<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>道一AGI | DaoYi AGI</title><description>AI learning notes and technical reflections</description><link>https://daoyiagi.com/</link><language>zh-cn</language><item><title>欢迎来到道一AGI</title><link>https://daoyiagi.com/zh/posts/getting-started/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/getting-started/</guid><description>道一AGI的第一篇文章，介绍网站的内容方向和知识管理理念。</description><pubDate>Sat, 18 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Welcome to DaiYi AGI</title><link>https://daoyiagi.com/en/posts/getting-started/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/getting-started/</guid><description>The first article on DaiYi AGI, introducing the site&apos;s content direction and knowledge management philosophy.</description><pubDate>Sat, 18 Jul 2026 00:00:00 GMT</pubDate></item><item><title>LLM 训练基础设施指南</title><link>https://daoyiagi.com/zh/posts/llm-training-infra/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/llm-training-infra/</guid><description>从单卡到千卡集群，大模型训练的基础设施选型和搭建指南。</description><pubDate>Fri, 17 Jul 2026 00:00:00 GMT</pubDate></item><item><title>理解 Transformer 中的位置编码</title><link>https://daoyiagi.com/zh/posts/positional-encoding/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/positional-encoding/</guid><description>详解 Sinusoidal Position Encoding 和 Learned Position Embedding 的区别与实现。</description><pubDate>Thu, 16 Jul 2026 00:00:00 GMT</pubDate></item><item><title>2024 大语言模型年度综述</title><link>https://daoyiagi.com/zh/posts/llm-2024-review/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/llm-2024-review/</guid><description>回顾 2024 年大语言模型领域的重大进展和技术趋势。</description><pubDate>Wed, 15 Jul 2026 00:00:00 GMT</pubDate></item><item><title>2024 LLM Annual Review</title><link>https://daoyiagi.com/en/posts/llm-2024-review/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/llm-2024-review/</guid><description>A review of major advances and trends in Large Language Models during 2024.</description><pubDate>Wed, 15 Jul 2026 00:00:00 GMT</pubDate></item><item><title>搭建个人 RAG 知识库</title><link>https://daoyiagi.com/zh/posts/personal-rag-kb/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/personal-rag-kb/</guid><description>从零搭建一个基于个人文档的 RAG 问答系统。</description><pubDate>Tue, 14 Jul 2026 00:00:00 GMT</pubDate></item><item><title>构建 AI Agent 工作流</title><link>https://daoyiagi.com/zh/posts/agent-workflow/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/agent-workflow/</guid><description>设计一个基于 ReAct 模式的 AI Agent，具备思考、行动、观察、反思的循环能力。</description><pubDate>Mon, 13 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Building AI Agent Workflows</title><link>https://daoyiagi.com/en/posts/agent-workflow/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/agent-workflow/</guid><description>Design a ReAct-based AI Agent with think-act-observe loops.</description><pubDate>Mon, 13 Jul 2026 00:00:00 GMT</pubDate></item><item><title>图解 Transformer 注意力机制</title><link>https://daoyiagi.com/zh/posts/attention-visual-guide/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/attention-visual-guide/</guid><description>用直观的图解方式理解 Self-Attention 的计算过程。</description><pubDate>Sun, 12 Jul 2026 00:00:00 GMT</pubDate></item><item><title>多 Agent 协作模式探索</title><link>https://daoyiagi.com/zh/posts/multi-agent-collaboration/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/multi-agent-collaboration/</guid><description>分析多 Agent 系统的协作模式：顺序、并行、辩论和层级结构。</description><pubDate>Sun, 12 Jul 2026 00:00:00 GMT</pubDate></item><item><title>从 RAG 看 AI 架构的演进</title><link>https://daoyiagi.com/zh/posts/rag-architecture-evolution/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/rag-architecture-evolution/</guid><description>从检索增强生成的演变，思考 AI 系统架构的设计哲学。</description><pubDate>Sat, 11 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Transformer 架构详解</title><link>https://daoyiagi.com/zh/posts/transformer-architecture/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/transformer-architecture/</guid><description>深入理解 Transformer 的核心组件：Self-Attention、Multi-Head Attention、位置编码和前馈网络。</description><pubDate>Fri, 10 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Transformer Architecture Explained</title><link>https://daoyiagi.com/en/posts/transformer-architecture/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/transformer-architecture/</guid><description>A deep dive into Transformer core components: Self-Attention, Multi-Head Attention, Positional Encoding, and Feed-Forward Networks.</description><pubDate>Fri, 10 Jul 2026 00:00:00 GMT</pubDate></item><item><title>注意力机制深入理解</title><link>https://daoyiagi.com/zh/posts/attention-mechanism/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/attention-mechanism/</guid><description>从数学原理到直观理解，深入剖析注意力机制的工作方式。