<?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>SFT on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/sft/</link><description>Recent content in SFT 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 07:00:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/sft/index.xml" rel="self" type="application/rss+xml"/><item><title>从数据标注到RLHF：对齐全流程实践</title><link>https://guijiagi.com/posts/article-85/</link><pubDate>Mon, 13 Jul 2026 07:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/article-85/</guid><description>系统梳理大模型对齐的完整流程，从数据标注到SFT到RLHF再到DPO的工程实践</description></item><item><title>大模型微调的数据工程全流程</title><link>https://guijiagi.com/posts/article-36/</link><pubDate>Sun, 12 Jul 2026 22:50:00 +0800</pubDate><guid>https://guijiagi.com/posts/article-36/</guid><description>从数据采集到质量评估，大模型微调数据工程的完整实践指南</description></item><item><title>大模型微调的数据工程全流程</title><link>https://guijiagi.com/posts/b2-e781991d/</link><pubDate>Sun, 12 Jul 2026 22:50:00 +0800</pubDate><guid>https://guijiagi.com/posts/b2-e781991d/</guid><description>从数据采集到质量评估，大模型微调数据工程的完整实践指南</description></item><item><title>指令微调配方详解：打造高质量监督微调数据集</title><link>https://guijiagi.com/posts/instruction-tuning-recipe/</link><pubDate>Thu, 02 Jul 2026 10:45:00 +0800</pubDate><guid>https://guijiagi.com/posts/instruction-tuning-recipe/</guid><description>深入探讨LLM指令微调的数据构建、配方设计与训练最佳实践</description></item><item><title>大模型训练流程：预训练/SFT/RLHF/DPO 全链路</title><link>https://guijiagi.com/posts/llm-training-pipeline-pretrain-sft-rlhf-dpo/</link><pubDate>Sun, 28 Jun 2026 11:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-training-pipeline-pretrain-sft-rlhf-dpo/</guid><description>系统解析大模型训练的四个阶段：预训练、监督微调、RLHF、DPO的原理、流程与2026年最佳实践</description></item><item><title>SFT 数据质量评估：Bad Data 如何毁掉你的微调</title><link>https://guijiagi.com/posts/sft-data-quality-assessment-bad-data-destroys-finetuning/</link><pubDate>Sun, 28 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/sft-data-quality-assessment-bad-data-destroys-finetuning/</guid><description>系统分析 SFT 数据质量问题对微调效果的影响，提供数据清洗、质量评估和持续监控的工程方案</description></item><item><title>指令微调指南：从 SFT 到 DPO</title><link>https://guijiagi.com/posts/instruction-tuning-guide/</link><pubDate>Wed, 24 Jun 2026 16:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/instruction-tuning-guide/</guid><description>系统讲解 LLM 指令微调全流程，从 SFT 数据构造到 DPO 直接偏好优化与 RLHF 对比</description></item></channel></rss>