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      <title>Allen&#39;s Blog</title>
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      <description>The purpose of this blog is to share his insights and experiences in the field of technology, programming, and personal thoughts.</description>
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      <managingEditor>wx657394554@163.com (Allen Wang)</managingEditor>
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  <item>
    <guid>https://allenblog.icu/blog/openclaw-deployment-blog</guid>
    <title>从零部署 OpenClaw 到 Telegram 的完整记录</title>
    <link>https://allenblog.icu/blog/openclaw-deployment-blog</link>
    <description>一篇完整的 OpenClaw 部署记录：从腾讯云服务器搭建、Docker 构建、GFW 绕行（Xray + Chromium 包装脚本翻墙）、Telegram Bot 接入、161 个 Skills 同步、记忆系统配置（远程 embedding 失败 → hf-mirror.com 镜像下载 → 本地 node-llama-cpp 模型）、浏览器自动化（/dev/shm OOM、SingletonLock 残留、CDP 端口推导、Chrome Profile 自动选择陷阱、Playwright snapshot 验证、GFW 导航超时根因分析），到 Claude Code 与 Telegram Bot 的双向记忆同步架构（SQLite → Markdown 导出 → GitHub 私有仓库 → cron 定时推送）。踩了 21 个坑，每个都有完整的根因分析。</description>
    <pubDate>Sun, 22 Feb 2026 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>AI</category><category>OpenClaw</category><category>Telegram Bot</category><category>DevOps</category><category>self-hosted</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/transformer-complete-guide</guid>
    <title>Transformer 完全指南：从注意力机制到 GPT/DeepSeek 架构，再到 LLM 使用技巧</title>
    <link>https://allenblog.icu/blog/transformer-complete-guide</link>
    <description>最全面的 Transformer 中文教程：从注意力直觉到 Q/K/V 手算，从多头注意力到位置编码，从 Encoder-Decoder 到 PyTorch 实现。涵盖 GPT-4/Claude/DeepSeek/LLaMA 架构对比、LLM 使用技巧的 Transformer 原理解析、2025-2026 前沿趋势（FlashAttention、Mamba/SSM、MoE），附 10 个交互式可视化和完整代码。</description>
    <pubDate>Mon, 09 Feb 2026 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>AI</category><category>Transformer</category><category>Attention</category><category>Self-Attention</category><category>BERT</category><category>GPT</category><category>NLP</category><category>PyTorch</category><category>Deep Learning</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/from-pretraining-to-peft-complete-guide</guid>
    <title>从预训练到参数高效微调：LoRA、Adapter 与 QLoRA 完全指南</title>
    <link>https://allenblog.icu/blog/from-pretraining-to-peft-complete-guide</link>
    <description>一篇从零开始的完整教程：从理解HuggingFace推理、预训练LLM、全量微调，到参数高效微调方法（Adapter、LoRA、QLoRA）的深度解析。包含大量PyTorch代码实现、数学原理和对比实验。</description>
    <pubDate>Sat, 07 Feb 2026 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>AI</category><category>LLM</category><category>Fine-tuning</category><category>LoRA</category><category>QLoRA</category><category>Adapter</category><category>PyTorch</category><category>HuggingFace</category><category>Deep Learning</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/midnight-thoughts-programmer-identity-crisis</guid>
    <title>深夜胡言：一个程序员在AI时代的身份危机</title>
    <link>https://allenblog.icu/blog/midnight-thoughts-programmer-identity-crisis</link>
    <description>年度Review前夜的深夜独白。关于焦虑、孤独、VibeCoding带来的身份危机，以及在AI革命浪潮中一个普通程序员的迷茫与思考。</description>
    <pubDate>Sun, 25 Jan 2026 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>writings</category><category>AI</category><category>career</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/LangGraph Reflection Agents</guid>
    <title>LangGraph Reflection Agents 完全指南：从原理到实战</title>
    <link>https://allenblog.icu/blog/LangGraph Reflection Agents</link>
    <description>深入解析 LangGraph 中的 Reflection Agents 技术，涵盖 Basic Reflection、Reflexion、LATS 三种核心方法，以及与 ReAct 的对比分析。包含完整代码示例和实战指南。</description>
    <pubDate>Thu, 25 Dec 2025 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>LangChain</category><category>LangGraph</category><category>AI Agent</category><category>Reflection</category><category>LLM</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/Deep Q-Learning - Lunar Lander</guid>
