{"id":16006,"date":"2024-12-19T18:00:27","date_gmt":"2024-12-19T10:00:27","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=16006"},"modified":"2025-08-25T00:55:10","modified_gmt":"2025-08-24T16:55:10","slug":"outlines","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/outlines\/","title":{"rendered":"Outlines\uff1a\u901a\u8fc7\u6b63\u5219\u8868\u8fbe\u5f0f\u3001JSON\u6216Pydantic\u6a21\u578b\u751f\u6210\u7ed3\u6784\u5316\u6587\u672c\u8f93\u51fa"},"content":{"rendered":"<p>Outlines \u662f\u4e00\u4e2a\u7531 dottxt-ai \u5f00\u53d1\u7684\u5f00\u6e90\u5e93\uff0c\u65e8\u5728\u901a\u8fc7\u7ed3\u6784\u5316\u6587\u672c\u751f\u6210\u6765\u63d0\u5347\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u7684\u5e94\u7528\u80fd\u529b\u3002\u8be5\u5e93\u652f\u6301\u591a\u79cd\u6a21\u578b\u96c6\u6210\uff0c\u5305\u62ec OpenAI\u3001transformers\u3001llama.cpp \u7b49\uff0c\u63d0\u4f9b\u7b80\u5355\u800c\u5f3a\u5927\u7684\u63d0\u793a\u539f\u8bed\uff0c\u57fa\u4e8e Jinja \u6a21\u677f\u5f15\u64ce\u3002Outlines \u5141\u8bb8\u7528\u6237\u901a\u8fc7\u6b63\u5219\u8868\u8fbe\u5f0f\u3001JSON \u6a21\u5f0f\u6216 Pydantic \u6a21\u578b\u8fdb\u884c\u5feb\u901f\u751f\u6210\uff0c\u5e76\u652f\u6301\u591a\u79cd\u91c7\u6837\u7b97\u6cd5\uff0c\u5982\u8d2a\u5a6a\u7b97\u6cd5\u3001\u591a\u9879\u5f0f\u91c7\u6837\u548c\u675f\u641c\u7d22\u3002\u8be5\u9879\u76ee\u8fd8\u63d0\u4f9b\u4e86\u7f13\u5b58\u751f\u6210\u3001\u6279\u91cf\u63a8\u7406\u7b49\u529f\u80fd\uff0c\u65e8\u5728\u63d0\u9ad8\u6a21\u578b\u7684\u63a8\u7406\u901f\u5ea6\u548c\u6027\u80fd\u3002Outlines \u5df2\u88ab\u4e3b\u6d41\u63a8\u7406\u6846\u67b6\uff08\u5982 VLLM\u3001TGI\uff09\u7528\u4e8e\u51fd\u6570\u8c03\u7528\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-16007\" title=\"Outlines\uff1a\u901a\u8fc7\u6b63\u5219\u8868\u8fbe\u5f0f\u3001JSON\u6216Pydantic\u6a21\u578b\u751f\u6210\u7ed3\u6784\u5316\u6587\u672c\u8f93\u51fa-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2024\/12\/b4170595fe65682.png\" alt=\"Outlines\uff1a\u901a\u8fc7\u6b63\u5219\u8868\u8fbe\u5f0f\u3001JSON\u6216Pydantic\u6a21\u578b\u751f\u6210\u7ed3\u6784\u5316\u6587\u672c\u8f93\u51fa-1\" width=\"744\" height=\"428\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2024\/12\/b4170595fe65682.png 744w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2024\/12\/b4170595fe65682-300x173.png 300w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2024\/12\/b4170595fe65682-18x10.png 