《动手学大模型Dive into LLMs》系列编程实践教程
12 Weeks, 24 Lessons, AI for All!
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
📚 从零开始构建大模型
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
量化研究-券商金工研报复现
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
Learn how to develop, deploy and iterate on production-grade ML applications.
Anthropic's Interactive Prompt Engineering Tutorial
Understanding Deep Learning - Simon J.D. Prince
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
NVIDIA curated collection of educational resources related to general purpose GPU programming.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Learn ML engineering for free in 4 months! Register here 👇🏼
Practice your pandas skills!
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
LLM algorithm practice lab with theory, solutions, and test cases.《大模型算法与系统教程》面向大模型入门到进阶的算法实战教程,覆盖原理讲解、答案解析、测试用例与 CUDA/Triton 实战。
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
A collection of guides and code examples for building AI applications with open models on Nebius Token Factory.