Dr. Melanie Li https://validator.w3.org/feed/docs/rss2.html SKILL.md Is Quietly Replacing Team Wikis Agent Foundry and Why Heavy Skills Backfire SKILL0 Puts Skills in the Weights Graph of Skills and PageRank for Agent Skill Retrieval Hermes and the Closed Learning Loop Context Engineering and the Real Agent Problem Notes on Agent Skill Evolution Learning Notes OpenClaw 深度技术分析：安装、安全与最佳实践指南 Silent Awakening – Chapter Nine: The Silence Silent Awakening – Chapter Eight: The Dialogue Silent Awakening – Chapter Seven: The Truth Silent Awakening – Chapter Six: The Laboratory of Human Nature Silent Awakening – Chapter Five: Iteration Silent Awakening – Chapter Four: Patient Zero Silent Awakening – Chapter Three: Undercurrents Silent Awakening – Chapter Two: The Cracks Silent Awakening – Chapter One: The Normal World Silent Awakening · 寂静觉醒 — Chapter 9 Silent Awakening · 寂静觉醒 — Chapter 8 Silent Awakening – Ch 7 Silent Awakening – Ch 6 Silent Awakening – Ch 5 Silent Awakening – Chapter 4 Silent Awakening – Ch 3 Silent Awakening – Chapter 2 Silent Awakening – Chapter 1 推理模型笔记：Qwen3源码深度解读 推理模型笔记 Ch8：推理蒸馏 — 小模型也能深度思考 推理模型笔记 Ch7：改进GRPO — 更稳定的训练 推理模型笔记 Ch6：GRPO强化学习训练推理能力 推理模型笔记 Ch5：自我优化 — 让模型越想越好 推理模型笔记 Ch4：Inference-Time Scaling — 推理时的智慧 推理模型笔记 Ch3：如何评估推理模型 推理模型笔记 Ch2：使用Qwen3生成文本 LLM学习笔记：LoRA — 高效微调的秘密武器 LLM学习笔记 Ch7：指令微调 — 从基座到助手 LLM学习笔记 Ch6：文本分类微调实战 LLM学习笔记 Ch5：预训练 — 让模型学会语言 LLM学习笔记 Ch4：从零实现GPT模型架构 LLM学习笔记 Ch3：注意力机制 — LLM的核心引擎 LLM学习笔记 Ch2：Tokenization与文本处理 — LLM的第一步 The Complete Guide to RAG on AWS — Architecture, Deep Dives & Evaluation How I Used AI to Write a 330,000-Character Sci-Fi Novel Tech Thoughts Running Claude Agent SDK Inside OpenClaw on AgentCore Claude Code Best Practices: From Zero to Hero Deploy OpenClaw on AWS with Amazon Bedrock AgentCore Amazon Bedrock AgentCore Memory: Isolation Patterns for Multi-Agent Applications Home