<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Tokenizer on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/tokenizer/</link><description>Recent content in Tokenizer on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Mon, 13 Jul 2026 00:40:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/tokenizer/index.xml" rel="self" type="application/rss+xml"/><item><title>多语言大模型的技术挑战与解决方案</title><link>https://guijiagi.com/posts/article-47/</link><pubDate>Mon, 13 Jul 2026 00:40:00 +0800</pubDate><guid>https://guijiagi.com/posts/article-47/</guid><description>从数据不平衡到跨语言迁移，多语言大模型的_core技术挑战与前沿解法</description></item><item><title>多语言大模型的技术挑战与解决方案</title><link>https://guijiagi.com/posts/b2-42dd7e26/</link><pubDate>Mon, 13 Jul 2026 00:40:00 +0800</pubDate><guid>https://guijiagi.com/posts/b2-42dd7e26/</guid><description>从数据不平衡到跨语言迁移，多语言大模型的_core技术挑战与前沿解法</description></item><item><title>分词器对比2026：BPE/SentencePiece/Unigram</title><link>https://guijiagi.com/posts/tokenizer-comparison-2026/</link><pubDate>Thu, 02 Jul 2026 11:11:00 +0800</pubDate><guid>https://guijiagi.com/posts/tokenizer-comparison-2026/</guid><description>全面对比BPE、WordPiece、Unigram和SentencePiece分词算法的原理与工程取舍</description></item><item><title>Tokenizer 全面对比：BPE vs WordPiece vs Unigram vs SentencePiece</title><link>https://guijiagi.com/posts/tokenizer-comparison/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/tokenizer-comparison/</guid><description>深入对比四种主流分词算法的原理、训练方法、优缺点及工程实现，涵盖 BPE、WordPiece、Unigram Language Model 和 SentencePiece。</description></item><item><title>特殊标记设计：从 [CLS] 到 ChatML 的 Prompt 格式演化</title><link>https://guijiagi.com/posts/tokenizer-special-tokens/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/tokenizer-special-tokens/</guid><description>梳理大语言模型特殊标记（Special Tokens）的设计演进，从 BERT 到 ChatML，再到现代模型的统一 Prompt 格式。</description></item><item><title>Tokenizer 原理详解：BPE/WordPiece/Unigram/SentencePiece</title><link>https://guijiagi.com/posts/tokenizer-internals/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/tokenizer-internals/</guid><description>深入解析主流分词算法的原理、训练过程与工程实现</description></item></channel></rss>