<?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>我为什么开始写这个网站</title><link>https://daoyiagi.com/zh/posts/why-i-started-this-site/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/why-i-started-this-site/</guid><description>从零搭建道一AGI的故事——为什么要做个人知识分享，工具选型的心路历程，以及一年来的收获。</description><pubDate>Wed, 22 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Why I Started This Site</title><link>https://daoyiagi.com/en/posts/why-i-started-this-site/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/why-i-started-this-site/</guid><description>The story of building Daoyi AGI from scratch — why personal knowledge sharing matters, the tool selection journey, and what I&apos;ve gained.</description><pubDate>Wed, 22 Jul 2026 00:00:00 GMT</pubDate></item><item><title>GPT 系列模型演进史</title><link>https://daoyiagi.com/zh/posts/gpt-evolution/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/gpt-evolution/</guid><description>从 GPT-1 到 GPT-4o，梳理 OpenAI 每一代模型的核心创新、训练数据和关键能力突破。</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate></item><item><title>GPT Series Evolution</title><link>https://daoyiagi.com/en/posts/gpt-evolution/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/gpt-evolution/</guid><description>From GPT-1 to GPT-4o, tracing OpenAI&apos;s core innovations across each generation: training data, key breakthroughs, and capability leaps.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Transformer 注意力机制详解</title><link>https://daoyiagi.com/zh/posts/transformer-attention/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/transformer-attention/</guid><description>从直觉到数学，逐层拆解 Self-Attention、Multi-Head Attention 的工作原理，附带完整 Python 实现。</description><pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Transformer Attention Mechanism Explained</title><link>https://daoyiagi.com/en/posts/transformer-attention/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/transformer-attention/</guid><description>From intuition to mathematics, a layer-by-layer breakdown of Self-Attention and Multi-Head Attention with complete Python implementation.</description><pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate></item><item><title>RAG 检索增强生成实战</title><link>https://daoyiagi.com/zh/posts/rag-practice/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/rag-practice/</guid><description>向量数据库 + LLM，从零构建知识问答系统——完整的分块策略、检索优化和评估方法。</description><pubDate>Sat, 18 Jul 2026 00:00:00 GMT</pubDate></item><item><title>RAG Retrieval-Augmented Generation in Practice</title><link>https://daoyiagi.com/en/posts/rag-practice/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/rag-practice/</guid><description>Vector database + LLM — building a knowledge Q&amp;A system from scratch: chunking strategies, retrieval optimization, and evaluation methods.</description><pubDate>Sat, 18 Jul 2026 00:00:00 GMT</pubDate></item><item><title>LoRA 微调入门</title><link>https://daoyiagi.com/zh/posts/lora-finetuning/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/lora-finetuning/</guid><description>低秩适配技术让消费级显卡也能微调大模型，本文讲解 LoRA 原理和 QLoRA 实践。</description><pubDate>Fri, 17 Jul 2026 00:00:00 GMT</pubDate></item><item><title>LoRA Fine-Tuning Guide</title><link>https://daoyiagi.com/en/posts/lora-finetuning/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/lora-finetuning/</guid><description>Low-Rank Adaptation enables fine-tuning large models on consumer GPUs. Learn the principles behind LoRA and QLoRA.</description><pubDate>Fri, 17 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Prompt Engineering 方法论</title><link>https://daoyiagi.com/zh/posts/prompt-engineering/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/prompt-engineering/</guid><description>系统梳理 Few-shot、Chain-of-Thought、结构化输出等 Prompt 技术的原理和实践。</description><pubDate>Thu, 16 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Prompt Engineering Methodology</title><link>https://daoyiagi.com/en/posts/prompt-engineering/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/prompt-engineering/</guid><description>A systematic overview of Few-shot, Chain-of-Thought, and structured output prompting techniques.</description><pubDate>Thu, 16 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Agent 设计模式</title><link>https://daoyiagi.com/zh/posts/agent-design-patterns/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/agent-design-patterns/</guid><description>梳理 AI Agent 的三大主流设计模式及选型建议：ReAct、Plan-and-Execute、Multi-Agent 协作。</description><pubDate>Wed, 15 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Agent Design Patterns</title><link>https://daoyiagi.com/en/posts/agent-design-patterns/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/agent-design-patterns/</guid><description>The three major AI Agent design patterns: ReAct, Plan-and-Execute, and Multi-Agent collaboration.