<?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>示例选择 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E7%A4%BA%E4%BE%8B%E9%80%89%E6%8B%A9/</link><description>Recent content in 示例选择 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>Tue, 30 Jun 2026 10:55:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E7%A4%BA%E4%BE%8B%E9%80%89%E6%8B%A9/index.xml" rel="self" type="application/rss+xml"/><item><title>Few-shot Prompting 2026：示例选择与排列优化</title><link>https://guijiagi.com/posts/few-shot-prompting-2026-example-selection/</link><pubDate>Tue, 30 Jun 2026 10:55:00 +0800</pubDate><guid>https://guijiagi.com/posts/few-shot-prompting-2026-example-selection/</guid><description>深入探讨2026年Few-shot Prompting的最佳实践，涵盖示例选择算法、排列优化策略、跨语言Few-shot等进阶技术</description></item><item><title>Few-Shot Prompt 优化：示例选择的算法化方法</title><link>https://guijiagi.com/posts/few-shot-prompt-optimization/</link><pubDate>Sun, 28 Jun 2026 10:40:00 +0800</pubDate><guid>https://guijiagi.com/posts/few-shot-prompt-optimization/</guid><description>从人工选择到算法化选择：Few-Shot Prompt示例选择的最新方法与实现</description></item><item><title>Few-Shot Prompting最佳实践</title><link>https://guijiagi.com/posts/few-shot-prompting-best-practices/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/few-shot-prompting-best-practices/</guid><description>从示例选择到格式优化的Few-Shot Prompting全面实践指南</description></item><item><title>Few-shot Prompt 设计艺术：示例即编程</title><link>https://guijiagi.com/posts/few-shot-prompt-design/</link><pubDate>Wed, 24 Jun 2026 14:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/few-shot-prompt-design/</guid><description>系统讲解 Few-shot Prompt 设计的原理、示例选择策略、顺序效应、格式设计与 Fine-tune 的边界判断。</description></item></channel></rss>