{"id":3341,"date":"2025-09-24T20:59:48","date_gmt":"2025-09-24T12:59:48","guid":{"rendered":"https:\/\/moresourcing.com\/how-llms-work\/"},"modified":"2025-09-24T20:59:48","modified_gmt":"2025-09-24T12:59:48","slug":"how-llms-work","status":"publish","type":"post","link":"https:\/\/moresourcing.com\/zh\/how-llms-work\/","title":{"rendered":"\u6cd5\u5b66\u7855\u58eb\u5982\u4f55\u8fd0\u4f5c\uff1a\u9ad8\u7ba1\u5c42\u9762\u5341\u5927\u95ee\u9898"},"content":{"rendered":"<p><\/p>\n<div>\n<div class=\"article-left-col\">\n<section class=\"article-topics\">\n<h4 class=\"article-topics__title\">\u4e3b\u9898<\/h4>\n<ul class=\"article-topics__list\">\n<li class=\"article-topics__item\">\n                <a href=\"https:\/\/sloanreview.mit.edu\/topic\/data-ai-machine-learning\/\">\u6570\u636e\u3001\u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60<\/a>\n            <\/li>\n<li class=\"article-topics__item\">\n                <a href=\"https:\/\/sloanreview.mit.edu\/topic\/ai-machine-learning\/\">\u4eba\u5de5\u667a\u80fd\u4e0e\u673a\u5668\u5b66\u4e60<\/a>\n            <\/li>\n<\/ul>\n<\/section>\n<section class=\"article-section\">\n<h4 class=\"article-section__title\">\u4e13\u680f<\/h4>\n<p>\n            \u6211\u4eec\u7684\u4e13\u5bb6\u4e13\u680f\u4f5c\u5bb6\u5c31\u73b0\u4ee3\u4f01\u4e1a\u548c\u7ba1\u7406\u8005\u9762\u4e34\u7684\u91cd\u8981\u95ee\u9898\u63d0\u4f9b\u610f\u89c1\u548c\u5206\u6790\u3002        <\/p>\n<p>        <a href=\"https:\/\/sloanreview.mit.edu\/series\/column\/\" class=\"article-section__link\"><\/p>\n<p>           \u672c\u7cfb\u5217\u4e2d\u7684\u66f4\u591a\u5185\u5bb9<br \/>\n                      <\/a><\/p>\n<\/section><\/div>\n<aside class=\"article-ad ad-300  ad-300x250 ad-desktop\">\n<\/aside>\n<aside class=\"article-ad ad-300  ad-300x250 ad-mobile\">\n<\/aside>\n<figure class=\"article-inline\">\n<img fetchpriority=\"high\" decoding=\"async\" width=\"1290\" height=\"860\" class=\"wp-image-122908\" srcset=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2025\/09\/How-LLMs-Work-Top-10-Executive-Level-Questions.jpg 1290w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Ramakrishnan-Questions-1290x860-1-300x200.jpg 300w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Ramakrishnan-Questions-1290x860-1-150x100.jpg 150w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Ramakrishnan-Questions-1290x860-1-768x512.jpg 768w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Ramakrishnan-Questions-1290x860-1-764x509.jpg 764w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Ramakrishnan-Questions-1290x860-1-382x255.jpg 382w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Ramakrishnan-Questions-1290x860-1-870x580.jpg 870w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Ramakrishnan-Questions-1290x860-1-435x290.jpg 435w\" data-lazy-sizes=\"(max-width: 