18w\" sizes=\"auto, (max-width: 744px) 100vw, 744px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u591a\u6a21\u578b\u96c6\u6210\uff1a\u652f\u6301 OpenAI\u3001transformers\u3001llama.cpp \u7b49\u6a21\u578b<\/li>\n<li>\u7b80\u5355\u800c\u5f3a\u5927\u7684\u63d0\u793a\u539f\u8bed\uff1a\u57fa\u4e8e Jinja \u6a21\u677f\u5f15\u64ce<\/li>\n<li>\u6b63\u5219\u8868\u8fbe\u5f0f\u7ed3\u6784\u751f\u6210\uff1a\u5feb\u901f\u751f\u6210\u7b26\u5408\u6b63\u5219\u8868\u8fbe\u5f0f\u7684\u6587\u672c<\/li>\n<li>JSON \u751f\u6210\uff1a\u6839\u636e JSON \u6a21\u5f0f\u6216 Pydantic \u6a21\u578b\u751f\u6210\u6587\u672c<\/li>\n<li>\u8bed\u6cd5\u7ed3\u6784\u751f\u6210\uff1a\u652f\u6301\u5faa\u73af\u3001\u6761\u4ef6\u548c\u81ea\u5b9a\u4e49 Python \u51fd\u6570\u7684\u751f\u6210<\/li>\n<li>\u751f\u6210\u7f13\u5b58\uff1a\u7f13\u5b58\u751f\u6210\u7ed3\u679c\uff0c\u63d0\u9ad8\u6548\u7387<\/li>\n<li>\u6279\u91cf\u63a8\u7406\uff1a\u652f\u6301\u6279\u91cf\u5904\u7406\uff0c\u63d0\u9ad8\u63a8\u7406\u901f\u5ea6<\/li>\n<li>\u591a\u79cd\u91c7\u6837\u7b97\u6cd5\uff1a\u652f\u6301\u8d2a\u5a6a\u3001\u591a\u9879\u5f0f\u548c\u675f\u641c\u7d22\u7b49\u91c7\u6837\u7b97\u6cd5<\/li>\n<li>Docker \u652f\u6301\uff1a\u63d0\u4f9b\u5b98\u65b9 Docker \u955c\u50cf\uff0c\u65b9\u4fbf\u90e8\u7f72<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<ol>\n<li>\u786e\u4fdd\u5df2\u5b89\u88c5 Python \u73af\u5883\u3002<\/li>\n<li>\u4f7f\u7528 pip \u5b89\u88c5 Outlines\uff1a<\/li>\n<\/ol>\n<pre><code>   pip install outlines\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li>\u5982\u679c\u9700\u8981\u4f7f\u7528 Rust \u7248\u672c\u7684\u6838\u5fc3\u529f\u80fd\uff0c\u53ef\u4ee5\u5b89\u88c5 outlines-core\uff1a<\/li>\n<\/ol>\n<pre><code>   pip install outlines-core\r\n<\/code><\/pre>\n<h3>\u4f7f\u7528\u6307\u5357<\/h3>\n<h4>\u57fa\u672c\u4f7f\u7528<\/h4>\n<ol>\n<li>\u5bfc\u5165 Outlines \u5e93\uff1a<\/li>\n<\/ol>\n<pre><code>   import outlines\r\n<\/code><\/pre>\n<ol start=\"2\">\n<li>\u9009\u62e9\u5e76\u52a0\u8f7d\u6a21\u578b\uff1a<\/li>\n<\/ol>\n<pre><code>   model = outlines.models.transformers(\"openai\/gpt-3.5-turbo\")\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li>\u521b\u5efa\u63d0\u793a\u5e76\u751f\u6210\u6587\u672c\uff1a<\/li>\n<\/ol>\n<pre><code>   prompt = \"\u751f\u6210\u4e00\u4e2a\u5173\u4e8eAI\u6280\u672f\u7684\u7b80\u77ed\u4ecb\u7ecd\u3002\"\r\ngenerated_text = model.generate(prompt)\r\nprint(generated_text)\r\n<\/code><\/pre>\n<h4>\u9ad8\u7ea7\u529f\u80fd<\/h4>\n<ol>\n<li>\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u751f\u6210\u7ed3\u6784\u5316\u6587\u672c\uff1a<\/li>\n<\/ol>\n<pre><code>   import outlines\r\ngenerator = outlines.generate.regex(\"^[A-Z][a-z]+$\")\r\nresult = generator(\"\u751f\u6210\u4e00\u4e2a\u7b26\u5408\u6b63\u5219\u8868\u8fbe\u5f0f\u7684\u5355\u8bcd\")\r\nprint(result)\r\n<\/code><\/pre>\n<ol start=\"2\">\n<li>\u4f7f\u7528 JSON \u6a21\u5f0f\u751f\u6210\u6587\u672c\uff1a<\/li>\n<\/ol>\n<pre><code>   import outlines\r\nfrom pydantic import BaseModel\r\nclass Person(BaseModel):\r\nname: str\r\nage: int\r\ngenerator = outlines.generate.json(Person)\r\nresult = generator({\"name\": \"Alice\", \"age\": 30})\r\nprint(result)\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li>\u4f7f\u7528\u591a\u79cd\u91c7\u6837\u7b97\u6cd5\uff1a<\/li>\n<\/ol>\n<pre><code>   import outlines\r\ngenerator = outlines.generate.choice(model, [\"\u9009\u98791\", \"\u9009\u98792\", \"\u9009\u98793\"])\r\nresult = generator(\"\u8bf7\u9009\u62e9\u4e00\u4e2a\u9009\u9879\uff1a\")\r\nprint(result)\r\n<\/code><\/pre>\n<ol start=\"4\">\n<li>\u90e8\u7f72 Docker \u955c\u50cf\uff1a<\/li>\n<\/ol>\n<pre><code>   docker pull outlinesdev\/outlines\r\ndocker run -p 8000:8000 outlinesdev\/outlines\r\n<\/code><\/pre>\n<h3>\u5e38\u89c1\u95ee\u9898<\/h3>\n<ul>\n<li><strong>\u5982\u4f55\u63d0\u9ad8\u751f\u6210\u901f\u5ea6\uff1f<\/strong> \u4f7f\u7528\u6279\u91cf\u63a8\u7406\u548c\u751f\u6210\u7f13\u5b58\u529f\u80fd\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u751f\u6210\u901f\u5ea6\u3002<\/li>\n<li><strong>\u5982\u4f55\u96c6\u6210\u81ea\u5b9a\u4e49\u51fd\u6570\uff1f<\/strong> \u53ef\u4ee5\u5728\u751f\u6210\u8fc7\u7a0b\u4e2d\u4f7f\u7528\u81ea\u5b9a\u4e49 Python \u51fd\u6570\u6765\u5904\u7406\u590d\u6742\u903b\u8f91\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u5927\u6a21\u578b\u7684\u975e\u7ed3\u6784\u5316\u8f93\u51fa\u5e26\u6765\u7684\u95ee\u9898<\/h2>\n<h3>\u95ee\u9898<\/h3>\n<p>\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u5177\u6709\u5f3a\u5927\u7684\u6587\u672c\u751f\u6210\u80fd\u529b\uff0c\u4f46\u5728\u751f\u6210\u7ed3\u6784\u5316\u6570\u636e\u65f6\u8868\u73b0\u4e0d\u591f\u53ef\u9760\u3002\u8fd9\u5bf9\u4ee5 Agent \u4e3a\u6838\u5fc3\u7684 AI \u5e94\u7528\u9020\u6210\u4e86\u4e25\u91cd\u7684\u56f0\u6270\u3002<\/p>\n<h4>\u6838\u5fc3\u95ee\u9898<\/h4>\n<ul>\n<li><strong>\u8f93\u51fa\u4e0d\u4e00\u81f4\u6027<\/strong>\uff1a\u5f53\u4ece\u90ae\u4ef6\u4e2d\u63d0\u53d6\u822a\u73ed\u4fe1\u606f\u65f6\uff0c\u7406\u60f3\u60c5\u51b5\u662f\u8f93\u51fa\u4e00\u81f4\u7684 JSON \u5bf9\u8c61\uff0c\u4f46 LLM \u5f80\u5f80\u5931\u8d25\uff0c\u5bfc\u81f4\u8bf8\u5982 &#8220;JSON decode errors&#8221; \u7684\u95ee\u9898\u3002<\/li>\n<li><strong>\u7f3a\u4e4f\u53ef\u9760\u6027<\/strong>\uff1a\u8fd9\u79cd\u4e0d\u53ef\u9884\u6d4b\u6027\u4f7f\u5f97\u57fa\u4e8e LLM \u6784\u5efa\u590d\u6742\u6a21\u5757\u5316\u7cfb\u7edf\u53d8\u5f97\u56f0\u96be\u3002<\/li>\n<\/ul>\n<h4>\u5f71\u54cd<\/h4>\n<p>\u6ca1\u6709\u53ef\u9760\u7684\u7ed3\u6784\u5316\u8f93\u51fa\uff0c\u5f00\u53d1\u8005\u9700\u8981\u901a\u8fc7\u7e41\u7410\u7684\u540e\u5904\u7406\uff08\u5982\u6b63\u5219\u8868\u8fbe\u5f0f\uff09\u63d0\u53d6\u4fe1\u606f\uff0c\u5bfc\u81f4\u5f00\u53d1\u6548\u7387\u4f4e\u4e0b\u4e14\u6613\u51fa\u9519\u3002<\/p>\n<h3>\u7ed3\u6784\u5316\u8f93\u51fa\u7684\u597d\u5904<\/h3>\n<h4>\u6570\u636e\u7684\u666e\u904d\u7ed3\u6784\u6027<\/h4>\n<p>\u5373\u4f7f\u662f\u770b\u4f3c\u65e0\u7ed3\u6784\u7684\u6570\u636e\uff08\u5982 GSM \u6570\u636e\u96c6\uff09\uff0c\u4e5f\u5e38\u5e38\u6709\u5185\u5728\u7684\u7ed3\u6784\u53ef\u5229\u7528\u3002<\/p>\n<h4>\u4fdd\u8bc1\u8f93\u51fa\u683c\u5f0f<\/h4>\n<p>\u901a\u8fc7\u5b9a\u4e49\u7279\u5b9a\u7684\u7ed3\u6784\uff08\u5982 JSON \u6216\u6b63\u5219\u8868\u8fbe\u5f0f\uff09\uff0c\u53ef\u4ee5\u4fdd\u8bc1\u8f93\u51fa\u7684\u6709\u6548\u6027\uff0c\u907f\u514d\u7e41\u7410\u7684\u540e\u5904\u7406\u3002<\/p>\n<h4>\u63d0\u5347\u6027\u80fd\u4e0e\u6548\u7387<\/h4>\n<ul>\n<li><strong>\u63d0\u5347 JSON \u6709\u6548\u7387<\/strong>\uff1a\u4f7f\u7528\u7ed3\u6784\u5316\u751f\u6210\u540e\uff0cJSON \u6709\u6548\u7387\u4ece 17.7% \u63d0\u5347\u81f3 99.9%\u3002<\/li>\n<li><strong>\u51cf\u5c11\u793a\u4f8b\u9700\u6c42<\/strong>\uff1a\u5728 GSM8K \u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0c\u4e00\u6b21\u6027\u7ed3\u6784\u5316\u751f\u6210\u7684\u6027\u80fd\u51e0\u4e4e\u4e0e\u516b\u6b21\u975e\u7ed3\u6784\u5316\u751f\u6210\u76f8\u5f53\u3002<\/li>\n<li><strong>\u63d0\u5347\u5f00\u653e\u6a21\u578b\u6027\u80fd<\/strong>\uff1a\u5728\u51fd\u6570\u8c03\u7528\u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0c\u6027\u80fd\u4ece 86% \u63d0\u5347\u81f3 96.5%\uff0c\u751a\u81f3\u8d85\u8d8a