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      <title>在线 AI 小工具集锦：解决具体问题的瑞士军刀</title>
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      <pubDate>Sat, 07 Jun 2025 00:00:00 GMT</pubDate>
      <description>不需要写代码、不需要本地部署——把一张照片变 3D、把一段录音转乐谱、把 PDF 变播客。</description>
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      <pubDate>Thu, 05 Jun 2025 00:00:00 GMT</pubDate>
      <description>AI 视频生成从&quot;四秒鬼畜&quot;到&quot;分钟级电影质感&quot;，2024-2025 是这一领域的爆发期。</description>
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      <pubDate>Tue, 03 Jun 2025 00:00:00 GMT</pubDate>
      <description>节点式工作流让图像生成从&quot;猜提示词&quot;变成可视化工程——ControlNet、IP-Adapter、LoRA 一网打尽。</description>
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      <title>AI 图像生成工具入门：Midjourney / DALL·E / Stable Diffusion</title>
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      <pubDate>Sun, 01 Jun 2025 00:00:00 GMT</pubDate>
      <description>三种主流文生图工具对比——闭源的 Midjourney/DALL·E 和开源的 Stable Diffusion，怎么选怎么用。</description>
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      <title>全栈 / 后端：API 集成 + 部署</title>
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      <pubDate>Wed, 28 May 2025 00:00:00 GMT</pubDate>
      <description>给后端 / 全栈工程师的 8 周 AI 集成路线——不训练模型，但能用 API + RAG + Agent 把 AI 能力嵌入到产品中。</description>
      <category>5.3 分角色学习路线图</category>
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      <title>数据 / 算法工程师：深度学习 + 训练</title>
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      <pubDate>Sun, 25 May 2025 00:00:00 GMT</pubDate>
      <description>给数据科学家、算法工程师的 12 周深度学习成长路径——从掌握 PyTorch 到能跑通 LLM 微调与部署。</description>
      <category>5.3 分角色学习路线图</category>
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      <title>产品 / 非技术：AI 通识 + 工具使用</title>
      <link>https://aistudy.example.com/docs/part5-projects/5-3-product</link>
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      <pubDate>Thu, 22 May 2025 00:00:00 GMT</pubDate>
      <description>给产品经理、运营、设计师、创业者的 6 周 AI 学习路线——不写代码、不调模型，但能讲透 AI、用爆 AI 工具、规划 AI 产品。</description>
      <category>5.3 分角色学习路线图</category>
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    <item>
      <title>微调 LLaMA 3 做领域问答</title>
      <link>https://aistudy.example.com/docs/part5-projects/5-2-llama-finetune</link>
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      <pubDate>Sun, 18 May 2025 00:00:00 GMT</pubDate>
      <description>用 LoRA / QLoRA 在单卡 GPU 上微调 LLaMA 3 8B，做一个懂法律 / 医疗 / 客服领域的问答模型——从数据准备到部署上线。</description>
      <category>5.2 进阶挑战项目</category>
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      <title>多模态搜索应用 (CLIP + 向量数据库)</title>
      <link>https://aistudy.example.com/docs/part5-projects/5-2-multimodal-search</link>
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      <pubDate>Thu, 15 May 2025 00:00:00 GMT</pubDate>
      <description>用 CLIP 把图像和文字嵌入到同一空间，配合 FAISS / Qdrant 实现&quot;以文搜图&quot;&quot;以图搜图&quot;——构建你自己的多模态搜索引擎。</description>
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      <title>从零训练小型 Transformer</title>
      <link>https://aistudy.example.com/docs/part5-projects/5-2-mini-transformer</link>
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      <pubDate>Mon, 12 May 2025 00:00:00 GMT</pubDate>
      <description>一步步从注意力机制实现起，到训练一个能续写文本的迷你 GPT，让你彻底掌握 Transformer 的内部机理。</description>
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      <title>猫狗图像分类器</title>
      <link>https://aistudy.example.com/docs/part5-projects/5-1-cats-dogs</link>
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      <pubDate>Thu, 08 May 2025 00:00:00 GMT</pubDate>
      <description>用迁移学习 + ResNet18 训练一个猫狗分类器——25 行核心代码即可达到 99%+ 准确率。</description>
