Ecosystem & Stack: jupyter
meta-llama/llama-cookbook
An official guide and collection of recipes for building applications with the Llama model family, covering inference, fine-tuning, and RAG.
aws/amazon-sagemaker-examples
A collection of Jupyter notebooks demonstrating how to build, train, and deploy machine learning models using Amazon SageMaker and its new Python SDK, SageMaker-Core.
FareedKhan-dev/all-agentic-architectures
A comprehensive repository offering practical implementations of 17+ state-of-the-art AI agent architectures using LangChain and LangGraph for hands-on learning and development.
microsoft/AI-For-Beginners
A 12-week, 24-lesson curriculum from Microsoft to learn Artificial Intelligence for beginners, including practical lessons, quizzes, and labs.
recommenders-team/recommenders
A comprehensive toolkit providing best practices, examples, and state-of-the-art algorithms to assist in prototyping, experimenting with, and operationalizing recommendation systems.
NirDiamant/Prompt_Engineering
A comprehensive GitHub repository offering 22 hands-on Jupyter Notebook tutorials on prompt engineering techniques, from basic to advanced, for leveraging large language models.
Integuru-AI/Integuru
An AI agent that automates the creation of permissionless integrations by reverse-engineering platforms' internal APIs.