    <title>基于深度Q学习的月球着陆</title>
    <link>https://allenblog.icu/blog/Deep Q-Learning - Lunar Lander</link>
    <description>跟随本教程，学习如何应用深度Q学习（DQN）、经验回放和目标网络，从零开始训练一个能成功完成OpenAI Gym月球着陆器（Lunar Lander）任务的智能体。包含理论讲解、代码实现与结果展示。</description>
    <pubDate>Sun, 04 May 2025 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>Reinforcement Learning</category><category>Deep Q-Learning</category><category>DQN</category><category>Experience Replay</category><category>Target Network</category><category>OpenAI Gym</category><category>Lunar Lander</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/Collaborative_RecSys</guid>
    <title>协同过滤推荐系统实践实验</title>
    <link>https://allenblog.icu/blog/Collaborative_RecSys</link>
    <description>在本实验中，您将实现协同过滤算法来构建一个电影推荐系统。通过理论讲解、代码实现和实践操作，您将深入理解协同过滤的核心原理。让我们开始吧！</description>
    <pubDate>Mon, 28 Apr 2025 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>Machine Learning</category><category>Recommender System</category><category>Collaborative Filtering</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/RecSysNN_Assignment</guid>
    <title>构建电影推荐系统：协同过滤从理论到实践</title>
    <link>https://allenblog.icu/blog/RecSysNN_Assignment</link>
    <description>本文完整实现了基于协同过滤的电影推荐系统，使用TensorFlow框架在MovieLens数据集上完成了从理论推导到工程实践的全流程。通过矩阵分解方法学习用户偏好和电影特征，实现了包含正则化的成本函数和梯度下降优化，最终生成个性化Top10推荐列表。实验显示模型能准确预测用户评分并推荐高口碑电影，为推荐系统入门提供了完整的实践范例。</description>
    <pubDate>Mon, 28 Apr 2025 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>Machine Learning</category><category>Recommender Systems</category><category>Collaborative Filtering</category><category>TensorFlow</category><category>MovieLens Dataset</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/AnomalyDetection</guid>
    <title>异常检测：高斯模型在服务器异常检测中的应用</title>
    <link>https://allenblog.icu/blog/AnomalyDetection</link>
    <description>本文详细讲解了异常检测算法的原理与实现，从理论基础到实际应用，通过监测服务器指标来检测网络中的异常行为。</description>
    <pubDate>Mon, 21 Apr 2025 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>Machine Learning</category><category>Anomaly Detection</category><category>Gaussian Model</category><category>Data Science</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/k-means</guid>
    <title>K-means 聚类算法：从理论到图像压缩</title>
    <link>https://allenblog.icu/blog/k-means</link>
    <description>在这篇博客中，我们将深入探索 K-means 聚类算法，了解它如何将数据分组，并将其应用于图像压缩，减少图像颜色数量。</description>
    <pubDate>Sun, 20 Apr 2025 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>Machine Learning</category><category>Clustering</category><category>Image Processing</category><category>K-means</category><category>Python</category><category>Unsupervised Learning</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/DecisionTree</guid>
    <title>决策树实战：从零构建蘑菇分类器</title>
    <link>https://allenblog.icu/blog/DecisionTree</link>
    <description>从零开始构建一个决策树，用它来判断蘑菇是否可食用。通过理论讲解、代码实现和可视化，你将掌握决策树的核心原理。</description>
    <pubDate>Wed, 09 Apr 2025 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>Machine Learning</category><category>Decision Tree</category><category>Information Gain</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/C2_W3_Assignment3</guid>
    <title>机器学习模型评估与改进</title>
    <link>https://allenblog.icu/blog/C2_W3_Assignment3</link>
    <description>本文系统讲解机器学习模型评估的核心方法论，通过多项式回归与神经网络双视角，深入解析训练集/验证集/测试集的协同工作机制。结合梯度下降可视化与正则化技术，完整呈现从欠拟合识别、过拟合修正到模型泛化的全流程优化策略，并提供可复现的Python代码实现。</description>
    <pubDate>Sat, 05 Apr 2025 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>Machine Learning</category><category>Model Evaluation</category><category>Overfitting</category><category>Regularization</category><category>Neural Networks</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/C2_W2_Assignment2</guid>
