Repository Index

21 Lessons, Get Started Building with Generative AI

• ai
• chatgpt
• dall-e
• generativeai

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

• course
• llm
• machine-learning
• roadmap

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

• deep-learning
• prompt-engineering
• openai
• chatgpt

Learn AI Engineering! Learn it. Build it. Ship it for others.

• agents
• ai
• ai-agents
• ai-engineering

Learn how to develop, deploy and iterate on production-grade ML applications.

• machine-learning
• deep-learning
• pytorch
• natural-language-processing

TranslatedAn introductory LLM tutorial for developers, the Chinese version of Andrew Ng's large model course series

• cookbook
• llm

Harness engineering beginner tutorial, from 0 to 1

• agent
• harness
• harness-engineering
• harness-framework

💻 Vibe Coding 101｜Your First Course For AI Product Builders.

• ai
• course
• vibe-coding
• coding

TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/

• langchain
• rag

Repo to accompany my mastering LLM engineering course

TranslatedFoundations of Large Models: understand the basic knowledge of large models in one article

LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼

learn LLM inference system on Apple Silicon for systems engineers: build a tiny vLLM + Qwen

• course
• large-language-model
• llm
• python

Notebooks for learning deep learning

🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.

• agent
• agentic
• agentic-ai
• agentic-rl

TranslatedThis is a step-by-step guide to getting started with AI/LLM large models, including tutorials and demo code, taking you from APIs to local large model deployment and fine-tuning. The code files come with Kaggle or Colab online versions, so you can learn even without a graphics card. The project also has a small code playground 🎡 where you can try out some interesting AI scripts. It also includes complete Chinese mirror assignments for Hung-Yi Lee's (HUNG-YI LEE) 2024 Introduction to Generative AI course.

Translated"Large Language Models" (《大语言模型》), authors: Zhao Xin, Li Junyi, Zhou Kun, Tang Tianyi, Wen Jirong

• artificial-intelligence
• deep-learning
• deep-neural-networks
• deep-reinforcement-learning

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

• aws
• bytewax
• comet-ml
• generative-ai

Slides and code samples for training, tutorials, and workshops about Docker, containers, and Kubernetes.

• workshop
• docker
• swarm
• kubernetes

The repository host gives no description.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

• machine-learning
• deep-learning
• pytorch
• mlops

Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

• agents
• ai-systems
• fine-tuning
• llm

TranslatedCovers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning

• gpu-programming
• llm
• nlp
• rl

Udacity Self-Driving Car Engineer Nanodegree projects.

• self-driving-car
• udacity-self-driving-car
• deep-learning
• deep-neural-networks