\uff1a\u5229\u7528\u77e5\u8bc6\u56fe\u8c31\u751f\u6210\u5408\u6210\u6570\u636e\u5fae\u8c03\u8bed\u8a00\u6a21\u578b"},"content":{"rendered":"<p>GraphGen \u662f\u4e00\u4e2a\u7531\u4e0a\u6d77\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4 OpenScienceLab \u5f00\u53d1\u7684\u5f00\u6e90\u6846\u67b6\uff0c\u6258\u7ba1\u4e8e GitHub\uff0c\u4e13\u6ce8\u4e8e\u901a\u8fc7\u77e5\u8bc6\u56fe\u8c31\u6307\u5bfc\u5408\u6210\u6570\u636e\u751f\u6210\uff0c\u4f18\u5316\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u7684\u76d1\u7763\u5fae\u8c03\u3002\u5b83\u4ece\u6e90\u6587\u672c\u6784\u5efa\u7ec6\u7c92\u5ea6\u77e5\u8bc6\u56fe\u8c31\uff0c\u5229\u7528\u9884\u671f\u6821\u51c6\u8bef\u5dee\uff08ECE\uff09\u6307\u6807\u8bc6\u522b\u6a21\u578b\u77e5\u8bc6\u76f2\u70b9\uff0c\u4f18\u5148\u751f\u6210\u9488\u5bf9\u9ad8\u4ef7\u503c\u3001\u957f\u5c3e\u77e5\u8bc6\u7684\u95ee\u7b54\u5bf9\u3002GraphGen \u652f\u6301\u591a\u8df3\u90bb\u57df\u91c7\u6837\u4ee5\u6355\u83b7\u590d\u6742\u5173\u7cfb\u4fe1\u606f\uff0c\u5e76\u901a\u8fc7\u98ce\u683c\u63a7\u5236\u751f\u6210\u591a\u6837\u5316\u6570\u636e\u3002\u9879\u76ee\u91c7\u7528 Apache 2.0 \u8bb8\u53ef\u8bc1\uff0c\u4ee3\u7801\u516c\u5f00\uff0c\u9002\u7528\u4e8e\u5b66\u672f\u7814\u7a76\u548c\u5546\u4e1a\u5f00\u53d1\u3002\u7528\u6237\u53ef\u901a\u8fc7\u547d\u4ee4\u884c\u6216 Gradio \u754c\u9762\u64cd\u4f5c\uff0c\u7075\u6d3b\u914d\u7f6e\u751f\u6210\u6d41\u7a0b\uff0c\u751f\u6210\u7684\u6570\u636e\u53ef\u76f4\u63a5\u7528\u4e8e\u6a21\u578b\u8bad\u7ec3\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-30887\" title=\"GraphGen\uff1a\u5229\u7528\u77e5\u8bc6\u56fe\u8c31\u751f\u6210\u5408\u6210\u6570\u636e\u5fae\u8c03\u8bed\u8a00\u6a21\u578b-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/08713dc42f968d2.png\" alt=\"GraphGen\uff1a\u5229\u7528\u77e5\u8bc6\u56fe\u8c31\u751f\u6210\u5408\u6210\u6570\u636e\u5fae\u8c03\u8bed\u8a00\u6a21\u578b-1\" width=\"1045\" height=\"752\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/08713dc42f968d2.png 1045w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/08713dc42f968d2-768x553.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/08713dc42f968d2-18x12.png 18w\" sizes=\"auto, (max-width: 1045px) 100vw, 1045px\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-30888\" title=\"GraphGen\uff1a\u5229\u7528\u77e5\u8bc6\u56fe\u8c31\u751f\u6210\u5408\u6210\u6570\u636e\u5fae\u8c03\u8bed\u8a00\u6a21\u578b-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/2876839d7f69251.jpg\" alt=\"GraphGen\uff1a\u5229\u7528\u77e5\u8bc6\u56fe\u8c31\u751f\u6210\u5408\u6210\u6570\u636e\u5fae\u8c03\u8bed\u8a00\u6a21\u578b-1\" width=\"1280\" height=\"786\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/2876839d7f69251.jpg 