</description><pubDate>Thu, 09 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Understanding Attention Mechanism</title><link>https://daoyiagi.com/en/posts/attention-mechanism/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/attention-mechanism/</guid><description>From mathematical principles to intuitive understanding — a deep analysis of how attention works.</description><pubDate>Thu, 09 Jul 2026 00:00:00 GMT</pubDate></item><item><title>大模型预训练技术概览</title><link>https://daoyiagi.com/zh/posts/llm-pretraining/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/llm-pretraining/</guid><description>梳理大语言模型预训练的核心技术：数据准备、并行策略和训练稳定性。</description><pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate></item><item><title>RAG 生产落地避坑指南</title><link>https://daoyiagi.com/zh/posts/rag-production-pitfalls/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/rag-production-pitfalls/</guid><description>分享 RAG 系统从原型到生产环境遇到的常见问题和解决方案。</description><pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate></item><item><title>RLHF 原理与实践</title><link>https://daoyiagi.com/zh/posts/rlhf-principles/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/rlhf-principles/</guid><description>深入理解 RLHF 三阶段：SFT、奖励模型训练和 PPO 强化学习。</description><pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate></item><item><title>MoE 混合专家模型解析</title><link>https://daoyiagi.com/zh/posts/moe-explained/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/moe-explained/</guid><description>解析 Mixture of Experts 架构如何在不显著增加推理成本的前提下扩展模型容量。</description><pubDate>Mon, 06 Jul 2026 00:00:00 GMT</pubDate></item><item><title>神经网络基础回顾</title><link>https://daoyiagi.com/zh/posts/neural-network-foundations/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/neural-network-foundations/</guid><description>回顾神经网络的核心概念：反向传播、梯度下降、激活函数和正则化。</description><pubDate>Sun, 05 Jul 2026 00:00:00 GMT</pubDate></item><item><title>用 PyTorch 实现 Transformer</title><link>https://daoyiagi.com/zh/posts/pytorch-transformer/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/pytorch-transformer/</guid><description>从零开始用 PyTorch 实现一个完整的 Transformer 模型。</description><pubDate>Sun, 05 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Implementing Transformer in PyTorch</title><link>https://daoyiagi.com/en/posts/pytorch-transformer/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/pytorch-transformer/</guid><description>Build a complete Transformer model from scratch using PyTorch.</description><pubDate>Sun, 05 Jul 2026 00:00:00 GMT</pubDate></item><item><title>LangChain 实战：构建 RAG 应用</title><link>https://daoyiagi.com/zh/posts/langchain-rag/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/langchain-rag/</guid><description>使用 LangChain 框架搭建一个完整的 RAG 问答系统。</description><pubDate>Sat, 04 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Building RAG Apps with LangChain</title><link>https://daoyiagi.com/en/posts/langchain-rag/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/langchain-rag/</guid><description>Build a complete RAG Q&amp;A system using the LangChain framework.</description><pubDate>Sat, 04 Jul 2026 00:00:00 GMT</pubDate></item><item><title>LoRA 微调实战</title><link>https://daoyiagi.com/zh/posts/lora-finetune/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/lora-finetune/</guid><description>使用 LoRA 技术在消费级显卡上微调大语言模型。</description><pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate></item><item><title>vLLM 部署指南</title><link>https://daoyiagi.com/zh/posts/vllm-deploy/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/vllm-deploy/</guid><description>使用 vLLM 高效部署大语言模型推理服务。</description><pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Agent 框架对比：AutoGPT vs MetaGPT</title><link>https://daoyiagi.com/zh/posts/agent-framework-comparison/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/agent-framework-comparison/</guid><description>对比主流 AI Agent 框架的设计理念和适用场景。</description><pubDate>Wed, 01 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Agent Framework Comparison</title><link>https://daoyiagi.com/en/posts/agent-framework-comparison/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/agent-framework-comparison/</guid><description>A comparison of major AI Agent framework design philosophies and use cases.</description><pubDate>Wed, 01 Jul 2026 00:00:00 GMT</pubDate></item><item><title>读《Attention Is All You Need》</title><link>https://daoyiagi.com/zh/posts/reading-attention-paper/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/reading-attention-paper/</guid><description>重读 Transformer 原始论文的收获与思考。</description><pubDate>Tue, 30 Jun 2026 00:00:00 GMT</pubDate></item><item><title>AGI 离我们还有多远</title><link>https://daoyiagi.com/zh/posts/agi-how-far/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/agi-how-far/</guid><description>关于通用人工智能时间线的个人思考。