Preface

Because I have written several articles about the basics of AI before, I thought it was time to come up with an AI learning map: firstly, it can help me sort out my thoughts and know clearly which knowledge points I have studied and practiced specifically, and it can also serve as my AI learning notebook; secondly, it can also allow friends who are lucky enough to see it to have a rough reading order when reading AI-related articles.

However, there is still very little content at present, and there is nothing we can do but take it step by step.

Getting Started with AI

This section covers the basics of AI, mainly the parts that beginners can quickly get in touch with and get started with: these articles range from the most basic local large language model UI and common API vendor introductions, to how to use Docker to deploy open source large language model UI (such as Lobechat) and detailed usage tutorials, and then to further use Docker to build a local large language model and other common basic knowledge.

This is based on my own actual learning perspective, describing what I think are the basic tools and processes needed to get started with AI, hoping to help novice friends quickly accumulate practical experience.

• Home Data Center Series Starts the AI Journey: A Detailed Introduction to Local Big Language Model UI and Big Language Model API Providers
• Docker series based on the open source large language model UI framework: Lobechat detailed deployment tutorial
• Home Data Center Series Unlock the full potential of Lobechat: A complete guide from setup to actual use
• Home Data Center Series: Building Private AI: A Detailed Tutorial on Building an Open Source Large Language Model Locally Based on Ollama
• AI multimodal model combing: from text to image, video, etc. chatgpt-web-midjourney-proxy practical operation
• Deploy Llama 3.2 on Mac mini (M4 Pro): A complete guide to achieve efficient operation and cross-domain access optimization through Ollama

AI Applications

This part mainly includes some practical application cases of AI.

• Home Data Center Series WordPress Chatbot Plugin "AI Engine" Functional Exploration and Built-in Tools Research
• Free entry-level local AI image generation tool on the Home Data Center series Mac (Part 1): Diffusion Bee setting parameter detailed explanation and practical demonstration
• Free entry-level local AI image generation tool on the Home Data Center series Mac (Part 2): Draw Things installation and usage tutorial