</description><pubDate>Wed, 15 Jul 2026 00:00:00 GMT</pubDate></item><item><title>LLM 推理优化</title><link>https://daoyiagi.com/zh/posts/llm-inference-optimization/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/llm-inference-optimization/</guid><description>梳理 KV Cache、Flash Attention、模型量化等 LLM 推理加速技术。</description><pubDate>Tue, 14 Jul 2026 00:00:00 GMT</pubDate></item><item><title>LLM Inference Optimization</title><link>https://daoyiagi.com/en/posts/llm-inference-optimization/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/llm-inference-optimization/</guid><description>A survey of LLM inference acceleration: KV Cache, Flash Attention, and model quantization.</description><pubDate>Tue, 14 Jul 2026 00:00:00 GMT</pubDate></item><item><title>多模态大模型现状</title><link>https://daoyiagi.com/zh/posts/multimodal-llm/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/multimodal-llm/</guid><description>GPT-4V、Gemini、LLaVA 等主流多模态模型的技术路线和架构对比。</description><pubDate>Mon, 13 Jul 2026 00:00:00 GMT</pubDate></item><item><title>The State of Multimodal LLMs</title><link>https://daoyiagi.com/en/posts/multimodal-llm/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/multimodal-llm/</guid><description>Technical approaches and architecture comparison of GPT-4V, Gemini, LLaVA, and other multimodal models.</description><pubDate>Mon, 13 Jul 2026 00:00:00 GMT</pubDate></item><item><title>用 Obsidian 做 AI 知识管理</title><link>https://daoyiagi.com/zh/posts/obsidian-ai-knowledge/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/obsidian-ai-knowledge/</guid><description>如何用 Obsidian 组织 AI 学习笔记：模板体系、标签策略、双链实践。</description><pubDate>Sun, 12 Jul 2026 00:00:00 GMT</pubDate></item><item><title>AI Knowledge Management with Obsidian</title><link>https://daoyiagi.com/en/posts/obsidian-ai-knowledge/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/obsidian-ai-knowledge/</guid><description>How to organize AI learning notes with Obsidian: template system, tagging strategy, and bidirectional linking practices.</description><pubDate>Sun, 12 Jul 2026 00:00:00 GMT</pubDate></item><item><title>搭建个人 AI 第二大脑</title><link>https://daoyiagi.com/zh/posts/ai-second-brain/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/ai-second-brain/</guid><description>Obsidian + RAG + LLM：构建一个能和你对话的个人知识库。</description><pubDate>Sat, 11 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Building a Personal AI Second Brain</title><link>https://daoyiagi.com/en/posts/ai-second-brain/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/ai-second-brain/</guid><description>Obsidian + RAG + LLM: building a knowledge base that can converse with you.</description><pubDate>Sat, 11 Jul 2026 00:00:00 GMT</pubDate></item><item><title>AI 行业趋势观察</title><link>https://daoyiagi.com/zh/posts/ai-2025-review/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/ai-2025-review/</guid><description>观察 AI 行业正在发生的关键变化：从模型竞赛到应用落地，从闭源到开源，从云端到端侧。</description><pubDate>Fri, 10 Jul 2026 00:00:00 GMT</pubDate></item><item><title>AI Industry Trend Watch</title><link>https://daoyiagi.com/en/posts/ai-trend-watch/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/ai-trend-watch/</guid><description>Observing key shifts in the AI industry: from model competition to application deployment, from closed to open source, from cloud to edge.</description><pubDate>Fri, 10 Jul 2026 00:00:00 GMT</pubDate></item><item><title>OpenAI vs Anthropic：两条路线</title><link>https://daoyiagi.com/zh/posts/openai-vs-anthropic/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/openai-vs-anthropic/</guid><description>产品化 vs 安全优先：两家 AI 领头羊的战略分歧和各自优势。</description><pubDate>Thu, 09 Jul 2026 00:00:00 GMT</pubDate></item><item><title>OpenAI vs Anthropic: Two Paths</title><link>https://daoyiagi.com/en/posts/openai-vs-anthropic/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/openai-vs-anthropic/</guid><description>Productization vs safety-first: the strategic divergence of two AI leaders and their respective advantages.</description><pubDate>Thu, 09 Jul 2026 00:00:00 GMT</pubDate></item><item><title>国产大模型的竞争格局</title><link>https://daoyiagi.com/zh/posts/china-llm-landscape/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/china-llm-landscape/</guid><description>观察国内大模型赛道的几个关键趋势：开源生态、价格竞争、差异化路线。</description><pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate></item><item><title>China&apos;s LLM Competitive Landscape</title><link>https://daoyiagi.com/en/posts/china-llm-landscape/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/china-llm-landscape/</guid><description>Key trends in China&apos;s domestic LLM race: open-source ecosystem, price competition, and differentiation strategies.</description><pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Apple Intelligence 意味着什么</title><link>https://daoyiagi.com/zh/posts/apple-intelligence/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/apple-intelligence/</guid><description>Apple 入局 AI 对行业的影响：端侧推理成为标配，隐私从卖点变成准入门槛。