</description><pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate></item><item><title>How Far Are We From AGI</title><link>https://daoyiagi.com/en/posts/agi-how-far/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/agi-how-far/</guid><description>Personal reflections on the timeline toward Artificial General Intelligence.</description><pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate></item><item><title>开源 vs 闭源大模型之争</title><link>https://daoyiagi.com/zh/posts/open-source-vs-closed/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/open-source-vs-closed/</guid><description>探讨开源和闭源大模型各自的优势与局限。</description><pubDate>Sun, 28 Jun 2026 00:00:00 GMT</pubDate></item><item><title>AI 对齐问题的哲学思考</title><link>https://daoyiagi.com/zh/posts/ai-alignment-philosophy/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/ai-alignment-philosophy/</guid><description>从哲学角度思考 AI 对齐问题的本质和可能的解决路径。</description><pubDate>Sat, 27 Jun 2026 00:00:00 GMT</pubDate></item><item><title>从零构建 GPT 模型</title><link>https://daoyiagi.com/zh/posts/build-gpt-from-scratch/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/build-gpt-from-scratch/</guid><description>手把手教你从零实现一个迷你 GPT 模型。</description><pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate></item><item><title>Building GPT From Scratch</title><link>https://daoyiagi.com/en/posts/build-gpt-from-scratch/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/build-gpt-from-scratch/</guid><description>Step-by-step guide to building a mini GPT model from scratch.</description><pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate></item><item><title>Prompt Engineering 完全指南</title><link>https://daoyiagi.com/zh/posts/prompt-engineering-guide/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/prompt-engineering-guide/</guid><description>系统学习 Prompt Engineering 的核心技巧和最佳实践。</description><pubDate>Thu, 25 Jun 2026 00:00:00 GMT</pubDate></item><item><title>Prompt Engineering Complete Guide</title><link>https://daoyiagi.com/en/posts/prompt-engineering-guide/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/prompt-engineering-guide/</guid><description>A systematic guide to Prompt Engineering techniques and best practices.</description><pubDate>Thu, 25 Jun 2026 00:00:00 GMT</pubDate></item><item><title>Function Calling 入门教程</title><link>https://daoyiagi.com/zh/posts/function-calling-tutorial/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/function-calling-tutorial/</guid><description>学习如何使用 LLM 的 Function Calling 能力构建智能应用。</description><pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate></item><item><title>向量数据库入门：Pinecone vs Milvus</title><link>https://daoyiagi.com/zh/posts/vector-db-comparison/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/vector-db-comparison/</guid><description>对比两大主流向量数据库 Pinecone 和 Milvus 的特性与选型建议。</description><pubDate>Tue, 23 Jun 2026 00:00:00 GMT</pubDate></item><item><title>Vector Database: Pinecone vs Milvus</title><link>https://daoyiagi.com/en/posts/vector-db-comparison/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/vector-db-comparison/</guid><description>A comparison of the two leading vector databases for RAG applications.</description><pubDate>Tue, 23 Jun 2026 00:00:00 GMT</pubDate></item><item><title>RAG 技术综述</title><link>https://daoyiagi.com/zh/posts/rag-survey/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/rag-survey/</guid><description>系统梳理 RAG 的技术演进、核心组件和前沿研究方向。</description><pubDate>Sun, 21 Jun 2026 00:00:00 GMT</pubDate></item><item><title>RAG Technology Survey</title><link>https://daoyiagi.com/en/posts/rag-survey/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/rag-survey/</guid><description>A systematic survey of RAG technology evolution, core components, and cutting-edge research.</description><pubDate>Sun, 21 Jun 2026 00:00:00 GMT</pubDate></item><item><title>多模态大模型综述</title><link>https://daoyiagi.com/zh/posts/multimodal-survey/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/multimodal-survey/</guid><description>综述多模态大模型的发展现状、核心技术和代表性工作。</description><pubDate>Fri, 19 Jun 2026 00:00:00 GMT</pubDate></item><item><title>AI Agent 研究现状与展望</title><link>https://daoyiagi.com/zh/posts/ai-agent-survey/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/ai-agent-survey/</guid><description>全面梳理 AI Agent 的研究进展、核心能力和未来方向。</description><pubDate>Thu, 18 Jun 2026 00:00:00 GMT</pubDate></item><item><title>2025 AI Agent 技术报告</title><link>https://daoyiagi.com/zh/posts/agent-tech-report-2025/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/agent-tech-report-2025/</guid><description>全面梳理 2025 年 AI Agent 领域的关键进展、代表性框架和行业落地情况。</description><pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate></item></channel></rss>