<?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>NLP on GopherDing's Blog</title><link>/categories/nlp/</link><description>Recent content in NLP on GopherDing's Blog</description><generator>Hugo -- gohugo.io</generator><language>zh</language><managingEditor>GopherDing</managingEditor><webMaster>GopherDing</webMaster><lastBuildDate>Wed, 08 Apr 2026 15:55:23 +0800</lastBuildDate><atom:link href="/categories/nlp/index.xml" rel="self" type="application/rss+xml"/><item><title>速通 AI（四）：预训练语言模型——BERT 与 GPT</title><link>/posts/tech/%E9%80%9F%E9%80%9A-ai%E5%9B%9B%E9%A2%84%E8%AE%AD%E7%BB%83%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8Bbert-%E4%B8%8E-gpt/</link><pubDate>Wed, 08 Apr 2026 15:55:23 +0800</pubDate><author>GopherDing</author><guid>/posts/tech/%E9%80%9F%E9%80%9A-ai%E5%9B%9B%E9%A2%84%E8%AE%AD%E7%BB%83%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8Bbert-%E4%B8%8E-gpt/</guid><description>「速通 AI」系列第四篇：掌握 BERT/GPT 预训练模型，熟练使用 HuggingFace 生态。</description></item><item><title>速通 AI（三）：Transformer 架构详解</title><link>/posts/tech/%E9%80%9F%E9%80%9A-ai%E4%B8%89transformer-%E6%9E%B6%E6%9E%84%E8%AF%A6%E8%A7%A3/</link><pubDate>Sun, 05 Apr 2026 15:55:23 +0800</pubDate><author>GopherDing</author><guid>/posts/tech/%E9%80%9F%E9%80%9A-ai%E4%B8%89transformer-%E6%9E%B6%E6%9E%84%E8%AF%A6%E8%A7%A3/</guid><description>「速通 AI」系列第三篇（上）：深入理解 Transformer 架构——Self-Attention、多头注意力、位置编码、Encoder/Decoder。</description></item></channel></rss>