      <category>5.1 新手入门项目</category>
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      <title>AI 开发环境：Hugging Face 与 LangChain 生态</title>
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      <pubDate>Wed, 07 May 2025 00:00:00 GMT</pubDate>
      <description>从模型中心到应用框架，HF + LangChain 是当下 LLM 开发的事实标准。</description>
      <category>2.5 基础设施与开发工具</category>
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      <title>数据集与基准测试：怎么衡量模型&quot;好不好&quot;？</title>
      <link>https://aistudy.example.com/docs/part2-current/2-5-benchmarks</link>
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      <pubDate>Mon, 05 May 2025 00:00:00 GMT</pubDate>
      <description>通用基准（GLUE、MMLU、HumanEval、GSM8K）到垂直领域，理解评测就是理解能力边界。</description>
      <category>2.5 基础设施与开发工具</category>
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      <title>可持续 AI：绿色深度学习</title>
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      <pubDate>Mon, 05 May 2025 00:00:00 GMT</pubDate>
      <description>GPT-4 训练耗电相当于多少家庭一年用电？数据中心碳排放、模型效率、再生能源——AI 行业的可持续问题与解法。</description>
      <category>4.3 未来趋势与前沿</category>
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      <title>训练与推理优化：让大模型又快又省</title>
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      <pubDate>Sat, 03 May 2025 00:00:00 GMT</pubDate>
      <description>混合精度、梯度累积、模型并行、KV Cache、量化、剪枝——把模型训练/推理的时间和显存压到极致。</description>
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      <title>脑机接口与神经形态计算</title>
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      <pubDate>Fri, 02 May 2025 00:00:00 GMT</pubDate>
      <description>Neuralink、脉冲神经网络、类脑芯片——脑机接口与神经形态计算如何重塑人机交互的未来。</description>
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      <title>简单聊天机器人 (RAG + 本地知识库)</title>
      <link>https://aistudy.example.com/docs/part5-projects/5-1-chatbot</link>
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      <pubDate>Fri, 02 May 2025 00:00:00 GMT</pubDate>
      <description>用 RAG + LLM + 向量数据库构建一个&quot;懂自己&quot;的聊天机器人——20 分钟上手。</description>
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      <title>深度学习框架对比：PyTorch / TensorFlow / JAX</title>
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      <pubDate>Thu, 01 May 2025 00:00:00 GMT</pubDate>
      <description>三大主流框架各有侧重——PyTorch 是研究首选，TensorFlow 工业部署成熟，JAX 在科学计算崛起。</description>
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      <title>手写数字识别 (MNIST)</title>
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      <pubDate>Thu, 01 May 2025 00:00:00 GMT</pubDate>
      <description>深度学习的&quot;Hello World&quot;——30 行代码训练一个 CNN 识别手写数字，准确率 99%+。</description>
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      <title>AI 与科学发现 (AlphaFold / 制药)</title>
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      <pubDate>Wed, 30 Apr 2025 00:00:00 GMT</pubDate>
      <description>AlphaFold 3、AI 制药、材料发现、数学定理证明——AI for Science 正在改写科研范式。</description>
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      <title>世界模型与 AGI 讨论</title>
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      <pubDate>Mon, 28 Apr 2025 00:00:00 GMT</pubDate>
      <description>AGI 究竟离我们还有多远？从 Sora 的世界模型到 Yann LeCun 的 JEPA，从 scaling law 到智能涌现的真相。</description>
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      <title>具身智能与人形机器人</title>
      <link>https://aistudy.example.com/docs/part4-ethics/4-3-embodied</link>
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      <pubDate>Fri, 25 Apr 2025 00:00:00 GMT</pubDate>
      <description>从机械臂到 Optimus、Figure 01——AI 走出屏幕进入物理世界，VLA 模型与世界模型如何让机器人懂物理。</description>
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      <title>数据合规：GDPR / PIPL</title>
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      <pubDate>Tue, 22 Apr 2025 00:00:00 GMT</pubDate>