</description><pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate></item><item><title>What Apple Intelligence Means</title><link>https://daoyiagi.com/en/posts/apple-intelligence/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/apple-intelligence/</guid><description>Apple&apos;s entry into AI: edge inference becomes the standard, privacy shifts from selling point to entry requirement.</description><pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate></item><item><title>开源 LLM 能否追上闭源</title><link>https://daoyiagi.com/zh/posts/open-source-llm/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/open-source-llm/</guid><description>分析 Llama、Mistral、通义千问等开源模型与 GPT-4、Claude 的能力差距和追赶路径。</description><pubDate>Mon, 06 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Can Open-Source LLMs Catch Up</title><link>https://daoyiagi.com/en/posts/open-source-llm/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/open-source-llm/</guid><description>Analyzing the gap between open-source models (Llama, Mistral, Qwen) and closed-source models (GPT-4, Claude), and their catch-up trajectory.</description><pubDate>Mon, 06 Jul 2026 00:00:00 GMT</pubDate></item><item><title>英伟达的护城河有多深</title><link>https://daoyiagi.com/zh/posts/nvidia-moat/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/nvidia-moat/</guid><description>分析英伟达在 AI 芯片市场的主导地位——CUDA 生态、硬件迭代和竞争对手的突围路径。</description><pubDate>Sun, 05 Jul 2026 00:00:00 GMT</pubDate></item><item><title>How Deep Is NVIDIA&apos;s Moat</title><link>https://daoyiagi.com/en/posts/nvidia-moat/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/nvidia-moat/</guid><description>Analyzing NVIDIA&apos;s dominance in the AI chip market: the CUDA ecosystem, hardware iteration, and competitors&apos; breakout paths.</description><pubDate>Sun, 05 Jul 2026 00:00:00 GMT</pubDate></item><item><title>用 Ollama 在本地跑大模型</title><link>https://daoyiagi.com/zh/posts/ollama-local-llm/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/ollama-local-llm/</guid><description>一行命令部署 Llama、Qwen 等模型到本地，完整 API 调用、Open WebUI 集成和自定义 Modelfile。</description><pubDate>Sat, 04 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Running LLMs Locally with Ollama</title><link>https://daoyiagi.com/en/posts/ollama-local-llm/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/ollama-local-llm/</guid><description>One command to deploy Llama, Qwen, and other models locally — with full API integration, Open WebUI setup, and custom Modelfile configuration.</description><pubDate>Sat, 04 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>用 Dify / FastGPT 搭建个人 RAG 知识库，接入 Obsidian 笔记和本地文档。</description><pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Building a Personal RAG Knowledge Base</title><link>https://daoyiagi.com/en/posts/personal-rag-kb/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/personal-rag-kb/</guid><description>Building a personal RAG knowledge base with Dify or FastGPT, connected to Obsidian notes and local documents.</description><pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate></item><item><title>LLM API 费用的那些坑</title><link>https://daoyiagi.com/zh/posts/api-costs/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/api-costs/</guid><description>LLM API 的计价方式、常见的隐藏成本和实用的省钱策略。</description><pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate></item><item><title>LLM API Cost Pitfalls</title><link>https://daoyiagi.com/en/posts/api-costs/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/api-costs/</guid><description>LLM API pricing models, hidden costs, and practical money-saving strategies.</description><pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate></item><item><title>VSCode + Copilot 效率提升</title><link>https://daoyiagi.com/zh/posts/vscode-copilot/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/vscode-copilot/</guid><description>AI 辅助编程的日常实践：Copilot 快捷键、最佳使用场景和注意事项。</description><pubDate>Wed, 01 Jul 2026 00:00:00 GMT</pubDate></item><item><title>VSCode + Copilot Productivity</title><link>https://daoyiagi.com/en/posts/vscode-copilot/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/vscode-copilot/</guid><description>Daily AI-assisted programming practices: Copilot shortcuts, best use cases, and caveats.</description><pubDate>Wed, 01 Jul 2026 00:00:00 GMT</pubDate></item><item><title>给你的应用加一个 AI 聊天窗口</title><link>https://daoyiagi.com/zh/posts/add-ai-chat/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/add-ai-chat/</guid><description>前端对接 LLM API 的完整流程：流式响应、上下文管理、错误处理。</description><pubDate>Tue, 30 Jun 2026 00:00:00 GMT</pubDate></item><item><title>Adding an AI Chat Window to Your App</title><link>https://daoyiagi.com/en/posts/add-ai-chat/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/add-ai-chat/</guid><description>A complete guide to frontend LLM API integration: streaming responses, context management, and error handling.