GPT-4\u3002<\/li>\n<\/ul>\n<h3>\u7ed3\u6784\u5316\u8f93\u51fa\u4e0e\u975e\u7ed3\u6784\u5316\u8f93\u51fa\u7684\u5bf9\u6bd4<\/h3>\n<p>\u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u7ed3\u6784\u5316\u8f93\u51fa\u7684\u4f18\u52bf\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4f8b\u5b50\u6765\u5bf9\u6bd4\u7ed3\u6784\u5316\u4e0e\u975e\u7ed3\u6784\u5316\u8f93\u51fa\u7684\u5dee\u5f02\u3002<\/p>\n<p>\u5047\u8bbe\u6211\u4eec\u9700\u8981\u4ece\u4e00\u5c01\u7535\u5b50\u90ae\u4ef6\u4e2d\u63d0\u53d6\u822a\u73ed\u4fe1\u606f\uff1a<\/p>\n<h4>\u975e\u7ed3\u6784\u5316\u8f93\u51fa<\/h4>\n<p>\u5f53\u5927\u6a21\u578b\u751f\u6210\u7684\u8f93\u51fa\u6ca1\u6709\u4e25\u683c\u7684\u683c\u5f0f\u65f6\uff0c\u53ef\u80fd\u4f1a\u5f97\u5230\u5982\u4e0b\u6587\u672c\uff1a<\/p>\n<pre><code>\u98de\u5f80\u5df4\u9ece\u7684\u822a\u73ed\u5728\u4e0b\u5468\u4e8c\uff0c\u53ef\u80fd\u662f\u65e9\u4e0a10\u70b9\uff0c\u98de\u673a\u662f\u6cd5\u56fd\u822a\u7a7a\u3002<\/code><\/pre>\n<p>\u8fd9\u4e2a\u8f93\u51fa\u867d\u7136\u5305\u542b\u4e86\u6211\u4eec\u9700\u8981\u7684\u4fe1\u606f\uff08\u76ee\u7684\u5730\u3001\u65e5\u671f\u3001\u65f6\u95f4\u3001\u822a\u7a7a\u516c\u53f8\u7b49\uff09\uff0c\u4f46\u5b83\u5e76\u6ca1\u6709\u660e\u786e\u7684\u7ed3\u6784\u3002\u8981\u4ece\u4e2d\u63d0\u53d6\u8fd9\u4e9b\u4fe1\u606f\uff0c\u5f00\u53d1\u8005\u9700\u8981\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u6216\u5176\u4ed6\u6587\u672c\u5904\u7406\u65b9\u6cd5\u6765\u89e3\u6790\u6bcf\u4e2a\u5b57\u6bb5\uff0c\u8fd9\u65e2\u7e41\u7410\u53c8\u5bb9\u6613\u51fa\u9519\u3002\u4f8b\u5982\uff0c\u6a21\u578b\u6709\u53ef\u80fd\u5728\u4e0d\u540c\u7684\u8f93\u5165\u4e2d\u7ed9\u51fa\u4e0d\u540c\u683c\u5f0f\u7684\u8f93\u51fa\uff0c\u5bfc\u81f4\u7cfb\u7edf\u5904\u7406\u65f6\u51fa\u9519\u6216\u51fa\u73b0\u201cJSON decode errors\u201d\u3002<\/p>\n<h4>\u7ed3\u6784\u5316\u8f93\u51fa<\/h4>\n<p>\u5982\u679c\u4f7f\u7528\u7ed3\u6784\u5316\u751f\u6210\uff0c\u6a21\u578b\u5c06\u8fd4\u56de\u7b26\u5408\u9884\u5b9a\u4e49\u683c\u5f0f\u7684\u6570\u636e\uff0c\u4f8b\u5982\uff1a<\/p>\n<pre><code>{\r\n\u00a0\u00a0\"destination\":\u00a0\"\u5df4\u9ece\",\r\n\u00a0\u00a0\"departure_date\":\u00a0\"2024-11-25\",\r\n\u00a0\u00a0\"time\":\u00a0\"10:00\",\r\n\u00a0\u00a0\"airline\":\u00a0\"\u6cd5\u56fd\u822a\u7a7a\"\r\n}\r\n<\/code><\/pre>\n<p>\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u8f93\u51fa\u662f\u7edf\u4e00\u7684\u3001\u6807\u51c6\u5316\u7684\u3002\u5f00\u53d1\u8005\u4e0d\u518d\u9700\u8981\u989d\u5916