<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[qq_53445310的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/qq_53445310</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; qq_53445310]]></copyright><item><title><![CDATA[硬链接与软链接：小白也能彻底搞懂的完整指南]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/167122332</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/167122332</guid><author>qq_53445310</author><pubDate>Mon, 05 Oct 2026 10:27:31 +0800</pubDate><description><![CDATA[用"给文件起别名"和"写着地址的纸条"两个比喻，从 inode 原理讲到 Windows mklink 与 Linux ln 的完整命令，附五个必踩的坑和一张速查表。]]></description><category></category></item><item><title><![CDATA[Linux查看本地环境变量的命令]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/163613237</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/163613237</guid><author>qq_53445310</author><pubDate>Sun, 09 Aug 2026 16:35:43 +0800</pubDate><description><![CDATA[【代码】Linux查看本地环境变量的命令。]]></description><category></category></item><item><title><![CDATA[LLM输出康熙部首冲突]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/163613184</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/163613184</guid><author>qq_53445310</author><pubDate>Sun, 09 Aug 2026 16:30:56 +0800</pubDate><description><![CDATA[康熙部首冲突是指 Unicode 编码中，康熙部首区（U+2F00–U+2FDF）的字符与基本汉字区（U+4E00–U+9FFF）的常用汉字字形相同但编码不同。这会导致文本搜索失败、乱码或字体显示异常。]]></description><category></category></item><item><title><![CDATA[常用向量数据库介绍]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/158893308</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/158893308</guid><author>qq_53445310</author><pubDate>Tue, 10 Mar 2026 21:52:12 +0800</pubDate><description><![CDATA[本文介绍了向量数据库的基本概念、优势及常见应用场景，对比分析了FAISS、Milvus、ChromaDB等主流向量数据库的特点和适用环境。向量数据库专为高维向量相似度搜索设计，相比传统数据库在处理语义搜索、推荐系统等任务时具有显著优势。文章提供了各数据库的简单代码示例，帮助本科生快速理解不同工具的使用方法，并根据项目需求选择合适的解决方案。]]></description><category></category></item><item><title><![CDATA[LLM 推理结果不一致]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/157725707</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/157725707</guid><author>qq_53445310</author><pubDate>Wed, 04 Feb 2026 10:35:29 +0800</pubDate><description><![CDATA[进行分类任务，多次推理同一条case，得到的分类结果不一致……]]></description><category></category></item><item><title><![CDATA[大模型微调训练FAQ - Loss与准确率关系]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/157516125</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/157516125</guid><author>qq_53445310</author><pubDate>Thu, 29 Jan 2026 20:03:33 +0800</pubDate><description><![CDATA[大模型微调训练FAQ摘要 核心要点 Loss含义：SFT训练中的loss是交叉熵损失，仅计算assistant回复部分的token预测差异，数值越小越好。 Loss与准确率关系：两者呈正相关但非线性，Loss下降初期准确率提升明显，后期边际效应递减。 日志解读： 训练loss显著低于验证loss（0.1435 vs 0.2582）表明轻微过拟合 token级准确率差距2.8%（95.4%→92.6%）说明模型泛化能力良好 极限值分析： 99%准确率理论上可能但极难实现 eval loss降至0.001基本不]]></description><category></category></item><item><title><![CDATA[大模型微调训练FAQ - 验证集与数据划分]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/157516119</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/157516119</guid><author>qq_53445310</author><pubDate>Thu, 29 Jan 2026 20:02:50 +0800</pubDate><description><![CDATA[大模型微调训练FAQ摘要 本文解答了关于验证集和数据划分的常见问题。验证集不直接影响训练结果，但通过模型选择和超参数调优间接影响性能。虽然技术上可将测试集用作验证集，但存在数据泄露和过拟合风险，建议采用测试集分割或三段式划分方案。train_sft.py中的shuffle操作和seed参数确保了数据均匀分布和实验可重现性。最佳实践包括遵循70-15-15数据划分原则、使用独立验证集、固定随机种子和详细记录实验过程。不同应用场景对测试集使用的风险容忍度不同，需根据实际情况选择合适方案。]]></description><category></category></item><item><title><![CDATA[大模型微调训练FAQ - Batch Size与参数配置]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/157440862</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/157440862</guid><author>qq_53445310</author><pubDate>Tue, 27 Jan 2026 22:11:21 +0800</pubDate><description><![CDATA[本文探讨了大模型微调训练中Batch Size与参数配置的关键问题。首先分析了Batch Size对显存使用、训练速度和模型效果的影响机制，详细解释了有效批次大小的计算方法。其次比较了不同配置方案（如12×1与6×2）在实际训练中的差异，包括梯度计算精度、数值稳定性和优化器状态更新等方面的区别。最后提供了实用的Batch Size优化策略，包括不同显存情况下的配置建议和监控指标，特别针对LoRA微调场景给出了具体调整方案。文章强调应根据硬件条件平衡性能与稳定性，并提供了测试流程和健康指标监控方法。]]></description><category></category></item><item><title><![CDATA[大模型微调训练FAQ - 训练日志解读]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/157440849</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/157440849</guid><author>qq_53445310</author><pubDate>Tue, 27 Jan 2026 22:10:22 +0800</pubDate><description><![CDATA[大模型微调训练日志解读指南 本文总结了训练日志中关键指标的含义和评估方法。主要指标包括训练loss、梯度范数、学习率、熵值、token准确率等，以及验证集的相应指标。文章详细说明了如何判断训练状态是否正常，识别梯度爆炸/消失、过拟合等异常信号，并给出调整策略建议。同时提供了多层次的监控方案，包括实时指标跟踪、定期验证评估和检查点管理策略。通过系统分析这些指标，可以有效监控训练过程并及时调整优化方向。]]></description><category></category></item><item><title><![CDATA[可话记录格式转换]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/156837897</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/156837897</guid><author>qq_53445310</author><pubDate>Mon, 12 Jan 2026 00:08:46 +0800</pubDate><description><![CDATA[摘要：为解决背景可话官方动态记录图文分离的痛点，作者开发了「kehua_show」格式转换工具，可将日志转为美观HTML页面，支持图文同步展示、九宫格排版、按月归档等功能，适配多终端。该工具已开源（GitHub地址），未来计划优化界面、简化操作流程并新增动态编写功能。（149字）]]></description><category></category></item><item><title><![CDATA[Gemini-3D粒子手势控制]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/155362841</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/155362841</guid><author>qq_53445310</author><pubDate>Fri, 28 Nov 2025 21:57:25 +0800</pubDate><description><![CDATA[HTML实现手势控制3D粒子图案]]></description><category></category></item><item><title><![CDATA[满屏祝福代码]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/154171241</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/154171241</guid><author>qq_53445310</author><pubDate>Fri, 31 Oct 2025 09:04:31 +0800</pubDate><description><![CDATA[这里通过触发每个窗口的space事件来销毁（假设窗口都绑定了space事件）# 实际更严谨的方式是保存所有window实例，这里为简化做此处理。"记得吃水果", "保持好心情", "好好爱自己", "我想你了",# 优化的退出功能：按空格销毁当前窗口，按ESC退出所有窗口并结束程序。"多喝水哦~", "保持微笑呀", "每天都要元气满满","别熬夜", "今天过得开心嘛", "天冷了，多穿衣服""顺顺利利", "早点休息", "愿所有烦恼都消失","梦想成真", "期待下一次见面", "金榜题名",]]></description><category></category></item><item><title><![CDATA[大模型入门参考资料汇总]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/151291420</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/151291420</guid><author>qq_53445310</author><pubDate>Sun, 07 Sep 2025 17:06:59 +0800</pubDate><description><![CDATA[基础概念，NLP/LLM相关算法，专有名词解释；常见模块介绍。工作内容常见范式，面试常见考点。]]></description><category></category></item><item><title><![CDATA[flash-attn安装失败解决方案]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/146020518</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/146020518</guid><author>qq_53445310</author><pubDate>Tue, 04 Mar 2025 17:00:15 +0800</pubDate><description><![CDATA[安装flash-attention2失败解决方案]]></description><category></category></item><item><title><![CDATA[Cursor 白嫖续费问题处理]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/144502483</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/144502483</guid><author>qq_53445310</author><pubDate>Mon, 16 Dec 2024 11:25:20 +0800</pubDate><description><![CDATA[当看到以下提示时重置Cursor试用期：
`too many free trial accounts used on this machine.`
两个解决方法]]></description><category></category></item><item><title><![CDATA[Cursor 点击login in 之后无反应]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/144179958</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/144179958</guid><author>qq_53445310</author><pubDate>Mon, 02 Dec 2024 09:30:33 +0800</pubDate><description><![CDATA[Cursor 点击login in 之后无反应解决方法]]></description><category></category></item><item><title><![CDATA[网关/路由设置]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/144130613</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/144130613</guid><author>qq_53445310</author><pubDate>Fri, 29 Nov 2024 10:59:33 +0800</pubDate><description><![CDATA[在Ubuntu系统中查看网关设置]]></description><category></category></item><item><title><![CDATA[htop命令介绍]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/144129733</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/144129733</guid><author>qq_53445310</author><pubDate>Fri, 29 Nov 2024 10:31:29 +0800</pubDate><description><![CDATA[htop 是一个交互式的进程查看器，这里介绍了htop常用的使用方法]]></description><category></category></item><item><title><![CDATA[查看Linux内存使用情况]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/144129556</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/144129556</guid><author>qq_53445310</author><pubDate>Fri, 29 Nov 2024 10:28:14 +0800</pubDate><description><![CDATA[在Linux系统中，有多种方式可以查看内存的使用情况。在这里介绍一些常用的方式]]></description><category></category></item><item><title><![CDATA[bibtex 介绍]]></title><link>https://blog.youkuaiyun.com/qq_53445310/article/details/143979154</link><guid>https://blog.youkuaiyun.com/qq_53445310/article/details/143979154</guid><author>qq_53445310</author><pubDate>Mon, 25 Nov 2024 10:12:48 +0800</pubDate><description><![CDATA[BibTeX格式介绍]]></description><category></category></item></channel></rss>