      <description>训练数据从哪来、如何用、如何留——GDPR、CCPA、中国 PIPL 在 AI 时代的合规要点与实战方案。</description>
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      <title>欧盟 AI 法案与国内监管</title>
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      <pubDate>Fri, 18 Apr 2025 00:00:00 GMT</pubDate>
      <description>全球首部全面 AI 立法——欧盟 AI Act 风险分级与中国《生成式 AI 服务管理暂行办法》等监管对比。</description>
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      <title>AI 生成内容的版权归属</title>
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      <pubDate>Tue, 15 Apr 2025 00:00:00 GMT</pubDate>
      <description>AI 生成内容能否被版权保护？训练数据使用是否侵权？从 Getty vs Stability、纽约时报 vs OpenAI 等案例讲透。</description>
      <category>4.2 法律与合规</category>
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      <title>深度伪造检测与滥用防范</title>
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      <pubDate>Mon, 14 Apr 2025 00:00:00 GMT</pubDate>
      <description>AI 生成内容真假难辨？DeepFake、语音克隆、AI 鉴伪工具与法规应对。</description>
      <category>4.1 伦理挑战</category>
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      <title>隐私保护：差分隐私与联邦学习</title>
      <link>https://aistudy.example.com/docs/part4-ethics/4-1-privacy</link>
      <guid isPermaLink="true">https://aistudy.example.com/docs/part4-ethics/4-1-privacy</guid>
      <pubDate>Sat, 12 Apr 2025 00:00:00 GMT</pubDate>
      <description>训练数据如何不泄露？差分隐私、联邦学习、同态加密、安全多方计算。</description>
      <category>4.1 伦理挑战</category>
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      <title>可解释性 AI (XAI)</title>
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      <pubDate>Thu, 10 Apr 2025 00:00:00 GMT</pubDate>
      <description>黑盒模型为什么需要解释？SHAP、LIME、Attention 可视化、概念瓶颈模型。</description>
      <category>4.1 伦理挑战</category>
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    <item>
      <title>视频理解与生成：从动作识别到 Sora</title>
      <link>https://aistudy.example.com/docs/part2-current/2-4-video</link>
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      <pubDate>Mon, 07 Apr 2025 00:00:00 GMT</pubDate>
      <description>视频是图像+时间的双重挑战。理解侧用时空网络；生成侧 Sora 等世界模型开启新纪元。</description>
      <category>2.4 计算机视觉与多模态</category>
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      <title>视觉问答与图文生成：多模态模型的核心能力</title>
      <link>https://aistudy.example.com/docs/part2-current/2-4-vqa</link>
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      <pubDate>Sat, 05 Apr 2025 00:00:00 GMT</pubDate>
      <description>让模型同时理解图像和文字——回答关于图的问题（VQA）、看图说话（captioning）、以文生图（text-to-image）。</description>
      <category>2.4 计算机视觉与多模态</category>
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    <item>
      <title>Zapier / Make 串联应用</title>
      <link>https://aistudy.example.com/docs/part3-tools/3-6-zapier</link>
      <guid isPermaLink="true">https://aistudy.example.com/docs/part3-tools/3-6-zapier</guid>
      <pubDate>Sat, 05 Apr 2025 00:00:00 GMT</pubDate>
      <description>无代码串联 1000+ 应用：Zapier / Make 工作流，让 AI 自动完成跨应用任务。</description>
      <category>3.6 低代码 / 无代码</category>
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    <item>
      <title>图像分割：从语义分割到 SAM</title>
      <link>https://aistudy.example.com/docs/part2-current/2-4-segmentation</link>
      <guid isPermaLink="true">https://aistudy.example.com/docs/part2-current/2-4-segmentation</guid>
      <pubDate>Thu, 03 Apr 2025 00:00:00 GMT</pubDate>
      <description>把图像按&quot;像素&quot;分类——语义分割给每个像素打标签，实例分割区分个体，SAM 开启分割新范式。</description>
      <category>2.4 计算机视觉与多模态</category>
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      <title>扣子 (Coze) 智能体</title>
      <link>https://aistudy.example.com/docs/part3-tools/3-6-coze</link>
