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    <title>AI入局 on 路边的阿不</title>
    <link>https://babyno.top/categories/ai%E5%85%A5%E5%B1%80/</link>
    <description>Recent content in AI入局 on 路边的阿不</description>
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      <title>自己写一个智能体-让其理解Skills</title>
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      <pubDate>Fri, 23 Jan 2026 10:00:00 +0000</pubDate>
      
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      <description>回顾一下我们的“造人”计划。 在理论篇中，我们给智能体装上了“大脑”（LLM）；在MCP实战篇中，我们通过MCP协议给它接上了“手脚”（工具）</description>
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      <title>自己写一个智能体-使用MCP服务</title>
      <link>https://babyno.top/posts/2026/01/write-your-own-agent---using-mcp/</link>
      <pubDate>Thu, 15 Jan 2026 15:30:00 +0000</pubDate>
      
      <guid>https://babyno.top/posts/2026/01/write-your-own-agent---using-mcp/</guid>
      <description>还记得我们在上一篇文章中聊过的“智能体”理论吗？ 我们提到，智能体之所以比单纯的语言模型强大，是因为它拥有了“手”和“脚”——也就是使用工具的</description>
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    <item>
      <title>多模态数据提取：微调与少样本提示</title>
      <link>https://babyno.top/posts/2026/01/multimodal-data-extraction-fine-tuning-and-few-shot-prompting/</link>
      <pubDate>Wed, 14 Jan 2026 09:16:20 +0000</pubDate>
      
      <guid>https://babyno.top/posts/2026/01/multimodal-data-extraction-fine-tuning-and-few-shot-prompting/</guid>
      <description>这是一篇偏实践向的记录，主要整理我在「用多模态大模型做发票数据结构化提取」过程中踩过的坑、验证过的方案，以及一些比较稳妥的落地思路。整体目标</description>
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      <title>自己写一个智能体-理论篇</title>
      <link>https://babyno.top/posts/2024/12/write-your-own-agent---theory/</link>
      <pubDate>Wed, 04 Dec 2024 14:12:48 +0000</pubDate>
      
      <guid>https://babyno.top/posts/2024/12/write-your-own-agent---theory/</guid>
      <description>不知道大家有没有这种感觉，你与网页版的ChatGPT对话，和你调用API和GPT4o对话，返回的结果往往都是ChatGPT更好。明明它们背后</description>
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      <title>自己写一个RAG应用</title>
      <link>https://babyno.top/posts/2024/07/create-a-rag-application-from-scratch/</link>
      <pubDate>Wed, 24 Jul 2024 08:50:18 +0000</pubDate>
      
      <guid>https://babyno.top/posts/2024/07/create-a-rag-application-from-scratch/</guid>
      <description>Dive into the core principles and hands-on implementation of RAG, an AI framework that integrates external knowledge to enhance large language models. Learn how RAG works, its importance in grounding LLMs with accurate information, and its role in understanding generative processes.</description>
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    <item>
      <title>在苹果设备上运行Stable Diffusion模型</title>
      <link>https://babyno.top/posts/2024/06/run-the-stable-diffusion-model-on-apple-devices/</link>
      <pubDate>Fri, 28 Jun 2024 15:18:47 +0000</pubDate>
      
      <guid>https://babyno.top/posts/2024/06/run-the-stable-diffusion-model-on-apple-devices/</guid>
      <description>本文介绍了在苹果设备（MAC、iPad、iPhone）上运行Stable Diffusion模型的方法，包括模型的下载、格式转换以及如何在Swift中调用模型进行推理。</description>
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      <title>在本地跑一个AI模型(7) - 你打草稿，模型来画</title>
      <link>https://babyno.top/posts/2024/04/run-stable-diffusion-locally3-guide-image-generation/</link>
      <pubDate>Mon, 22 Apr 2024 14:36:03 +0000</pubDate>
      
      <guid>https://babyno.top/posts/2024/04/run-stable-diffusion-locally3-guide-image-generation/</guid>
      <description>Unlock the power of guided image generation with Stable Diffusion! Learn how to control image output using ControlNet and Adapter technologies, and explore practical examples and comparisons of various detectors and adapters. Discover how to generate high-quality images that meet your specific requirements.</description>
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      <title>在本地跑一个AI模型(6) - Stable Diffusion模型微调</title>
      <link>https://babyno.top/posts/2024/04/run-stable-diffusion-locally-with-lora/</link>
      <pubDate>Mon, 22 Apr 2024 11:53:55 +0000</pubDate>
      
      <guid>https://babyno.top/posts/2024/04/run-stable-diffusion-locally-with-lora/</guid>
      <description>Learn how to fine-tune your local Stable Diffusion model with LoRA, a low-rank adaptation technique that adds more details to generated images. Discover how to download and use pre-trained LoRA models from the community, and explore examples of using LoRA with different styles, such as Chinese illustration and pixel art.</description>
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    <item>
      <title>在本地跑一个AI模型(5) - Stable Diffusion</title>
      <link>https://babyno.top/posts/2024/04/run-stable-diffusion-locally/</link>
      <pubDate>Fri, 19 Apr 2024 10:17:47 +0000</pubDate>
      
      <guid>https://babyno.top/posts/2024/04/run-stable-diffusion-locally/</guid>
      <description>Learn how to run Stable Diffusion locally using `diffusers` and generate stunning images from text prompts. Discover the basics of text-to-image synthesis, including model selection, prompt engineering, and image generation. Get started with this comprehensive guide and unlock the power of AI-generated art.</description>
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    <item>
      <title>在本地跑一个AI模型(4) - 会说话的模型</title>
      <link>https://babyno.top/posts/2024/04/run-an-ai-model-locally-4/</link>
      <pubDate>Mon, 15 Apr 2024 10:36:13 +0000</pubDate>
      
      <guid>https://babyno.top/posts/2024/04/run-an-ai-model-locally-4/</guid>
      <description>Want your AI model to speak? Try using the XTTS v2 model! It can generate high-quality, natural-sounding voices from text in multiple languages. With just a few commands, you can turn your text into realistic speech. Give it a try now!</description>
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    <item>
      <title>在本地跑一个大语言模型(3) - 让模型自主使用工具</title>
      <link>https://babyno.top/posts/2024/03/run-a-large-language-model-locally-3/</link>
      <pubDate>Thu, 07 Mar 2024 14:24:56 +0000</pubDate>
      
      <guid>https://babyno.top/posts/2024/03/run-a-large-language-model-locally-3/</guid>
      <description>Run LLMs on your machine and extend their capabilities!  This guide explores function calling in Ollama, allowing the model to connect with external tools and become more intelligent.</description>
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      <title>在本地跑一个大语言模型(2) - 给模型提供外部知识库</title>
      <link>https://babyno.top/posts/2024/03/run-a-large-language-model-locally-2/</link>
      <pubDate>Mon, 04 Mar 2024 11:18:00 +0000</pubDate>
      
      <guid>https://babyno.top/posts/2024/03/run-a-large-language-model-locally-2/</guid>
      <description>Make your local large language models (LLMs) smarter! This guide shows how to use LangChain and RAG to let them retrieve data from external knowledge bases, improving answer accuracy.</description>
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      <title>在本地跑一个大语言模型</title>
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      <pubDate>Tue, 27 Feb 2024 12:22:33 +0000</pubDate>
      
      <guid>https://babyno.top/posts/2024/02/running-a-large-language-model-locally/</guid>
      <description>This guide shows you how to run a large language model (LLM) directly on your computer! It&amp;#39;s free, protects your privacy, and lets you try various open-source models.</description>
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