1280w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/2876839d7f69251-768x472.jpg 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/2876839d7f69251-18x12.jpg 18w\" sizes=\"auto, (max-width: 1280px) 100vw, 1280px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u6784\u5efa\u7ec6\u7c92\u5ea6\u77e5\u8bc6\u56fe\u8c31\uff1a\u4ece\u6587\u672c\u4e2d\u63d0\u53d6\u5b9e\u4f53\u548c\u5173\u7cfb\uff0c\u751f\u6210\u7ed3\u6784\u5316\u77e5\u8bc6\u56fe\u8c31\u3002<\/li>\n<li>\u8bc6\u522b\u77e5\u8bc6\u76f2\u70b9\uff1a\u57fa\u4e8e\u9884\u671f\u6821\u51c6\u8bef\u5dee\uff08ECE\uff09\u6307\u6807\uff0c\u5b9a\u4f4d\u8bed\u8a00\u6a21\u578b\u7684\u77e5\u8bc6\u8584\u5f31\u70b9\u3002<\/li>\n<li>\u751f\u6210\u9ad8\u4ef7\u503c\u95ee\u7b54\u5bf9\uff1a\u4f18\u5148\u751f\u6210\u9488\u5bf9\u957f\u5c3e\u77e5\u8bc6\u7684\u95ee\u7b54\u6570\u636e\uff0c\u63d0\u5347\u6a21\u578b\u8868\u73b0\u3002<\/li>\n<li>\u591a\u8df3\u90bb\u57df\u91c7\u6837\uff1a\u6355\u83b7\u77e5\u8bc6\u56fe\u8c31\u4e2d\u7684\u591a\u7ea7\u5173\u7cfb\uff0c\u589e\u5f3a\u6570\u636e\u590d\u6742\u6027\u3002<\/li>\n<li>\u98ce\u683c\u63a7\u5236\u751f\u6210\uff1a\u652f\u6301\u591a\u6837\u5316\u95ee\u7b54\u98ce\u683c\uff0c\u5982\u7b80\u6d01\u6216\u8be6\u7ec6\uff0c\u9002\u5e94\u4e0d\u540c\u573a\u666f\u3002<\/li>\n<li>\u81ea\u5b9a\u4e49\u914d\u7f6e\uff1a\u901a\u8fc7 YAML \u6587\u4ef6\u8c03\u6574\u6570\u636e\u7c7b\u578b\u3001\u8f93\u5165\u6587\u4ef6\u548c\u8f93\u51fa\u8def\u5f84\u3002<\/li>\n<li>Gradio \u754c\u9762\u652f\u6301\uff1a\u63d0\u4f9b\u53ef\u89c6\u5316\u754c\u9762\uff0c\u7b80\u5316\u6570\u636e\u751f\u6210\u64cd\u4f5c\u3002<\/li>\n<li>\u6a21\u578b\u517c\u5bb9\u6027\uff1a\u652f\u6301\u591a\u79cd\u8bed\u8a00\u6a21\u578b\uff08\u5982 Qwen\u3001OpenAI\uff09\u8fdb\u884c\u6570\u636e\u751f\u6210\u548c\u8bad\u7ec3\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>GraphGen \u662f\u4e00\u4e2a Python \u9879\u76ee\uff0c\u652f\u6301\u4ece PyPI \u5b89\u88c5\u6216\u6e90\u7801\u8fd0\u884c\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u5b89\u88c5\u6b65\u9aa4\uff1a<\/p>\n<h4>\u4ece PyPI \u5b89\u88c5<\/h4>\n<ol>\n<li><strong>\u5b89\u88c5 GraphGen<\/strong><br \/>\n\u786e\u4fdd Python \u7248\u672c\u4e3a 3.8 \u6216\u66f4\u9ad8\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<pre><code>pip install graphg<\/code><\/pre>\n<\/li>\n<\/ol>\n<ol start=\"2\">\n<li><strong>\u914d\u7f6e\u73af\u5883\u53d8\u91cf<\/strong><br \/>\nGraphGen \u9700\u8981\u8c03\u7528\u8bed\u8a00\u6a21\u578b API\uff08\u5982 Qwen \u6216 OpenAI\uff09\u3002\u5728\u7ec8\u7aef\u8bbe\u7f6e\u73af\u5883\u53d8\u91cf\uff1a<\/p>\n<pre><code>export SYNTHESIZER_MODEL=\"your_synthesizer_model_name\"\r\nexport SYNTHESIZER_BASE_URL=\"your_base_url\"\r\nexport SYNTHESIZER_API_KEY=\"your_api_key\"\r\nexport TRAINEE_MODEL=\"your_trainee_model_name\"\r\nexport TRAINEE_BASE_URL=\"your_base_url\"\r\nexport TRAINEE_API_KEY=\"your_api_key\"\r\n<\/code><\/pre>\n<ul>\n<li><code>SYNTHESIZER_MODEL<\/code>\uff1a\u7528\u4e8e\u751f\u6210\u77e5\u8bc6\u56fe\u8c31\u548c\u6570\u636e\u7684\u6a21\u578b\u3002<\/li>\n<li><code>TRAINEE_MODEL<\/code>\uff1a\u7528\u4e8e\u8bad\u7ec3\u7684\u6a21\u578b\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u8fd0\u884c\u547d\u4ee4\u884c\u5de5\u5177<\/strong><br \/>\n\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4\u751f\u6210\u6570\u636e\uff1a<\/p>\n<pre><code>graphg --output_dir cache\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h4>\u4ece\u6e90\u7801\u5b89\u88c5<\/h4>\n<ol>\n<li><strong>\u514b\u9686\u4ed3\u5e93<\/strong><br \/>\n\u514b\u9686 GraphGen \u4ed3\u5e93\u5230\u672c\u5730\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/open-sciencelab\/GraphGen.git\r\ncd GraphGen\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u521b\u5efa\u865a\u62df\u73af\u5883<\/strong><br \/>\n\u521b\u5efa\u5e76\u6fc0\u6d3b\u865a\u62df\u73af\u5883\uff1a<\/p>\n<pre><code>python -m venv venv\r\nsource venv\/bin\/activate  # Linux\/Mac\r\nvenv\\Scripts\\activate     # Windows\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong><br \/>\n\u5b89\u88c5\u9879\u76ee\u4f9d\u8d56\uff1a<\/p>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<p>\u786e\u4fdd\u5b89\u88c5 PyTorch\uff08\u63a8\u8350 1.13.1 \u6216\u66f4\u9ad8\uff09\u53ca\u76f8\u5173\u5e93\uff08\u5982 LiteLLM\u3001DSPy\uff09\u3002\u82e5\u4f7f\u7528 GPU\uff0c\u5b89\u88c5 CUDA \u517c\u5bb9\u7248\u672c\uff1a<\/p>\n<pre><code>pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 --extra-index-url https:\/\/download.pytorch.org\/whl\/cu117\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u914d\u7f6e\u73af\u5883\u53d8\u91cf<\/strong><br \/>\n\u590d\u5236\u793a\u4f8b\u73af\u5883\u6587\u4ef6\u5e76\u7f16\u8f91\uff1a<\/p>\n<pre><code>cp .env.example .env\r\n<\/code><\/pre>\n<p>\u5728\u00a0<code>.env<\/code>\u00a0\u6587\u4ef6\u4e2d\u8bbe\u7f6e\u6a21\u578b\u76f8\u5173\u4fe1\u606f\uff1a<\/p>\n<pre><code>SYNTHESIZER_MODEL=your_synthesizer_model_name\r\nSYNTHESIZER_BASE_URL=your_base_url\r\nSYNTHESIZER_API_KEY=your_api_key\r\nTRAINEE_MODEL=your_trainee_model_name\r\nTRAINEE_BASE_URL=your_base_url\r\nTRAINEE_API_KEY=your_api_key\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u51c6\u5907\u8f93\u5165\u6570\u636e<\/strong><br \/>\nGraphGen \u9700\u8981 JSONL \u683c\u5f0f\u7684\u8f93\u5165\u6587\u672c\u3002\u793a\u4f8b\u6570\u636e\u4f4d\u4e8e\u00a0<code>resources\/examples\/raw_demo.jsonl<\/code>\u3002\u7528\u6237\u53ef\u51c6\u5907\u81ea\u5b9a\u4e49\u6570\u636e\uff0c\u786e\u4fdd\u683c\u5f0f\u4e00\u81f4\u3002<\/li>\n<\/ol>\n<h3>\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<p>GraphGen \u652f\u6301\u547d\u4ee4\u884c\u548c Gradio \u754c\u9762\u4e24\u79cd\u64cd\u4f5c\u65b9\u5f0f\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\uff1a<\/p>\n<h4>\u547d\u4ee4\u884c\u64cd\u4f5c<\/h4>\n<ol>\n<li><strong>\u4fee\u6539\u914d\u7f6e\u6587\u4ef6<\/strong><br \/>\n\u7f16\u8f91\u00a0<code>configs\/graphgen_config.yaml<\/code>\u00a0\u6587\u4ef6\uff0c\u8bbe\u7f6e\u6570\u636e\u751f\u6210\u53c2\u6570\uff1a<\/p>\n<pre><code>data_type: \"raw\"\r\ninput_file: \"resources\/examples\/raw_demo.jsonl\"\r\noutput_dir: \"cache\"\r\nece_threshold: 0.1\r\nsampling_hops: 2\r\nstyle: \"detailed\"\r\n<\/code><\/pre>\n<ul>\n<li><code>data_type<\/code>\uff1a\u8f93\u5165\u6570\u636e\u7c7b\u578b\uff08\u5982\u00a0<code>raw<\/code>\uff09\u3002<\/li>\n<li><code>input_file<\/code>\uff1a\u8f93\u5165\u6587\u4ef6\u8def\u5f84\u3002<\/li>\n<li><code>output_dir<\/code>\uff1a\u8f93\u51fa\u76ee\u5f55\u3002<\/li>\n<li><code>ece_threshold<\/code>\uff1a\u77e5\u8bc6\u76f2\u70b9\u8bc6\u522b\u7684 ECE \u9608\u503c\u3002<\/li>\n<li><code>sampling_hops<\/code>\uff1a\u591a\u8df3\u91c7\u6837\u6df1\u5ea6\u3002<\/li>\n<li><code>style<\/code>\uff1a\u95ee\u7b54\u751f\u6210\u98ce\u683c\uff08\u5982\u00a0<code>detailed<\/code>\u00a0\u6216\u00a0<code>concise<\/code>\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u8fd0\u884c\u751f\u6210\u811a\u672c<\/strong><br \/>\n\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4\u751f\u6210\u6570\u636e\uff1a<\/p>\n<pre><code>bash scripts\/generate.sh\r\n<\/code><\/pre>\n<p>\u6216\u76f4\u63a5\u8fd0\u884c Python \u811a\u672c\uff1a<\/p>\n<pre><code>python -m graphg --config configs\/graphgen_config.yaml\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u67e5\u770b\u751f\u6210\u7ed3\u679c<\/strong><br \/>\n\u751f\u6210\u7684\u95ee\u7b54\u5bf9\u4fdd\u5b58\u5728\u00a0<code>cache\/data\/graphgen<\/code>\u00a0\u76ee\u5f55\u4e0b\uff0c\u683c\u5f0f\u4e3a