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      <pubDate>Thu, 03 Apr 2025 00:00:00 GMT</pubDate>
      <description>字节跳动扣子 (Coze) 智能体搭建平台：零代码做 AI Bot，发布到飞书/抖音/微信。</description>
      <category>3.6 低代码 / 无代码</category>
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      <title>目标检测：从 R-CNN 到 YOLO 与 DETR</title>
      <link>https://aistudy.example.com/docs/part2-current/2-4-detection</link>
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      <pubDate>Tue, 01 Apr 2025 00:00:00 GMT</pubDate>
      <description>让模型不仅知道&quot;图里有什么&quot;，还能精确框出每个物体的位置。YOLO 速度、DETR 简洁。</description>
      <category>2.4 计算机视觉与多模态</category>
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      <title>Dify / Flowise / LangFlow</title>
      <link>https://aistudy.example.com/docs/part3-tools/3-6-workflow</link>
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      <pubDate>Tue, 01 Apr 2025 00:00:00 GMT</pubDate>
      <description>三款主流 LLM 工作流可视化搭建平台：把 RAG、Agent、工具调用变成拖拖拽拽。</description>
      <category>3.6 低代码 / 无代码</category>
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    <item>
      <title>偏见与公平性</title>
      <link>https://aistudy.example.com/docs/part4-ethics/4-1-bias</link>
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      <pubDate>Tue, 01 Apr 2025 00:00:00 GMT</pubDate>
      <description>AI 偏见从训练数据中继承，放大了社会不公。理解偏见来源、对抗技术、检测方法是负责任 AI 的基础。</description>
      <category>4.1 伦理挑战</category>
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    <item>
      <title>把 AI 集成到网站</title>
      <link>https://aistudy.example.com/docs/part3-tools/3-5-integrate</link>
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      <pubDate>Fri, 28 Mar 2025 00:00:00 GMT</pubDate>
      <description>在你的网站/App 里加 AI 能力：前端直调、后端代理、流式输出、Function Calling。</description>
      <category>3.5 模型部署与 API</category>
    </item>
    <item>
      <title>FastAPI + Streamlit 快速搭建</title>
      <link>https://aistudy.example.com/docs/part3-tools/3-5-fastapi</link>
      <guid isPermaLink="true">https://aistudy.example.com/docs/part3-tools/3-5-fastapi</guid>
      <pubDate>Wed, 26 Mar 2025 00:00:00 GMT</pubDate>
      <description>30 分钟搭一个 AI Web 应用：FastAPI 做后端、Streamlit 做前端、Hugging Face 跑模型。</description>
      <category>3.5 模型部署与 API</category>
    </item>
    <item>
      <title>实验平台 (Colab / Kaggle / HF Spaces)</title>
      <link>https://aistudy.example.com/docs/part3-tools/3-4-platforms</link>
      <guid isPermaLink="true">https://aistudy.example.com/docs/part3-tools/3-4-platforms</guid>
      <pubDate>Mon, 24 Mar 2025 00:00:00 GMT</pubDate>
      <description>三大免费 AI 实验平台横评：Google Colab、Kaggle Notebooks、Hugging Face Spaces。</description>
      <category>3.4 学习与研究</category>
    </item>
    <item>
      <title>文献管理 (Zotero + ChatGPT)</title>
      <link>https://aistudy.example.com/docs/part3-tools/3-4-zotero</link>
      <guid isPermaLink="true">https://aistudy.example.com/docs/part3-tools/3-4-zotero</guid>
      <pubDate>Sat, 22 Mar 2025 00:00:00 GMT</pubDate>
      <description>用 Zotero + Better BibTeX + AI 插件打造研究生的&quot;文献流水线&quot;。</description>
      <category>3.4 学习与研究</category>
    </item>
    <item>
      <title>论文阅读 (Elicit / Scite / Consensus)</title>
      <link>https://aistudy.example.com/docs/part3-tools/3-4-papers</link>
      <guid isPermaLink="true">https://aistudy.example.com/docs/part3-tools/3-4-papers</guid>
      <pubDate>Thu, 20 Mar 2025 00:00:00 GMT</pubDate>
      <description>用 AI 工具 10 分钟读完一篇论文：Elicit、Scite、Consensus、SciSpace、ChatGPT 横评与工作流。</description>
      <category>3.4 学习与研究</category>
    </item>
    <item>
      <title>Notion AI / Obsidian 笔记</title>
      <link>https://aistudy.example.com/docs/part3-tools/3-3-notes</link>
      <guid isPermaLink="true">https://aistudy.example.com/docs/part3-tools/3-3-notes</guid>