\u5904\u7406\u6216\u89e3\u6790\u4fe1\u606f\uff0c\u56e0\u4e3a\u6240\u6709\u5173\u952e\u5b57\u6bb5\u90fd\u5df2\u7ecf\u6309\u9884\u671f\u683c\u5f0f\u8fd4\u56de\u3002\u8fd9\u4e0d\u4ec5\u8282\u7701\u4e86\u5f00\u53d1\u65f6\u95f4\uff0c\u8fd8\u5927\u5927\u51cf\u5c11\u4e86\u51fa\u9519\u7684\u6982\u7387\u3002<\/p>\n<p>\u901a\u8fc7\u8fd9\u4e2a\u5bf9\u6bd4\uff0c\u6211\u4eec\u53ef\u4ee5\u6e05\u695a\u5730\u770b\u5230\uff0c\u7ed3\u6784\u5316\u8f93\u51fa\u4e0d\u4ec5\u53ef\u4ee5\u4fdd\u8bc1\u6570\u636e\u7684\u4e00\u81f4\u6027\u548c\u53ef\u9760\u6027\uff0c\u800c\u4e14\u80fd\u663e\u8457\u63d0\u9ad8\u5904\u7406\u6548\u7387\uff0c\u7279\u522b\u662f\u5728\u9700\u8981\u4ece\u5927\u6a21\u578b\u4e2d\u63d0\u53d6\u548c\u5904\u7406\u5927\u91cf\u4fe1\u606f\u65f6\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528 Outlines \u4f1a\u7ed9\u5927\u6a21\u578b\u5e26\u6765\u6027\u80fd\u95ee\u9898\u5417\uff1f<\/h2>\n<h3>Outlines \u662f\u5982\u4f55\u5de5\u4f5c\u7684\uff1f<\/h3>\n<h4>\u57fa\u672c\u539f\u7406<\/h4>\n<ul>\n<li><strong>Logit \u5904\u7406<\/strong>\uff1a\u6a21\u578b\u751f\u6210 logits \u540e\uff0cOutlines \u4f1a\u68c0\u67e5\u6bcf\u4e2a\u53ef\u80fd\u7684\u4e0b\u4e00\u4e2a token\uff0c\u5c4f\u853d\u90a3\u4e9b\u8fdd\u53cd\u5b9a\u4e49\u7ed3\u6784\u7684 token\u3002<\/li>\n<li><strong>\u6548\u7387\u4f18\u5316<\/strong>\uff1a\u901a\u8fc7\u9ad8\u6548\u7684\u5c4f\u853d\u5b9e\u73b0\u6781\u4f4e\u7684\u989d\u5916\u5f00\u9500\u3002<\/li>\n<\/ul>\n<h4>\u793a\u4f8b<\/h4>\n<p>&#8220;\u5982\u679c\u751f\u6210\u7684 <a href=\"https:\/\/www.kdjingpai.com\/pt\/tokenization\/\">token<\/a> \u4f1a\u7834\u574f\u7ed3\u6784\uff0c\u5219\u7acb\u5373\u5c4f\u853d\uff0c\u786e\u4fdd\u751f\u6210\u8fc7\u7a0b\u4e25\u683c\u9075\u5faa\u9884\u5b9a\u4e49\u7ed3\u6784\u3002&#8221;<\/p>\n<h3>\u7ed3\u6784\u5316\u8f93\u51fa\u4f1a\u51cf\u6162\u8f93\u51fa\u901f\u5ea6\u5417\uff1f<\/h3>\n<p>\u4e0d\u4f1a\u3002\u76f8\u53cd\uff0c\u7ed3\u6784\u5316\u751f\u6210\u901a\u5e38\u52a0\u901f\u751f\u6210\u8fc7\u7a0b\uff1a<\/p>\n<ul>\n<li><strong>\u51cf\u5c11\u65e0\u7528 token<\/strong>\uff1a\u901a\u8fc7\u63d0\u524d\u5b9a\u4e49\u7ed3\u6784\uff0c\u907f\u514d\u751f\u6210\u591a\u4f59\u7684\u5b57\u6bb5\u540d\u6216\u62ec\u53f7\u3002<\/li>\n<li><strong>\u51cf\u5c11\u751f\u6210\u957f\u5ea6<\/strong>\uff1a\u7ed3\u6784\u5316\u8f93\u51fa\u7684 token \u6570\u901a\u5e38\u66f4\u5c11\uff0c\u901f\u5ea6\u66f4\u5feb\uff0c\u4e14\u66f4\u6e05\u6670\u3002<\/li>\n<\/ul>\n<h3>Outlines \u4e0e\u5176\u4ed6\u7ed3\u6784\u5316\u751f\u6210\u5e93\u7684\u5bf9\u6bd4<\/h3>\n<ul>\n<li><strong>\u4e0e Guidance \u6bd4\u8f83<\/strong>\uff1aOutlines \u5728\u63a8\u7406\u9636\u6bb5\u7684\u5f00\u9500\u51e0\u4e4e\u4e3a\u96f6\uff0c\u800c Guidance \u5728\u751f\u6210\u5927\u91cf token \u65f6\u53ef\u80fd\u663e\u8457\u51cf\u6162\u3002<\/li>\n<li><strong>\u4e0e LMQL \u6bd4\u8f83<\/strong>\uff1aOutlines \u7684\u6838\u5fc3\u4f18\u52bf\u5728\u4e8e\u5176\u8f7b\u91cf\u5316\u8bbe\u8ba1\u548c\u6548\u7387\u3002<\/li>\n<\/ul>\n<h2>\u4ee3\u7801\u793a\u4f8b<\/h2>\n<p>\u4ee5\u4e0b\u662f\u4f7f\u7528 Outlines \u751f\u6210\u7ed3\u6784\u5316\u4e8b\u4ef6\u6570\u636e\u7684\u793a\u4f8b\uff1a<\/p>\n<pre><code>from\u00a0datetime\u00a0import\u00a0datetime\r\nfrom\u00a0pydantic\u00a0import\u00a0BaseModel, Field\r\nfrom\u00a0outlines\u00a0import\u00a0generate, models\r\n\r\n# \u52a0\u8f7d\u6a21\u578b\r\nmodel = models.mlxlm(\"mlx-community\/Hermes-3-Llama-3.1-8B-8bit\")\r\n\r\n# \u4f7f\u7528 Pydantic \u5b9a\u4e49\u4e8b\u4ef6\u7ed3\u6784\r\nclass\u00a0Event(BaseModel):\r\n\u00a0 \u00a0 title: str = Field(description=\"title of the event\")\r\n\u00a0 \u00a0 location: str\r\n\u00a0 \u00a0 start: datetime = Field(\r\n\u00a0 \u00a0 \u00a0 \u00a0 default=None, description=\"date of the event if available in iso format\"\r\n\u00a0 \u00a0 )\r\n\r\n# \u83b7\u53d6\u5f53\u524d\u65f6\u95f4\r\nnow = datetime.now().strftime(\"%A %d %B %Y and it's %H:%M\")\r\n\r\n# \u5b9a\u4e49\u63d0\u793a\r\nprompt =\u00a0f\"\"\"\r\nToday's date and time are\u00a0{now}\r\nGiven a user message, extract information of the event like date and time in iso format, location and title.\r\nIf the given date is relative, think step by step to find the right date.\r\nHere is the message:\r\n\"\"\"\r\n\r\n# \u793a\u4f8b\u6d88\u606f\r\nmessage =\u00a0\"\"\"Hello Kitty, my grandmother will be here , I think it's better to postpone our\r\nappointment to review math lessons to next Friday at 2pm at the same place, 3 avenue des tanneurs, I think that one hour will be enough\r\nsee you \ud83d\ude18 \"\"\"\r\n\r\n# \u521b\u5efa\u751f\u6210\u5668\r\ngenerator = generate.json(model, Event)\r\n\r\n# \u63d0\u53d6\u4e8b\u4ef6\u4fe1\u606f\r\nevent = generator(prompt + message)\r\n\r\n# \u8f93\u51fa\u7ed3\u679c\r\nprint(f\"Today:\u00a0{now}\")\r\nprint(event.json())\r\n<\/code><\/pre>\n<p>\u751f\u6210\u7684\u4e8b\u4ef6\u4fe1\u606f\u5982\u4e0b\uff1a<\/p>\n<pre><code>{\r\n\u00a0\u00a0\"title\":\u00a0\"Math