1290px) 100vw, 1290px\" src=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2025\/09\/How-LLMs-Work-Top-10-Executive-Level-Questions.jpg\"\/><img fetchpriority=\"high\" decoding=\"async\" width=\"1290\" height=\"860\" src=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2025\/09\/How-LLMs-Work-Top-10-Executive-Level-Questions.jpg\" class=\"wp-image-122908\" srcset=\"https:\/\/moresourcing.com\/wp-content\/uploads\/2025\/09\/How-LLMs-Work-Top-10-Executive-Level-Questions.jpg 1290w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Ramakrishnan-Questions-1290x860-1-300x200.jpg 300w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Ramakrishnan-Questions-1290x860-1-150x100.jpg 150w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Ramakrishnan-Questions-1290x860-1-768x512.jpg 768w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Ramakrishnan-Questions-1290x860-1-764x509.jpg 764w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Ramakrishnan-Questions-1290x860-1-382x255.jpg 382w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Ramakrishnan-Questions-1290x860-1-870x580.jpg 870w, https:\/\/sloanreview.mit.edu\/wp-content\/uploads\/2025\/09\/Ramakrishnan-Questions-1290x860-1-435x290.jpg 435w\" sizes=\"(max-width: 1290px) 100vw, 1290px\"\/><figcaption>\n<p class=\"attribution\">Carolyn Geason-Beissel\/MIT SMR | Getty Images<\/p>\n<\/figcaption><\/figure>\n<div class=\"article-summary\"><strong class=\"article-summary__strong\">\u6458\u8981 <\/strong><\/p>\n<p>\u968f\u7740\u516c\u53f8\u91c7\u7528\u4eba\u5de5\u667a\u80fd\u548c\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u5de5\u5177\uff0c\u4f01\u4e1a\u9886\u5bfc\u8005\u73b0\u5728\u6b63\u5728\u91cd\u65b0\u601d\u8003\u5de5\u4f5c\u6d41\u7a0b\u3001\u7ec4\u7ec7\u8bbe\u8ba1\u548c\u5176\u4ed6\u5b66\u79d1\u3002<\/p>\n<\/div>\n<p><span class=\"smr-leadin\">\u5728\u6211\u7684\u5de5\u4f5c\u4e2d<\/span> \u5728\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u65af\u9686\u7ba1\u7406\u5b66\u9662\uff0c\u8fc7\u53bb\u4e24\u5e74\u91cc\uff0c\u6211\u5411\u8bb8\u591a\u9ad8\u7ba1\u6559\u6388\u4e86\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM) \u5982\u4f55\u5de5\u4f5c\u7684\u57fa\u7840\u77e5\u8bc6\u3002 <\/p>\n<p>\u6709\u4e9b\u4eba\u8ba4\u4e3a\uff0c\u4f01\u4e1a\u9886\u5bfc\u8005\u65e2\u4e0d\u60f3\u4e5f\u4e0d\u9700\u8981\u77e5\u9053\u6cd5\u5b66\u7855\u58eb\u53ca\u5176\u652f\u6301\u7684\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u5de5\u5177\u5982\u4f55\u5de5\u4f5c\uff0c\u800c\u53ea\u5bf9 <em>\u7ed3\u679c<\/em> \u8fd9\u4e9b\u5de5\u5177\u53ef\u4ee5\u5b9e\u73b0\u3002 <\/p>\n<p>\u5728\u672c\u4e13\u680f\u4e2d\uff0c\u6211\u5206\u4eab\u4e86\u6709\u5173\u6211\u7ecf\u5e38\u88ab\u95ee\u53ca\u7684 10 \u4e2a\u7ecf\u5e38\u88ab\u8bef\u89e3\u7684\u4e3b\u9898\u7684\u95ee\u9898\u53ca\u5176\u7b54\u6848\u3002<\/p>\n<h3>\u5173\u4e8e GenAI \u548c\u6cd5\u5b66\u7855\u58eb\u7684 10 \u4e2a\u57fa\u672c\u95ee\u9898\u548c\u89e3\u7b54<\/h3>\n<h4>1. \u636e\u6211\u6240\u77e5\uff0c\u6cd5\u5b66\u7855\u58eb\u4e00\u6b21\u751f\u6210\u4e00\u6bb5\u6587\u672c\u7684\u8f93\u51fa\u3002<\/h4>\n<p>\u6362\u53e5\u8bdd\u8bf4\uff0c\u6cd5\u5b66\u7855\u58eb\u4f55\u65f6\u51b3\u5b9a\u5411\u7528\u6237\u63d0\u4f9b\u95ee\u9898\u7684\u6700\u7ec8\u7b54\u6848\uff1f<\/p>\n<p>\u5f53\u6cd5\u5b66\u7855\u58eb\u56de\u7b54\u95ee\u9898\u65f6\uff0c\u5b83\u4f1a\u4e00\u6b21\u751f\u6210\u4e00\u5c0f\u6bb5\u6587\u672c\u3002 <em>\u4ee3\u5e01<\/em>.<a id=\"reflink1\" class=\"reflink\" href=\"#ref1\">1<\/a> \u6807\u8bb0\u53ef\u4ee5\u662f\u5355\u8bcd\u6216\u5355\u8bcd\u7684\u4e00\u90e8\u5206\u3002<em> \u548c <\/em>\u5230\u76ee\u524d\u4e3a\u6b62\u5b83\u5df2\u7ecf\u5199\u4e86\u4ec0\u4e48\u3002<a id=\"reflink2\" class=\"reflink\" href=\"#ref2\">2<\/a><\/p>\n<p>\u5916\u90e8\u7cfb\u7edf\u5728\u201c\u751f\u6210\u4e0b\u4e00\u4e2a\u4ee4\u724c\uff1b\u5c06\u5176\u9644\u52a0\u5230\u8f93\u5165\uff1b\u751f\u6210\u4e0b\u4e00\u4e2a\u4ee4\u724c\u201d\u5faa\u73af\u4e2d\u8fd0\u884c LLM\uff0c\u76f4\u5230 <em>\u505c\u6b62\u6761\u4ef6<\/em> \u88ab\u89e6\u53d1\u3002<\/p>\n<p>\u5b9e\u9645\u4e2d\u4f7f\u7528\u4e86\u8bb8\u591a\u505c\u6b62\u6761\u4ef6\u3002 <em>\u505c\u6b62\u987a\u5e8f<\/em>.<\/p>\n<p>\u5f53\u6211\u4eec\u4f5c\u4e3a\u6d88\u8d39\u8005\u4f7f\u7528 ChatGPT \u7b49\u7f51\u7edc\u7248\u5de5\u5177\u65f6\uff0c\u6211\u4eec\u770b\u4e0d\u5230\u8fd9\u4e2a\u8fc7\u7a0b\u2014\u2014\u53ea\u80fd\u770b\u5230\u6700\u7ec8\u7684\u6587\u672c\u3002<\/p>\n<p>\u8fd9\u91cc\u91cd\u8981\u7684\u4e00\u70b9\u662f\uff0c\u505c\u6b62\u7684\u201c\u51b3\u5b9a\u201d\u662fLLM\u7684\u4ee3\u5e01\u9884\u6d4b\u548c\u5916\u90e8\u63a7\u5236\u903b\u8f91\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\uff0c\u800c\u4e0d\u662fLLM\u505a\u51fa\u7684\u51b3\u5b9a\u3002<\/p>\n<h4>2. \u5982\u679cLLM\u72af\u4e86\u9519\u8bef\uff0c\u6211\u6539\u6b63\u4e86\uff0c\u5b83\u4f1a\u7acb\u5373\u81ea\u884c\u66f4\u65b0\u5417\uff1f<\/h4>\n<p>\u4e0d\uff0c\u5982\u679c\u60a8\u66f4\u6b63\uff0cLLM \u4e0d\u4f1a\u7acb\u5373\u81ea\u884c\u66f4\u65b0\u3002 <\/p>\n<p>\u67d0\u4e9b\u5e94\u7528\u7a0b\u5e8f\uff08\u4f8b\u5982 ChatGPT\uff09\u5177\u6709\u8bb0\u5fc6\u529f\u80fd\uff0c\u53ef\u4ee5\u5b9e\u65f6\u66f4\u65b0\u4ee5\u8bb0\u4f4f\u60a8\u7684\u59d3\u540d\u3001\u504f\u597d\u6216\u4f4d\u7f6e\u7b49\u4e2a\u4eba\u4fe1\u606f\u3002<\/p>\n<h4>3. \u5982\u679c LLM \u6839\u636e\u5f53\u524d\u5bf9\u8bdd\u4e00\u6b21\u91cd\u590d\u751f\u6210\u4e00\u4e2a\u4ee4\u724c\uff0c\u4e3a\u4ec0\u4e48\u6211\u770b\u5230\u5b83\u5728\u54cd\u5e94\u4e2d\u4f7f\u7528\u5148\u524d\u5bf9\u8bdd\uff08\u4f8b\u5982\u4e00\u5468\u524d\uff09\u4e2d\u7684\u4fe1\u606f\uff1f<\/h4>\n<p>LLM \u6839\u636e\u4ed6\u4eec\u5728\u5bf9\u8bdd\u4e2d\u7ed9\u51fa\u7684\u8f93\u5165\uff0c\u4e00\u6b21\u751f\u6210\u4e00\u4e2a\u4ee4\u724c\u7684\u54cd\u5e94\u3002<\/p>\n<p>\u5f53\u60a8\u5f00\u59cb\u65b0\u7684\u804a\u5929\u65f6\uff0c\u8be5\u5b58\u50a8\u5185\u5b58\u7684\u76f8\u5173\u90e8\u5206\u53ef\u80fd\u4f1a\u88ab <em>\u81ea\u52a8\u5730<\/em> \u6dfb\u52a0\u5230\u63d0\u793a\u4e2d <em>\u5e55\u540e<\/em>\u3002<\/p>\n<p>\u5b58\u50a8\u5185\u5bb9\u548c\u4f7f\u7528\u65f6\u95f4\u7684\u8be6\u7ec6\u4fe1\u606f\u56e0\u4f9b\u5e94\u5546\u800c\u5f02\uff0c\u5177\u4f53\u65b9\u6cd5\u5c1a\u672a\u62ab\u9732\u3002<\/p>\n<p>\u5982\u679c\u60a8\u4e0d\u719f\u6089\u7684\u8bdd\uff0cRAG \u662f\u4e00\u79cd\u7528\u4e8e\u4e3a\u6cd5\u5b66\u7855\u58eb\u63d0\u4f9b\u5bf9\u4e00\u7ec4\u7279\u5b9a\u4e13\u6709\u6570\u636e\u7684\u8bbf\u95ee\u7684\u6280\u672f\u3002<\/p>\n<h4>4. \u6211\u77e5\u9053\u6cd5\u5b66\u7855\u58eb\u6709\u4e00\u4e2a\u57f9\u8bad\u622a\u6b62\u65e5\u671f\uff0c\u4ed6\u4eec\u4e0d\u201c\u77e5\u9053\u201d\u8be5\u65e5\u671f\u4e4b\u540e\u53d1\u751f\u7684\u4e8b\u60c5\u3002 <em>\u80fd<\/em> \u56de\u7b54\u6709\u5173\u6240\u53d1\u751f\u4e8b\u4ef6\u7684\u95ee\u9898 <em>\u540e<\/em> \u622a\u6b62\u65e5\u671f\u3002<\/h4>\n<p>\u5f53\u60a8\u8be2\u95ee\u6cd5\u5b66\u7855\u58eb\u57f9\u8bad\u622a\u6b62\u65e5\u671f\u4e4b\u540e\u53d1\u751f\u7684\u4e8b\u60c5\u65f6\uff0c\u6a21\u578b\u672c\u8eab\u5e76\u4e0d\u201c\u77e5\u9053\u201d\u8be5\u4e8b\u4ef6\uff0c\u9664\u975e\u5b83\u80fd\u591f\u8bbf\u95ee\u6700\u65b0\u4fe1\u606f\u3002 <\/p>\n<div class=\"callout-pullquote callout-pullquote--no-quote callout-pullquote--long\" data-aos-duration=\"900\" data-aos-anchor-placement=\"bottom-bottom\" data-aos-easing=\"ease-out-back\" data-aos=\"fade-up\">\n<p class=\"callout-pullquote__quote\">\n\t\t\t\t\t\u5982\u679c\u65e0\u6cd5\u8bbf\u95ee\u5b9e\u65f6\u6570\u636e\uff0c\u6a21\u578b\u4ecd\u53ef\u80fd\u6839\u636e\u5176\u8bad\u7ec3\u6570\u636e\u751f\u6210\u4e0d\u53cd\u6620\u73b0\u5b9e\u4e16\u754c\u66f4\u65b0\u7684\u7b54\u6848\u3002\n\t\t\t\t\t<\/p>\n<\/div>\n<p>\u5728\u8fd9\u4e9b\u60c5\u51b5\u4e0b\uff0c\u6cd5\u5b66\u7855\u58eb\u53ef\u80fd\u4f1a\u6839\u636e\u60a8\u7684\u95ee\u9898\u751f\u6210\u641c\u7d22\u67e5\u8be2\uff0c\u5e76\u4e14\u7cfb\u7edf\u7684\u5355\u72ec\u90e8\u5206\uff08\u6a21\u578b\u672c\u8eab\u4e4b\u5916\uff09\u6267\u884c\u641c\u7d22\u3002<\/p>\n<aside class=\"article-ad ad-300  ad-300x600 ad-desktop\">\n<\/aside>\n<aside class=\"article-ad ad-300  ad-300x250 ad-mobile\">\n<\/aside>\n<h4>5. \u5982\u679c\u6211\u5c06\u6587\u6863\u4f5c\u4e3a\u63d0\u793a\u7684\u4e00\u90e8\u5206\uff0c\u6211\u80fd\u5426\u786e\u4fdd LLM \u5728\u751f\u6210\u54cd\u5e94\u65f6\u4ec5\u4f7f\u7528\u6240\u63d0\u4f9b\u7684\u6587\u6863\uff1f<\/h4>\n<p>\u4e0d\u4f1a\u3002\u867d\u7136\u4ed4\u7ec6\u7684\u63d0\u793a\u548c RAG \u7b49\u6280\u672f\u53ef\u4ee5\u9f13\u52b1\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u5bf9\u4e00\u7ec4\u63d0\u4f9b\u7684\u6587\u6863\u8fdb\u884c\u4f18\u5148\u7ea7\u6392\u5e8f\uff0c\u4f46\u4e0d\u80fd\u5f3a\u8feb\u6807\u51c6\u6cd5\u5b66\u7855\u58eb\u4ec5\u4f7f\u7528\u8be5\u5185\u5bb9\u3002 <\/p>\n<h4>6. \u6cd5\u5b66\u7855\u58eb\u6709\u65f6\u4f1a\u5f15\u7528\u7528\u4e8e\u751f\u6210\u95ee\u9898\u7b54\u6848\u7684\u6765\u6e90\u3002<\/h4>\n<p>\u4e0d\u4f1a\u3002\u6cd5\u5b66\u7855\u58eb\u53ef\u4ee5\u634f\u9020\uff08\u5e7b\u89c9\uff09\u5f15\u6587\u6216\u4ee5\u4e0d\u51c6\u786e\u6216\u8bef\u5bfc\u6027\u7684\u65b9\u5f0f\u4f7f\u7528\u771f\u5b9e\u6765\u6e90\u3002<\/p>\n<h4>7. \u5f53\u6211\u4eec\u6709\u5f88\u591a\u6587\u6863\u65f6\uff0c\u6211\u4eec\u4f7f\u7528 RAG\uff0c\u6211\u4eec\u9996\u5148\u4ece\u6587\u6863\u4e2d\u6536\u96c6\u76f8\u5173\u4fe1\u606f\uff0c\u5e76\u4ec5\u5305\u542b\u63d0\u793a\u4e2d\u7684\u4fe1\u606f\u3002 <em>\u5168\u90e8<\/em> \u6587\u4ef6\u3002<\/h4>\n<p>\u50cf GPT-4.1 \u548c Gemini 2.5 \u8fd9\u6837\u7684\u73b0\u4ee3\u6cd5\u5b66\u7855\u58eb\u63d0\u4f9b\u4e86\u767e\u4e07\u4e2a\u4ee4\u724c\u4e0a\u4e0b\u6587\u7a97\u53e3\u2014\u2014\u8db3\u4ee5\u5bb9\u7eb3\u6574\u672c\u4e66\u3002<\/p>\n<p>\u867d\u7136\u8fd9\u4e9b\u6269\u5c55\u4e0a\u4e0b\u6587\u7a97\u53e3\u529f\u80fd\u5f3a\u5927\uff0c\u4f46\u5728\u63d0\u793a\u4e2d\u5305\u542b\u6240\u6709\u6587\u6863\u5e76\u4e0d\u603b\u662f\u4e00\u4e2a\u597d\u4e3b\u610f\u3002<\/p>\n<p>\u9996\u5148\uff0cRAG \u4e0d\u4ec5\u4ec5\u662f\u8ba9\u63d0\u793a\u7b80\u77ed\u3002 <a href=\"https:\/\/www.dbreunig.com\/2025\/06\/22\/how-contexts-fail-and-how-to-fix-them.html\" target=\"_blank\" rel=\"noopener\">\u91cd\u8f7d\u4e0a\u4e0b\u6587<\/a> \u592a\u591a\u6216\u4e0d\u76f8\u5173\u7684\u4fe1\u606f\u53ef\u80fd\u4f1a\u635f\u5bb3\u6027\u80fd\uff0c\u800c\u4fdd\u6301\u4e0a\u4e0b\u6587\u548c\u63d0\u793a\u7684\u76f8\u5173\u6027\u3001\u7b80\u6d01\u6027\u548c\u51c6\u786e\u6027\u901a\u5e38\u4f1a\u5e26\u6765\u66f4\u597d\u7684\u7b54\u6848\u3002<\/p>\n<p>\u5176\u6b21\uff0c\u5c3d\u7ba1\u6cd5\u5b66\u7855\u58eb\u53ef\u4ee5\u63a5\u53d7\u957f\u4e0a\u4e0b\u6587\uff0c\u4f46\u4ed6\u4eec\u4e0d\u80fd\u540c\u6837\u5f88\u597d\u5730\u5904\u7406\u6240\u6709\u90e8\u5206\u3002<\/p>\n<p>\u6700\u540e\uff0c\u8f83\u957f\u7684\u63d0\u793a\u610f\u5473\u7740\u66f4\u591a\u7684\u4ee4\u724c\uff0c\u8fd9\u4f1a\u589e\u52a0 API \u6210\u672c\u5e76\u51cf\u6162\u54cd\u5e94\u901f\u5ea6\u3002<\/p>\n<p>\u7b80\u800c\u8a00\u4e4b\uff0c\u957f\u4e0a\u4e0b\u6587\u7a97\u53e3\u5f88\u6709\u7528\uff0c\u4f46\u5b83\u4eec\u5e76\u4e0d\u4f1a\u4f7f\u68c0\u7d22\u53d8\u5f97\u8fc7\u65f6\u3002 <a href=\"https:\/\/sloanreview.mit.edu\/article\/the-genai-app-step-youre-skimping-on-evaluations\/\">\u8bc4\u4ef7\u7684<\/a> \u6839\u636e\u60a8\u7684\u5177\u4f53\u5e94\u7528\u7684\u9700\u6c42\u3002<\/p>\n<h4>8. LLM\u5e7b\u89c9\u53ef\u4ee5\u6d88\u9664\u5417\uff1f<\/h4>\n<p>\u4e0d\uff0c\u76ee\u524d\u7684\u6cd5\u5b66\u7855\u58eb\u6280\u672f\u65e0\u6cd5\u5b8c\u5168\u6d88\u9664\u5e7b\u89c9\u3002<\/p>\n<p>\u7136\u800c\uff0c\u4ed4\u7ec6\u7684\u63d0\u793a\u5de5\u7a0b\u548c\u7b56\u7565\uff08\u4f8b\u5982 