tutorial

A companion guide for the blog post series, LangChain Decoded.

A Complete Guide to Fine-tuning Qwen2.5-Coder for Chinese Sentiment Analysis

Application of Connectionist Temporal Classification (CTC) for Speech Recognition (Tensorflow 1.0 but compatible with 2.0).

A place to learn about Stable Diffusion

《Easy Data x AI》是一门面向所有 AI 爱好者的数据与 AI 基础入门课程。通过双轨学习路径，从数据驱动视角学习构建 AI Agent。

Beginner-friendly repository for launching your first LLM API with Python, LangChain and FastAPI, using local models or the OpenAI API.

解锁HuggingFace生态的百般用法

A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.

Implemented a stable diffusion architecture using PyTorch.

The most comprehensive free Claude Code course — 16 phases, 55 modules, EN + VI 🚀

Bilingual AI coding tutorials for Claude Code and OpenAI Codex: setup, CLI, Codex workflows, MCP, agents, code review, prompt engineering, and web projects.

完整的RAG技术教程 - 从基础概念到生产部署，系统化掌握检索增强生成技术。包含4个模块、20章内容、17个Jupyter Notebooks、6个企业级实战案例

🐾 OpenClawNet — Build an AI Agent Platform in .NET 10 (Reactor live series materials)

从零构建企业级 AI Agent CLI — 逐课拆解 Claude Code 源码架构 | Build an enterprise-grade AI Agent CLI from scratch — 49 lessons deconstructing Claude Code's architecture

自撰作品《AI精准操作手册：从Prompt工程到认知导航》（AI Precision Operations Manual: From Prompt Engineering to Cognitive Navigation）

AI Agent 从入门到实战 - 原创保姆级中文教学，不依赖框架从零构建Agent | 作者：青松与桑叶

LangGraph Mastery Playbook: guided, code-first lessons for building memory-aware LLM agents and workflows with LangGraph, TrustCall, and LangChain.

Simple RAG tutorials that can be run locally or using Google Colab (only Pro version).

Free AI/ML course with 950+ Jupyter notebooks — Python, deep learning, LLMs, RAG, agents, prompt engineering, fine-tuning, MLOps

A beginner-friendly guide to building and launching apps with Base44—using plain-English prompts, practical examples, and zero coding experience.