JSONL \u6587\u4ef6\uff1a<\/p>\n<pre><code>ls cache\/data\/graphgen\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h4>Gradio \u754c\u9762\u64cd\u4f5c<\/h4>\n<ol>\n<li><strong>\u542f\u52a8 Gradio \u754c\u9762<\/strong><br \/>\n\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u542f\u52a8\u53ef\u89c6\u5316\u754c\u9762\uff1a<\/p>\n<pre><code>python webui\/app.py\r\n<\/code><\/pre>\n<p>\u6d4f\u89c8\u5668\u5c06\u6253\u5f00 Gradio \u754c\u9762\uff0c\u663e\u793a\u6570\u636e\u751f\u6210\u6d41\u7a0b\u3002<\/li>\n<li><strong>\u64cd\u4f5c\u6d41\u7a0b<\/strong>\n<ul>\n<li>\u5728\u754c\u9762\u4e2d\u4e0a\u4f20 JSONL \u683c\u5f0f\u7684\u8f93\u5165\u6587\u4ef6\u3002<\/li>\n<li>\u914d\u7f6e\u751f\u6210\u53c2\u6570\uff08\u5982 ECE \u9608\u503c\u3001\u91c7\u6837\u6df1\u5ea6\u3001\u751f\u6210\u98ce\u683c\uff09\u3002<\/li>\n<li>\u70b9\u51fb\u201c\u751f\u6210\u201d\u6309\u94ae\uff0c\u7cfb\u7edf\u5c06\u5904\u7406\u8f93\u5165\u5e76\u8f93\u51fa\u95ee\u7b54\u5bf9\u3002<\/li>\n<li>\u4e0b\u8f7d\u751f\u6210\u7684 JSONL \u6587\u4ef6\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h4>\u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/h4>\n<ul>\n<li><strong>\u77e5\u8bc6\u56fe\u8c31\u6784\u5efa<\/strong>\uff1aGraphGen \u81ea\u52a8\u4ece\u8f93\u5165\u6587\u672c\u63d0\u53d6\u5b9e\u4f53\u548c\u5173\u7cfb\uff0c\u751f\u6210\u77e5\u8bc6\u56fe\u8c31\uff0c\u4fdd\u5b58\u4e3a JSON \u683c\u5f0f\u3002\u7528\u6237\u65e0\u9700\u624b\u52a8\u5e72\u9884\u3002<\/li>\n<li><strong>\u77e5\u8bc6\u76f2\u70b9\u8bc6\u522b<\/strong>\uff1a\u901a\u8fc7 ECE \u6307\u6807\u5206\u6790\u6a21\u578b\u9884\u6d4b\u504f\u5dee\uff0c\u751f\u6210\u9488\u5bf9\u6027\u95ee\u7b54\u5bf9\u3002\u8c03\u6574\u00a0<code>ece_threshold<\/code>\u00a0\u63a7\u5236\u76f2\u70b9\u7b5b\u9009\u4e25\u683c\u7a0b\u5ea6\u3002<\/li>\n<li><strong>\u591a\u8df3\u90bb\u57df\u91c7\u6837<\/strong>\uff1a\u6355\u83b7\u77e5\u8bc6\u56fe\u8c31\u4e2d\u7684\u591a\u7ea7\u5173\u7cfb\uff0c\u751f\u6210\u590d\u6742\u95ee\u7b54\u5bf9\u3002\u8bbe\u7f6e\u00a0<code>sampling_hops<\/code>\u00a0\u63a7\u5236\u91c7\u6837\u6df1\u5ea6\u3002<\/li>\n<li><strong>\u98ce\u683c\u63a7\u5236\u751f\u6210<\/strong>\uff1a\u652f\u6301\u591a\u79cd\u95ee\u7b54\u98ce\u683c\uff0c\u9002\u7528\u4e8e\u4e0d\u540c\u573a\u666f\u3002\u7528\u6237\u53ef\u901a\u8fc7\u00a0<code>style<\/code>\u00a0\u53c2\u6570\u9009\u62e9\u98ce\u683c\u3002<\/li>\n<\/ul>\n<h4>\u8bad\u7ec3\u6a21\u578b<\/h4>\n<p>\u751f\u6210\u7684\u6570\u636e\u53ef\u7528\u4e8e\u76d1\u7763\u5fae\u8c03\uff08SFT\uff09\u3002\u5c06\u8f93\u51fa\u6587\u4ef6\u5bfc\u5165\u652f\u6301 