RAG\u3001\u9488\u5bf9\u7279\u5b9a\u9886\u57df\u7684\u6570\u636e\u8fdb\u884c\u5fae\u8c03\u4ee5\u53ca\u4f7f\u7528\u57fa\u4e8e\u89c4\u5219\u7684\u68c0\u67e5\u6216\u5916\u90e8\u9a8c\u8bc1\u8fdb\u884c\u540e\u5904\u7406\uff09\u53ef\u4ee5 <a href=\"https:\/\/docs.anthropic.com\/en\/docs\/test-and-evaluate\/strengthen-guardrails\/reduce-hallucinations\" target=\"_blank\">\u51cf\u5c11\u5e7b\u89c9<\/a> \u5728\u7279\u5b9a\u7684\u7528\u4f8b\u4e2d\u3002<a id=\"reflink3\" class=\"reflink\" href=\"#ref3\">3<\/a> \u867d\u7136\u8fd9\u4e9b\u7b56\u7565\u5e76\u4e0d\u80fd\u4fdd\u8bc1\u6d88\u9664\u5e7b\u89c9\uff0c\u4f46\u5b83\u4eec\u53ef\u4ee5\u63d0\u9ad8\u6cd5\u5b66\u7855\u58eb\u7684\u53ef\u9760\u6027\uff0c\u8db3\u4ee5\u6ee1\u8db3\u8bb8\u591a\u5b9e\u9645\u5e94\u7528\u7684\u9700\u8981\u3002<\/p>\n<h4>9. \u7531\u4e8eLLM\u7684\u5e7b\u89c9\u548c\u9519\u8bef\u65e0\u6cd5\u6d88\u9664\uff0c\u6240\u4ee5\u6211\u4eec\u9700\u8981\u68c0\u67e5\u7b54\u6848\u3002<\/h4>\n<p>\u6709\u6548\u68c0\u67e5\u6cd5\u5b66\u7855\u58eb\u8f93\u51fa\u53d6\u51b3\u4e8e\u4efb\u52a1\u7c7b\u578b\u548c\u53ef\u63a5\u53d7\u7684\u98ce\u9669\u7ea7\u522b\u3002<\/p>\n<p>\u5bf9\u4e8e\u6458\u8981\u3001\u8bba\u6587\u3001\u62a5\u544a\u6216\u5206\u6790\u7b49\u5f00\u653e\u5f0f\u4efb\u52a1\uff0c\u4eba\u5de5\u5ba1\u6838\u63d0\u4f9b\u6700\u53ef\u9760\u7684\u76d1\u7763\u3002<\/p>\n<p>\u4e00\u79cd\u8d8a\u6765\u8d8a\u6d41\u884c\u7684\u66ff\u4ee3\u65b9\u6848\u662f\u4f7f\u7528\u201c\u4eba\u5de5\u667a\u80fd\u6cd5\u5b98\u201d\uff0c\u8fd9\u901a\u5e38\u662f\u53e6\u4e00\u4e2a\u53ef\u4ee5\u8bc4\u4f30\u6216\u9a8c\u8bc1\u7b2c\u4e00\u4e2a\u5de5\u5177\u7684\u8f93\u51fa\u7684\u6cd5\u5b66\u7855\u58eb\u3002 <\/p>\n<div class=\"callout-pullquote callout-pullquote--no-quote\" data-aos-duration=\"900\" data-aos-anchor-placement=\"bottom-bottom\" data-aos-easing=\"ease-out-back\" data-aos=\"fade-new-left\">\n<p class=\"callout-pullquote__quote\">\n\t\t\t\t\t\u201c\u4eba\u5de5\u667a\u80fd\u6cd5\u5b98\u201d\u901a\u5e38\u662f\u53e6\u4e00\u4e2a\u6cd5\u5b66\u7855\u58eb\uff0c\u7528\u4e8e\u8bc4\u4f30\u6216\u9a8c\u8bc1\u7b2c\u4e00\u4e2a\u5de5\u5177\u7684\u8f93\u51fa\u3002\n\t\t\t\t\t<\/p>\n<\/div>\n<p>\u7ed3\u6784\u5316\u4efb\u52a1\uff08\u4f8b\u5982\u751f\u6210\u4ee3\u7801\u3001\u5bf9\u4fe1\u606f\u8fdb\u884c\u5206\u7c7b\u6216\u4ee5 SQL \u6216 JSON \u7b49\u683c\u5f0f\u751f\u6210\u7ed3\u6784\u5316\u6570\u636e\uff09\u66f4\u5bb9\u6613\u5b9e\u73b0\u81ea\u52a8\u5316\u3002 <\/p>\n<p>\u603b\u4e4b\uff0c\u6700\u6709\u6548\u7684\u68c0\u67e5\u7b56\u7565\u7ed3\u5408\u4e86\u81ea\u52a8\u5316\u548c\u4eba\u5de5\u76d1\u7763\u3002<\/p>\n<h4>10. \u6211\u4eec\u6b63\u5728\u6784\u5efa\u4e00\u4e2a\u57fa\u4e8e LLM \u7684\u804a\u5929\u673a\u5668\u4eba\uff0c\u5e76\u5e0c\u671b\u4fdd\u8bc1\u5f53\u4e0d\u540c\u7528\u6237\u95ee\u540c\u4e00\u95ee\u9898\uff08\u6216\u4e00\u4e2a\u7528\u6237\u5728\u4e0d\u540c\u65f6\u95f4\u95ee\u540c\u4e00\u95ee\u9898\uff09\u65f6\uff0c\u5176\u5bf9\u95ee\u9898\u7684\u7b54\u6848\u4fdd\u6301\u4e0d\u53d8\u3002<\/h4>\n<p>\u5982\u679c\u201c\u4fdd\u8bc1\u201d\u662f\u6307 <em>\u786e\u5207\u5730<\/em> \u6bcf\u6b21\u90fd\u662f\u540c\u6837\u7684\u63aa\u8f9e\uff0c\u7b80\u77ed\u7684\u7b54\u6848\u662f\u5426\u5b9a\u7684\u3002<\/p>\n<p>\u5982\u679c\u540c\u4e00\u4e2a\u95ee\u9898\u5728\u4e0d\u540c\u573a\u5408\u4f7f\u7528\u4e0d\u540c\u7684\u8bcd\u8bed\u63d0\u51fa\uff0cLLM\u7684\u7b54\u6848\u5f88\u53ef\u80fd\u4f1a\u6539\u53d8\u3002 <em>\u786e\u5207\u5730<\/em> \u6bcf\u6b21\u90fd\u4f1a\u751f\u6210\u76f8\u540c\u7684\u7b54\u6848\u3002<\/p>\n<p>\u60a8\u53ef\u4ee5\u901a\u8fc7\u914d\u7f6e\u67d0\u4e9b LLM \u8bbe\u7f6e\uff08\u4f8b\u5982\uff0c\u5c06\u201c\u6e29\u5ea6\u201d\u8bbe\u7f6e\u4e3a\u96f6\uff09\u3001\u9501\u5b9a\u786e\u5207\u7684\u6a21\u578b\u7248\u672c\uff0c\u751a\u81f3\u81ea\u6258\u7ba1\u6765\u51cf\u5c11\u53ef\u53d8\u6027\uff0c\u4ee5\u4fbf\u60a8\u63a7\u5236\u6574\u4e2a\u786c\u4ef6\u548c\u8f6f\u4ef6\u5806\u6808\u3002<a id=\"reflink4\" class=\"reflink\" href=\"#ref4\">4<\/a> \u56e0\u6b64\uff0c\u60a8\u4ecd\u7136\u5076\u5c14\u4f1a\u770b\u5230\u4e00\u4e9b\u5c0f\u7684\u63aa\u8f9e\u6216\u91cd\u70b9\u7684\u53d8\u5316\uff0c\u8fd9\u4e9b\u53d8\u5316\u4e0d\u4f1a\u6539\u53d8\u6f5c\u5728\u7b54\u6848\u7684\u542b\u4e49\u3002 <\/p>\n<p>\u771f\u6b63\u4fdd\u8bc1\u76f8\u540c\u63aa\u8f9e\u7684\u552f\u4e00\u65b9\u6cd5\u662f\u5728\u7b2c\u4e00\u6b21\u751f\u6210\u7b54\u6848\u65f6\u5b58\u50a8\uff08\u7f13\u5b58\uff09\u7b54\u6848\uff0c\u5e76\u5728\u68c0\u6d4b\u5230\u76f8\u540c\u95ee\u9898\u65f6\u63d0\u4f9b\u5b58\u50a8\u7684\u6587\u672c\u3002<\/p>\n<p>\u7b80\u800c\u8a00\u4e4b\uff1a\u60a8\u53ef\u4ee5\u4f7f\u7b54\u6848\u6781\u5176\u4e00\u81f4\uff0c\u4f46\u4ee5\u5f53\u524d\u6280\u672f\u65e0\u6cd5\u5b9e\u73b0 100% \u7684\u63aa\u8f9e\u4fdd\u8bc1\u3002<\/p>\n<aside class=\"article-ad ad-300  ad-300x250 ad-desktop\">\n<\/aside>\n<aside class=\"article-ad ad-300  ad-300x250 ad-mobile\">\n<\/aside>\n<div class=\"article-authors\" id=\"article-authors\">\n<h4 class=\"article-authors__title\">\u5173\u4e8e\u4f5c\u8005<\/h4>\n<div class=\"article-authors__bio\">\n<p>\u62c9\u739b\u00b7\u62c9\u9a6c\u514b\u91cc\u5e0c\u5357 (Rama Ramakrishnan) \u662f\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u65af\u9686\u7ba1\u7406\u5b66\u9662\u7684\u5b9e\u8df5\u6559\u6388\u3002<\/p>\n<\/div><\/div>\n<div class=\"article-ref\" id=\"article-ref\">\n<h4 class=\"article-ref__title\">\u53c2\u8003\u8d44\u6599<\/h4>\n<div class=\"article-ref__list\">\n<p id=\"ref1\"><b>1.