</description><pubDate>Tue, 30 Jun 2026 00:00:00 GMT</pubDate></item><item><title>AI 图像生成工具对比</title><link>https://daoyiagi.com/zh/posts/ai-image-tools/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/ai-image-tools/</guid><description>Midjourney、DALL·E、Stable Diffusion 三大工具的设计理念和适用场景对比。</description><pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate></item><item><title>AI Image Generation Tools Compared</title><link>https://daoyiagi.com/en/posts/ai-image-tools/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/ai-image-tools/</guid><description>Design philosophy and use case comparison of Midjourney, DALL·E, and Stable Diffusion.</description><pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate></item><item><title>Obsidian 入门指南</title><link>https://daoyiagi.com/zh/posts/obsidian-intro/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/obsidian-intro/</guid><description>从安装到高效使用，Obsidian 新手入门全攻略：Markdown 语法、插件系统、同步方案。</description><pubDate>Sun, 28 Jun 2026 00:00:00 GMT</pubDate></item><item><title>Obsidian Getting Started Guide</title><link>https://daoyiagi.com/en/posts/obsidian-intro/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/obsidian-intro/</guid><description>A complete beginner&apos;s guide to Obsidian: installation, Markdown basics, plugin ecosystem, and sync solutions.</description><pubDate>Sun, 28 Jun 2026 00:00:00 GMT</pubDate></item><item><title>Obsidian + AI 插件的 5 种玩法</title><link>https://daoyiagi.com/zh/posts/obsidian-ai-plugins/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/obsidian-ai-plugins/</guid><description>Copilot、Smart Connections、Text Generator 等 AI 插件的实际体验和推荐。</description><pubDate>Sat, 27 Jun 2026 00:00:00 GMT</pubDate></item><item><title>5 Ways to Use AI Plugins in Obsidian</title><link>https://daoyiagi.com/en/posts/obsidian-ai-plugins/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/obsidian-ai-plugins/</guid><description>Real-world experience with AI plugins for Obsidian: Smart Connections, Text Generator, Copilot, and more.</description><pubDate>Sat, 27 Jun 2026 00:00:00 GMT</pubDate></item><item><title>《Attention Is All You Need》论文精读</title><link>https://daoyiagi.com/zh/posts/attention-paper-reading/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/attention-paper-reading/</guid><description>逐段解读这篇改变了 NLP 历史的论文，核心公式推导和设计思想。</description><pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate></item><item><title>Reading Notes: Attention Is All You Need</title><link>https://daoyiagi.com/en/posts/attention-paper-reading/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/attention-paper-reading/</guid><description>A close reading of the paper that changed NLP history — key formulas, design philosophy, and why it mattered.</description><pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate></item><item><title>读完《Deep Learning》的 10 个收获</title><link>https://daoyiagi.com/zh/posts/deep-learning-takeaways/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/deep-learning-takeaways/</guid><description>Ian Goodfellow 的《Deep Learning》经典教材阅读笔记，提炼核心知识点。</description><pubDate>Thu, 25 Jun 2026 00:00:00 GMT</pubDate></item><item><title>10 Takeaways from Reading &apos;Deep Learning&apos;</title><link>https://daoyiagi.com/en/posts/deep-learning-takeaways/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/deep-learning-takeaways/</guid><description>Key insights from Ian Goodfellow&apos;s classic textbook &apos;Deep Learning&apos;, still one of the most important AI books.</description><pubDate>Thu, 25 Jun 2026 00:00:00 GMT</pubDate></item><item><title>Andrew Ng《AI For Everyone》课程笔记</title><link>https://daoyiagi.com/zh/posts/andrew-ng-ai-for-everyone/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/andrew-ng-ai-for-everyone/</guid><description>非技术视角理解 AI 的核心概念：什么是机器学习、AI 能做什么、如何落地 AI 项目。</description><pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate></item><item><title>Andrew Ng &apos;AI For Everyone&apos; Course Notes</title><link>https://daoyiagi.com/en/posts/andrew-ng-ai-for-everyone/</link><guid isPermaLink="true">https://daoyiagi.com/en/posts/andrew-ng-ai-for-everyone/</guid><description>Understanding AI core concepts from a non-technical perspective: what machine learning is, what AI can and cannot do.</description><pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate></item><item><title>CS229 机器学习课程回顾</title><link>https://daoyiagi.com/zh/posts/cs229-ml-review/</link><guid isPermaLink="true">https://daoyiagi.com/zh/posts/cs229-ml-review/</guid><description>Stanford CS229 经典课程的知识体系回顾：监督学习、无监督学习、强化学习。</description><pubDate>Tue, 23 Jun 2026 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