SFT \u7684\u6846\u67b6\uff08\u5982 XTuner\uff09\uff1a<\/p>\n<pre><code>xtuner train --data cache\/data\/graphgen\/output.jsonl --model qwen-7b\r\n<\/code><\/pre>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li>\u786e\u4fdd API \u5bc6\u94a5\u548c\u7f51\u7edc\u8fde\u63a5\u7a33\u5b9a\uff0c\u751f\u6210\u8fc7\u7a0b\u9700\u8c03\u7528\u5916\u90e8\u6a21\u578b\u3002<\/li>\n<li>\u8f93\u5165\u6570\u636e\u9700\u7b26\u5408 JSONL \u683c\u5f0f\uff0c\u53c2\u8003\u00a0<code>raw_demo.jsonl<\/code>\u3002<\/li>\n<li>\u5927\u89c4\u6a21\u6570\u636e\u751f\u6210\u5efa\u8bae\u4f7f\u7528 GPU \u8bbe\u5907\uff0c\u4f18\u5316\u6027\u80fd\u3002<\/li>\n<li>\u68c0\u67e5\u4f9d\u8d56\u7248\u672c\uff0c\u907f\u514d\u51b2\u7a81\u3002\u5fc5\u8981\u65f6\u66f4\u65b0\u00a0<code>requirements.txt<\/code>\u3002<\/li>\n<\/ul>\n<h3>\u8865\u5145\u8d44\u6e90<\/h3>\n<ul>\n<li><strong>OpenXLab \u5e94\u7528\u4e2d\u5fc3<\/strong>\uff1a\u7528\u6237\u53ef\u901a\u8fc7\u00a0<a href=\"https:\/\/g-app-center-000704-6802-aerppvq.openxlab.space\/\">OpenXLab<\/a>\u00a0\u4f53\u9a8c GraphGen\u3002<\/li>\n<li><strong>\u5b98\u65b9 FAQ<\/strong>\uff1a\u53c2\u8003 GitHub \u4e0a\u7684\u00a0<a href=\"https:\/\/github.com\/open-sciencelab\/GraphGen\/issues\/10\">FAQ<\/a>\u00a0\u89e3\u51b3\u5e38\u89c1\u95ee\u9898\u3002<\/li>\n<li><strong>\u6280\u672f\u5206\u6790<\/strong>\uff1aDeepWiki \u63d0\u4f9b\u00a0<a href=\"https:\/\/deepwiki.com\/open-sciencelab\/GraphGen\">\u7cfb\u7edf\u67b6\u6784\u5206\u6790<\/a>\uff0c\u8be6\u7ec6\u4ecb\u7ecd GraphGen \u7684\u5de5\u4f5c\u6d41\u7a0b\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\u5229\u7528 GraphGen \u751f\u6210\u4e13\u4e1a\u9886\u57df\u7684\u95ee\u7b54\u6570\u636e\u3002\u4f8b\u5982\uff0c\u4e3a\u5316\u5b66\u6216\u533b\u5b66\u9886\u57df\u6a21\u578b\u751f\u6210\u8bad\u7ec3\u6570\u636e\uff0c\u63d0\u5347\u6a21\u578b\u7684\u77e5\u8bc6\u8986\u76d6\u7387\u3002<\/li>\n<li><strong>\u4f01\u4e1a AI \u4f18\u5316<\/strong><br \/>\n\u4f01\u4e1a\u53ef\u4f7f\u7528 GraphGen \u4e3a\u5ba2\u670d\u6216\u63a8\u8350\u7cfb\u7edf\u751f\u6210\u5b9a\u5236\u5316\u95ee\u7b54\u5bf9\uff0c\u4f18\u5316\u5bf9\u8bdd\u6a21\u578b\u7684\u54cd\u5e94\u80fd\u529b\u3002<\/li>\n<li><strong>\u6559\u80b2\u5e73\u53f0\u5f00\u53d1<\/strong><br \/>\n\u5f00\u53d1\u8005\u53ef\u751f\u6210\u591a\u6837\u5316\u6559\u5b66\u95ee\u7b54\u6570\u636e\uff0c\u6784\u5efa\u667a\u80fd\u6559\u80b2\u5de5\u5177\uff0c\u652f\u6301\u4e2a\u6027\u5316\u5b66\u4e60\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>GraphGen \u652f\u6301\u54ea\u4e9b\u6a21\u578b\uff1f<\/strong><br \/>\nGraphGen \u901a\u8fc7 LiteLLM \u652f\u6301 OpenAI\u3001Qwen\u3001Ollama \u7b49\u6a21\u578b\u3002\u9700\u63d0\u4f9b\u6a21\u578b API \u5bc6\u94a5\u548c\u5730\u5740\u3002<\/li>\n<li><strong>\u5982\u4f55\u51c6\u5907\u8f93\u5165\u6570\u636e\uff1f<\/strong><br \/>\n\u8f93\u5165\u6570\u636e\u9700\u4e3a JSONL \u683c\u5f0f\uff0c\u6bcf\u884c\u5305\u542b\u6587\u672c\u5185\u5bb9\u3002\u53c2\u8003\u00a0<code>resources\/examples\/raw_demo.jsonl<\/code>\u3002<\/li>\n<li><strong>\u751f\u6210\u6570\u636e\u9700\u8981\u591a\u957f\u65f6\u95f4\uff1f<\/strong><br \/>\n\u5c0f\u89c4\u6a21\u6570\u636e\uff08100 \u6761\uff09\u9700\u51e0\u5206\u949f\uff0c\u5927\u89c4\u6a21\u6570\u636e\u53ef\u80fd\u9700\u6570\u5c0f\u65f6\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u8f93\u5165\u91cf\u548c\u786c\u4ef6\u6027\u80fd\u3002<\/li>\n<li><strong>Gradio \u754c\u9762\u5982\u4f55\u4f7f\u7528\uff1f<\/strong><br \/>\n\u8fd0\u884c\u00a0<code>python webui\/app.py<\/code>\uff0c\u901a\u8fc7\u6d4f\u89c8\u5668\u4e0a\u4f20\u8f93\u5165\u6587\u4ef6\uff0c\u914d\u7f6e\u53c2\u6570\u540e\u751f\u6210\u6570\u636e\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>GraphGen \u662f\u4e00\u4e2a\u7531\u4e0a\u6d77\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4 OpenScienceLab \u5f00\u53d1\u7684\u5f00\u6e90\u6846\u67b6\uff0c\u6258\u7ba1\u4e8e GitHub\uff0c\u4e13\u6ce8\u4e8e\u901a\u8fc7\u77e5\u8bc6\u56fe\u8c31\u6307\u5bfc\u5408\u6210\u6570\u636e\u751f\u6210\uff0c\u4f18\u5316\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u7684\u76d1\u7763\u5fae\u8c03\u3002\u5b83\u4ece\u6e90\u6587\u672c\u6784\u5efa\u7ec6\u7c92\u5ea6\u77e5\u8bc6\u56fe\u8c31\uff0c\u5229\u7528\u9884\u671f\u6821\u51c6\u8bef\u5dee\uff08ECE&#8230;<\/p>\n","protected":false},"author":1,"featured_media":62323,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[230,365,260],"class_list":["post-30886","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aikaiyuanxiangmu","tag-damoxingweidiao","tag-zhishitupu"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/30886","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/comments?post=30886"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/30886\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media\/62323"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media?parent=30886"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/categories?post=30886"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/tags?post=30886"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}