<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>谢bro的研究笔记</title><description>记录谢bro的研究随想和见闻。</description><link>https://xjiajiahao.github.io/</link><language>zh-CN</language><item><title>Agent 智能体系统：从执行闭环到 Harness 设计</title><link>https://xjiajiahao.github.io/articles/agent-architecture-tools-memory-and-reliable-execution/</link><guid isPermaLink="true">https://xjiajiahao.github.io/articles/agent-architecture-tools-memory-and-reliable-execution/</guid><description>从任务执行闭环出发，梳理 Harness 的执行控制、上下文与记忆、工具与协议、安全隔离、验证和恢复。</description><pubDate>Thu, 15 Oct 2026 00:00:00 GMT</pubDate><category>Agent</category><category>Harness</category><category>工具调用</category><category>记忆</category></item><item><title>大模型微调：从 SFT、RLHF 到 DPO 与 GRPO</title><link>https://xjiajiahao.github.io/articles/llm-fine-tuning-and-preference-optimization/</link><guid isPermaLink="true">https://xjiajiahao.github.io/articles/llm-fine-tuning-and-preference-optimization/</guid><description>比较 SFT、RLHF、PPO、DPO 与 GRPO 的数据、目标和工程边界，并建立是否应该微调的决策路径。</description><pubDate>Thu, 08 Oct 2026 00:00:00 GMT</pubDate><category>微调</category><category>RLHF</category><category>DPO</category><category>GRPO</category></item><item><title>数学与机器学习 Cheat Sheets</title><link>https://xjiajiahao.github.io/articles/math-and-machine-learning-cheat-sheets/</link><guid isPermaLink="true">https://xjiajiahao.github.io/articles/math-and-machine-learning-cheat-sheets/</guid><description>汇总优化不等式、矩阵分析、概率论、Metropolis–Hastings 与最优传输中的常用定义、公式和推导。</description><pubDate>Sun, 04 Oct 2026 00:00:00 GMT</pubDate><category>数学</category><category>机器学习</category><category>概率论</category><category>优化</category></item><item><title>RAG 检索系统：索引、融合、重排与 Agentic Retrieval</title><link>https://xjiajiahao.github.io/articles/rag-retrieval-systems/</link><guid isPermaLink="true">https://xjiajiahao.github.io/articles/rag-retrieval-systems/</guid><description>从企业知识库场景出发，梳理解析、索引、混合召回、融合、重排、引用与评测构成的完整证据链。</description><pubDate>Thu, 17 Sep 2026 00:00:00 GMT</pubDate><category>RAG</category><category>检索</category><category>向量数据库</category><category>Agent</category></item><item><title>Decoder-only Transformer、长上下文与 Agent 后训练</title><link>https://xjiajiahao.github.io/articles/decoder-only-transformer-dataflow/</link><guid isPermaLink="true">https://xjiajiahao.github.io/articles/decoder-only-transformer-dataflow/</guid><description>沿着一次 token 生成，拆解 Decoder-only Transformer 的前向计算、训练推理、长上下文机制与 Agent 能力形成路径。</description><pubDate>Sun, 13 Sep 2026 00:00:00 GMT</pubDate><category>Transformer</category><category>LLM</category><category>长上下文</category></item></channel></rss>