<\/b> \u5e73\u5747\u800c\u8a00\uff0c\u4e00\u4e2a token \u5927\u7ea6\u662f\u4e00\u4e2a\u5355\u8bcd\u7684\u56db\u5206\u4e4b\u4e09\uff0c\u800c\u73b0\u4ee3\u6cd5\u5b66\u7855\u58eb\u62e5\u6709\u6570\u4e07\u5230\u8d85\u8fc7 100,000 \u4e2a token \u7684\u8bcd\u6c47\u91cf\u3002 <a href=\"https:\/\/platform.openai.com\/tokenizer\" target=\"_blank\">OpenAI \u7684 Tokenizer \u5de5\u5177<\/a> \u5e76\u4e86\u89e3\u5982\u4f55\u5bf9\u5355\u8bcd\u8fdb\u884c\u6807\u8bb0\u4ee5\u83b7\u5f97\u66f4\u6df1\u5165\u7684\u7406\u89e3\u3002<\/p>\n<p id=\"ref2\"><b>2.<\/b> \u4e25\u683c\u6765\u8bf4\uff0c\u7ed9\u5b9a\u4e00\u4e2a\u8f93\u5165\uff0cLLM \u4f1a\u4e3a\u5176\u8bcd\u6c47\u8868\u4e2d\u7684\u6bcf\u4e2a\u6807\u8bb0\u751f\u6210\u4e00\u4e2a\u6982\u7387\uff08\u5373 0.0 \u5230 1.0 \u4e4b\u95f4\u7684\u6570\u5b57\uff09\u3002<\/p>\n<p id=\"ref3\"><b>3.<\/b> \u6709\u5173\u8be5\u4e3b\u9898\u7684\u6700\u65b0\u5b66\u672f\u7814\u7a76\u8c03\u67e5\uff0c\u8bf7\u53c2\u9605 Y. Wang\u3001M. Wang\u3001M.A. Manzoor \u7b49\u4eba\uff0c\u201c<a href=\"https:\/\/aclanthology.org\/2024.emnlp-main.1088.pdf\" target=\"_blank\">\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u771f\u5b9e\u6027\uff1a\u8c03\u67e5<\/a>\uff0c\u201d\u300a2024 \u5e74\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7ecf\u9a8c\u65b9\u6cd5\u4f1a\u8bae\u8bba\u6587\u96c6\u300b\uff08\u8fc8\u963f\u5bc6\uff1a\u8ba1\u7b97\u8bed\u8a00\u5b66\u534f\u4f1a\uff0c2024 \u5e74 11 \u6708 12-16 \u65e5\uff09\uff0c19519-19529\u3002<\/p>\n<p id=\"ref4\"><b>4.<\/b> \u4ec5\u4e3e\u51e0\u4f8b\uff1a\u4e0d\u786e\u5b9a\u6027 GPU \u64cd\u4f5c\u3001\u6d6e\u70b9\u820d\u5165\u5dee\u5f02\u548c\u9759\u9ed8\u540e\u7aef\u66f4\u65b0\u3002<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n<p>#LLMs #Work #Top #ExecutiveLevel #Questions<\/p>","protected":false},"excerpt":{"rendered":"<p>\u4e3b\u9898 \u6570\u636e\u3001\u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60 \u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60\u4e13\u680f \u6211\u4eec\u7684\u4e13\u5bb6\u4e13\u680f\u4f5c\u5bb6\u5c31\u73b0\u4ee3\u4f01\u4e1a\u548c\u7ba1\u7406\u8005\u9762\u4e34\u7684\u91cd\u8981\u95ee\u9898\u63d0\u4f9b\u610f\u89c1\u548c\u5206\u6790\u3002<\/p>","protected":false},"author":1,"featured_media":3342,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-3341","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-management"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.7.1 (Yoast SEO v25.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How LLMs Work: Top 10 Executive-Level Questions - MORE SOURCING LTD<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/moresourcing.com\/zh\/how-llms-work\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How LLMs Work: Top 10 Executive-Level Questions\" \/>\n<meta property=\"og:description\" content=\"Topics Data, AI, &amp; Machine Learning AI &amp; Machine Learning Column Our expert columnists offer opinion and analysis on important issues facing modern businesses and managers. 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