{"id":11364,"date":"2026-08-24T18:49:45","date_gmt":"2026-08-24T10:49:45","guid":{"rendered":"https:\/\/infernews.com\/blog\/llm-embedding-1431\/"},"modified":"2026-08-24T18:50:50","modified_gmt":"2026-08-24T10:50:50","slug":"llm-embedding-1431","status":"publish","type":"post","link":"https:\/\/infernews.com\/blog\/llm-embedding-1431\/","title":{"rendered":"[\u6280\u8853\u6587\u7ae0]LLM \u5ab2\u7f8e Embedding\uff0c\u6210\u672c\u537b\u9ad8\u903e 1431 \u500d"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/infernews.com\/blog\/wp-content\/uploads\/2026\/08\/pasted-88e5f16d2c9b.jpg\" alt=\"Hugging Face\"\/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u505a\u8a9e\u610f\u641c\u5c0b\u3001\u5206\u985e\u6216\u6587\u4ef6\u805a\u985e\u6642\uff0cLLM\u5df2\u80fd\u5728\u591a\u9805\u6e2c\u8a66\u8ffd\u4e0a\u5c08\u9580\u7684\u6587\u5b57\u5d4c\u5165\u6a21\u578b\uff1b\u4f46\u6bcf\u6b21\u8a55\u6e2c\u6210\u672c\u6700\u9ad8\u76f8\u5dee1,431\u500d\uff0c\u4ee4\u300c\u662f\u5426\u61c9\u53d6\u4ee3Embedding pipeline\u300d\u6210\u70ba\u6210\u672c\u8207\u80fd\u529b\u4e4b\u9593\u7684\u53d6\u6368\u3002\u672c\u9801\u5c6c\u7814\u7a76\u8ad6\u6587\u5167\u5bb9\uff0c\u4e26\u975e\u53ef\u76f4\u63a5\u4e0b\u8f09\u7684\u55ae\u4e00\u6a21\u578b\u9801\u9762\uff1b\u672a\u6709\u63d0\u4f9b\u53ef\u78ba\u8a8d\u7684 base model \u6216 fine-tuned from \u8cc7\u8a0a\uff0c\u56e0\u6b64\u7121\u6cd5\u5224\u5b9a\u67d0\u500b\u6a21\u578b\u7684\u539f\u59cb\u57fa\u790e\u6a21\u578b\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u7814\u7a76\u6bd4\u8f0310\u500b\u3001\u4f86\u81ea6\u500b\u5bb6\u65cf\u7684 large language models (LLMs)\uff0c\u4ee5\u53ca26\u500b\u53c3\u6578\u91cf\u7531118M\u81f314B\u7684 embedding models\uff0c\u6e2c\u8a66\u6db5\u84cb37\u9805 MTEB(LLM) \u4efb\u52d9\uff0c\u5305\u62ec\u5206\u985e\u3001semantic textual similarity (STS)\u3001\u805a\u985e\u3001pair classification \u548c retrieval\u3002\u6700\u4f73 LLM Gemini 3.1 Pro \u5f97\u520677.6\uff0c\u6700\u4f73 embedding model \u5f97\u520677.2\uff0c\u5dee\u8ddd\u53ea\u67090.4\u5206\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Embedding models \u5728\u5206\u985e\u3001\u76f8\u4f3c\u5ea6\u548c\u805a\u985e\u8868\u73fe\u8f03\u5408\u9069<\/li>\n\n\n\n<li>LLM \u5728\u9700\u8981\u63a8\u7406\u7684 retrieval \u4efb\u52d9\u8f03\u6709\u512a\u52e2<\/li>\n\n\n\n<li>LLM \u6bcf\u6b21 benchmark pass \u6210\u672c\u7d04154\u7f8e\u5143\uff0cembedding model \u7d040.11\u7f8e\u5143<\/li>\n\n\n\n<li>\u958b\u6e90 LLM \u5728\u540c\u4e00 GPU \u4e0a\u6162\u7d042.5\u81f3736\u500d<\/li>\n\n\n\n<li>reasoning tokens \u4f54 LLM inference \u6210\u672c28%\u81f381%<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u7814\u7a76\u4ea6\u6307\u51fa\uff0c\u964d\u4f4e reasoning budget \u5c0d\u591a\u6578\u6a21\u578b\u7684 retrieval \u54c1\u8cea\u6c92\u6709\u660e\u986f\u50b7\u5bb3\uff0c\u53cd\u6620\u6df7\u5408\u5f0f\u6d41\u7a0b\u66f4\u5408\u7406\uff1a\u4ee5 embedding model \u8ca0\u8cac\u5927\u90e8\u5206\u76f8\u4f3c\u5ea6\u641c\u5c0b\uff0c\u518d\u628a\u9700\u8981\u7406\u89e3\u8a9e\u5883\u6216\u591a\u6b65\u63a8\u7406\u7684\u67e5\u8a62\u4ea4\u7d66 LLM\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/arxiv.org\/pdf\/2608.12875\" rel=\"noopener noreferrer\"><strong>Paper<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>LLM\u5df2\u80fd\u8ffd\u4e0a\u9802\u5c16Embedding\u6a21\u578b\uff0c\u4f46\u641c\u5c0b\u7cfb\u7d71\u672a\u5fc5\u503c\u5f97\u56e0\u6b64\u627f\u53d7\u9ad8\u6602\u6210\u672c\u3002<\/p>\n","protected":false},"author":8,"featured_media":11363,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"wpai_generated_summary":"","footnotes":""},"categories":[185,140,131,40,122,199,207],"tags":[],"class_list":["post-11364","post","type-post","status-publish","format-standard","hentry","category-qwen","category-gemini","category-embedding","category-llama","category-ollama","category-dataset-","category-kimi"],"_links":{"self":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/11364","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/comments?post=11364"}],"version-history":[{"count":1,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/11364\/revisions"}],"predecessor-version":[{"id":11366,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/posts\/11364\/revisions\/11366"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media\/11363"}],"wp:attachment":[{"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/media?parent=11364"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/categories?post=11364"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/infernews.com\/blog\/wp-json\/wp\/v2\/tags?post=11364"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}