      <pubDate>Tue, 18 Mar 2025 00:00:00 GMT</pubDate>
      <description>AI 时代的两大笔记流派：Notion AI 的&quot;云端协作+自动总结&quot; vs Obsidian 的&quot;本地+双链+可控&quot;。</description>
      <category>3.3 办公与生产力</category>
    </item>
    <item>
      <title>Excel + AI 数据分析</title>
      <link>https://aistudy.example.com/docs/part3-tools/3-3-excel</link>
      <guid isPermaLink="true">https://aistudy.example.com/docs/part3-tools/3-3-excel</guid>
      <pubDate>Sun, 16 Mar 2025 00:00:00 GMT</pubDate>
      <description>用 AI 写 Excel 公式、做数据透视、生成图表；从清洗到可视化一站式提效。</description>
      <category>3.3 办公与生产力</category>
    </item>
    <item>
      <title>PPT 生成 (Gamma / Tome / Kimi)</title>
      <link>https://aistudy.example.com/docs/part3-tools/3-3-ppt</link>
      <guid isPermaLink="true">https://aistudy.example.com/docs/part3-tools/3-3-ppt</guid>
      <pubDate>Fri, 14 Mar 2025 00:00:00 GMT</pubDate>
      <description>用 AI 5 分钟生成一份高质量 PPT：Gamma、Tome、KimPPT、MindShow 横评与提示词模板。</description>
      <category>3.3 办公与生产力</category>
    </item>
    <item>
      <title>会议纪要 (Otter / 飞书妙记)</title>
      <link>https://aistudy.example.com/docs/part3-tools/3-3-meeting</link>
      <guid isPermaLink="true">https://aistudy.example.com/docs/part3-tools/3-3-meeting</guid>
      <pubDate>Wed, 12 Mar 2025 00:00:00 GMT</pubDate>
      <description>用 AI 把会议录音转成结构化纪要：发言人、决策、行动项、风险一应俱全。</description>
      <category>3.3 办公与生产力</category>
    </item>
    <item>
      <title>图神经网络：让深度学习处理关系数据</title>
      <link>https://aistudy.example.com/docs/part2-current/2-2-gnn</link>
      <guid isPermaLink="true">https://aistudy.example.com/docs/part2-current/2-2-gnn</guid>
      <pubDate>Sun, 09 Mar 2025 00:00:00 GMT</pubDate>
      <description>社交网络、分子结构、推荐系统——这些天然是&quot;图&quot;形式的数据，GNN 让神经网络能直接处理它们。</description>
      <category>2.2 深度学习架构</category>
    </item>
    <item>
      <title>编程助手对比 (Cursor / Trae / Claude Code / Gemini CLI / OpenCode)</title>
      <link>https://aistudy.example.com/docs/part3-tools/3-1-coding-assistants</link>
      <guid isPermaLink="true">https://aistudy.example.com/docs/part3-tools/3-1-coding-assistants</guid>
      <pubDate>Sat, 08 Mar 2025 00:00:00 GMT</pubDate>
      <description>2025 年 AI 编程助手横评：从 IDE 插件到命令行代理，实战案例与最佳实践。</description>
      <category>3.1 对话与文本生成工具</category>
    </item>
    <item>
      <title>扩散模型：从噪声中&quot;画&quot;出图像的数学原理</title>
      <link>https://aistudy.example.com/docs/part2-current/2-2-diffusion</link>
      <guid isPermaLink="true">https://aistudy.example.com/docs/part2-current/2-2-diffusion</guid>
      <pubDate>Fri, 07 Mar 2025 00:00:00 GMT</pubDate>
      <description>Stable Diffusion、Midjourney、DALL·E 3 背后的扩散模型，是如何从纯噪声一步步生成惊艳图像的。</description>
      <category>2.2 深度学习架构</category>
    </item>
    <item>
      <title>Transformer 家族：注意力机制如何重塑 AI</title>
      <link>https://aistudy.example.com/docs/part2-current/2-2-transformer</link>
      <guid isPermaLink="true">https://aistudy.example.com/docs/part2-current/2-2-transformer</guid>
      <pubDate>Wed, 05 Mar 2025 00:00:00 GMT</pubDate>
      <description>从 Attention Is All You Need 到 GPT/BERT/ViT，深入理解 Transformer 架构、优化技术、主流变体与实际应用。覆盖 FlashAttention、GQA、LoRA、LLaMA、Qwen、DeepSeek 等。</description>
      <category>2.2 深度学习架构</category>
    </item>
    <item>
      <title>文案创作：小红书 / 标题 / SEO</title>
      <link>https://aistudy.example.com/docs/part3-tools/3-1-copywriting</link>
      <guid isPermaLink="true">https://aistudy.example.com/docs/part3-tools/3-1-copywriting</guid>
      <pubDate>Wed, 05 Mar 2025 00:00:00 GMT</pubDate>
      <description>用 AI 写小红书爆款、公众号标题、SEO 软文的完整提示词模板与实战流程。</description>
      <category>3.1 对话与文本生成工具</category>
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