    <title>多类分类神经网络：手写数字0-9识别</title>
    <link>https://allenblog.icu/blog/C2_W2_Assignment2</link>
    <description>本文通过TensorFlow实战，详解如何构建神经网络实现手写数字0-9的多分类识别，涵盖模型设计、训练优化与结果分析。</description>
    <pubDate>Mon, 31 Mar 2025 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>Machine Learning</category><category>Deep Learning</category><category>TensorFlow</category><category>Keras</category><category>Neural Networks</category><category>Multiclass Classification</category><category>Python</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/C2_W1_Assignment</guid>
    <title>二元分类神经网络：手写数字0/1识别</title>
    <link>https://allenblog.icu/blog/C2_W1_Assignment</link>
    <description>在这篇博客中，我们将深入探索如何使用神经网络实现手写数字0和1的二分类识别。</description>
    <pubDate>Sun, 30 Mar 2025 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>Machine Learning</category><category>Deep Learning</category><category>TensorFlow</category><category>Keras</category><category>Neural Networks</category><category>Python</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/C1_W3_Logistic_Regression</guid>
    <title>逻辑回归：从理论到实践</title>
    <link>https://allenblog.icu/blog/C1_W3_Logistic_Regression</link>
    <description>欢迎来到这场逻辑回归的学习之旅！我们将从头构建逻辑回归模型，预测学生录取和芯片质量。结合理论、Python代码和可视化，让你轻松掌握这一核心算法。</description>
    <pubDate>Tue, 25 Mar 2025 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>Machine Learning</category><category>Logistic Regression</category><category>Python</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/C1_W2_Linear_Regression</guid>
    <title>线性回归中的梯度下降法：从理论到实践</title>
    <link>https://allenblog.icu/blog/C1_W2_Linear_Regression</link>
    <description>欢迎体验这场关于线性回归和梯度下降的探索之旅！我们将深入探讨如何使用梯度下降法优化线性回归模型的参数 w 和 b，通过理论、代码和可视化帮你掌握这一核心算法。让我们开始吧！</description>
    <pubDate>Sat, 22 Mar 2025 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>Machine Learning</category><category>Linear Regression</category><category>Gradient Descent</category><category>Python</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/反射</guid>
    <title>Java反射机制详解与应用实践</title>
    <link>https://allenblog.icu/blog/反射</link>
    <description>深入解析Java反射机制的核心概念、使用方法及实际应用场景。</description>
    <pubDate>Sun, 23 Feb 2025 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>Java</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/The-Limitations-of-LLMs-in-Programming</guid>
    <title>LLM 在编程领域的局限性</title>
    <link>https://allenblog.icu/blog/The-Limitations-of-LLMs-in-Programming</link>
    <description>探讨 LLM 和当前 Agent 技术在编程方面的局限性</description>
    <pubDate>Sun, 09 Feb 2025 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>LLM</category><category>coding agent</category><category>context window</category><category>reasoning vs. coding</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/mysql-index-optimization</guid>
    <title>MySQL 索引优化实战：从原理到 EXPLAIN</title>
    <link>https://allenblog.icu/blog/mysql-index-optimization</link>
    <description>系统讲透 MySQL 索引优化：B+Tree 结构、最左前缀、回表与覆盖索引、EXPLAIN 判读、常见索引失效与修复策略，并配套交互式可视化。</description>
    <pubDate>Thu, 21 Mar 2024 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>MySQL</category><category>Index</category><category>Performance</category><category>Database</category>
  </item>

  <item>
    <guid>https://allenblog.icu/blog/github-markdown-guide</guid>
    <title>Markdown Guide</title>
    <link>https://allenblog.icu/blog/github-markdown-guide</link>
    <description>Markdown cheatsheet for all your blogging needs - headers, lists, images, tables and more! An illustrated guide based on GitHub Flavored Markdown.</description>
    <pubDate>Fri, 11 Oct 2019 00:00:00 GMT</pubDate>
    <author>wx657394554@163.com (Allen Wang)</author>
    <category>github</category><category>guide</category>
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