The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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🧠 Train a 64M-parameter LLM from scratch in just 2h!
A straightforward method for training your LLM, from downloading data to generating text.
Translated🔍 Hands-on LLM Application Development, Part 1: A Full-Stack Guide to RAG Technology. Read online at: https://datawhalechina.github.io/all-in-rag/
- embedding
- kimi-k2
- langchain
- llama-index
Pocket Flow: Codebase to Tutorial
A collection of machine learning examples and tutorials.
👀 Train a 65M-parameter VLM from scratch in just 2h!
- artificial-intelligence
- chatgpt
- vision-language-model
Translated🚀 The most systematic crash course on AI Agents in 2026 | Agent hands-on tutorial · Complete learning path + hands-on projects + interview question bank · Aligned with LLM application development engineer job roles · Covers LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / prompts · Enterprise-grade deployment and fine-tuning · From 0 to enterprise-level implementation + from learning to launching projects + interview preparation, all in one
- agent
- aigc
- coze
- dify
Ultimate Python study guide 🐍 🐍 🐍
- python
- python3
- study
- programming-language
Translated🌟100+ original LLM / RL algorithm diagrams📚, a great gift from the author of 《大模型算法》 (Large Model Algorithms)! 💥 (100+ LLM/RL Algorithm Maps)
- llm
- reinforcement-learning
- algorithm
- nlp-machine-learning
Language Model GRU with Python and Theano
TranslatedBuild GPT-2 from scratch in PyTorch, step by step
- attention
- chinese
- deep-learning
- from-scratch
TranslatedAn agent development practice room based on LangGraph subgraphs: requirement clarification, user notes, document generation, and human review.