Review\",\r\n\u00a0\u00a0\"location\":\u00a0\"3 avenue des tanneurs\",\r\n\u00a0\u00a0\"start\":\u00a0\"2024-11-22T14:00:00Z\"\r\n}\r\n<\/code><\/pre>\n<h2>\u7ed3\u8bba\u4e0e\u5c55\u671b<\/h2>\n<p>\u7ed3\u6784\u5316\u751f\u6210\u4e0d\u518d\u53ea\u662f\u4e00\u4e2a\u5229\u57fa\u529f\u80fd\uff0c\u800c\u662f\u5927\u6a21\u578b\u5e94\u7528\u7684\u672a\u6765\uff1a<\/p>\n<ul>\n<li><strong>\u66f4\u9ad8\u7684\u53ef\u9760\u6027\u4e0e\u6548\u7387<\/strong>\uff1a\u901a\u8fc7\u7ed3\u6784\u5316\u751f\u6210\uff0cLLM \u7684\u6027\u80fd\u5f97\u5230\u4e86\u663e\u8457\u63d0\u5347\u3002<\/li>\n<li><strong>\u5f00\u6e90\u7684\u6f5c\u529b<\/strong>\uff1aOutlines \u7684\u6210\u529f\u8bc1\u660e\u4e86\u5f00\u6e90\u6a21\u578b\u5728\u4e0e\u4e13\u6709\u6a21\u578b\u7ade\u4e89\u4e2d\u7684\u6f5c\u529b\u3002<\/li>\n<\/ul>\n<p>\u672a\u6765\uff0c\u968f\u7740\u7ed3\u6784\u5316\u751f\u6210\u7684\u666e\u53ca\uff0cOutlines \u6709\u671b\u6210\u4e3a\u5f00\u53d1\u8005\u5de5\u5177\u7bb1\u4e2d\u7684\u5173\u952e\u7ec4\u4ef6\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Outlines \u662f\u4e00\u4e2a\u7531 dottxt-ai \u5f00\u53d1\u7684\u5f00\u6e90\u5e93\uff0c\u65e8\u5728\u901a\u8fc7\u7ed3\u6784\u5316\u6587\u672c\u751f\u6210\u6765\u63d0\u5347\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u7684\u5e94\u7528\u80fd\u529b\u3002\u8be5\u5e93\u652f\u6301\u591a\u79cd\u6a21\u578b\u96c6\u6210\uff0c\u5305\u62ec OpenAI\u3001transformers\u3001llama.cpp \u7b49\uff0c\u63d0\u4f9b\u7b80\u5355\u800c\u5f3a\u5927\u7684\u63d0\u793a\u539f\u8bed\uff0c&#8230;<\/p>\n","protected":false},"author":1,"featured_media":32782,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20,499],"tags":[230,252],"class_list":["post-16006","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","category-document-extraction","tag-aikaiyuanxiangmu","tag-markdown"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/16006","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=16006"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/16006\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media\/32782"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media?parent=16006"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/categories?post=16006"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/tags?post=16006"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}