1.patchy631 / ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Ranked by Attention Score: stars gained over the last 7 complete days
16 repositories by Attention Score · Oct 28, 2026 – Nov 3, 2026 (UTC)
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
TranslatedDive into LLMs: a series of hands-on programming tutorials
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Translated📚 Building large models from scratch
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Examples and guides for using the OpenAI API
Translated"开源大模型食用指南" (Open-Source Large Model Usage Guide): a tutorial tailor-made for Chinese users on quickly fine-tuning (full-parameter/LoRA) and deploying domestic and international open-source large language models (LLM) and multimodal large models (MLLM) in a Linux environment
TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Examples and guides for using the Gemini API
TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/
高校生向けLLM教材: Karpathy microgptベース,Google Colab用
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Simple tutorials using Google's TensorFlow Framework
llama3 implementation one matrix multiplication at a time