LLMRepos·Getting Started / Hands-On LLM projects

《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码

Natural Language Processing Tutorial for Deep Learning Researchers

Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work. Claude Code is the best for this so that's what this repo is centered around, but you can apply this strategy with any AI coding assistant!

Implement a reasoning LLM in PyTorch from scratch, step by step

Summaries and notes on Deep Learning research papers

Build a modern LLM from scratch. Every line commented. Explained like we are five.

A practical, open-source guide to mastering WorkBuddy through real-world workflows.开源的 WorkBuddy 实战蓝皮书：教程、真实工作流、Skills、MCP、自动化与多智能体实践。

LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.

Code and Slides

Mastering Applied AI, One Concept at a Time

Machine Learning Journal for Intermediate to Advanced Topics.

从无名小卒到大模型（LLM）大英雄~ 欢迎关注后续！！！

哈喽！龙虾 🙋‍♀️ Adopt from scratch and build your first claw 🦞 来领养你的第一只龙虾！

LLM&VLM Tutorial

Free, open-source curriculum for making money with generative AI image, video, and audio — for creators and agencies.

Everything I know about running LLMs locally

「可能是全网最全的」📘 面向小白的 AI 编程 CLI 中文教程：Claude Code + Codex 92 篇精修

Generate hands-on, multi-part technical tutorials on demand, with LLM skills tuned to make content approachable. Then you work through them yourself, by hand ✋

《构筑大语言模型应用：应用开发与架构设计》一本关于 LLM 在真实世界应用的开源电子书，介绍了大语言模型的基础知识和应用，以及如何构建自己的模型。其中包括Prompt的编写、开发和管理，探索最好的大语言模型能带来什么，以及LLM应用开发的模式和架构设计。

Learn LLM internals step by step - from tokenization to attention to inference optimization.

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

A free, hands-on course on using AI developer tools to build, test, deploy, extend, and audit software without losing engineering discipline. The 2026 cohort starts August 31.

Minimal and annotated implementations of key ideas from modern deep learning research.

chatGPT、prompt、LLM

《动手学 Pi》：沿 15 个真实 checkpoint 从零构建 Pi-style Agent

This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.

A set of LLM Tutorials from my youtube channel

Minimal and readable coding agent harness implementation in Python to explain the core components of coding agents.

A deep dive into embeddings starting from fundamentals

MCP Python Tutorial

A complete, structured hub for learning Artificial Intelligence — covering AI, Machine Learning, Deep Learning, and Data Science with books, roadmaps, and curated resources from beginner to advanced.

从 NLP 到 LLM 的算法全栈教程，在线阅读地址：https://datawhalechina.github.io/base-llm/

Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 503 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南

An Improved Langchain RAG Tutorial (v2) with local LLMs, database updates, and testing.

A repository of code samples for Vector search capabilities in Azure AI Search.

Vibecoding 系列教程：从环境搭建到多智能体协作，涵盖 MCP、Skills、Agent 分工治理

[ICLR 2025 Oral] Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows