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21 Lessons, Get Started Building with Generative AI
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
12 Lessons to Get Started Building AI Agents
12 Weeks, 24 Lessons, AI for All!
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Anthropic's Interactive Prompt Engineering Tutorial
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed …
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essen…
Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems by Antonio Gulli
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
100+ Fine-tuning Tutorial Notebooks on Google Colab, Kaggle and more.
Python libraries for Google Colaboratory
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimizati…
xpander.ai is the runtime and control plane to build, run, and ship reliable AI agents fast and anywhere
Empowering developers, entrepreneurs, and organizations to learn, build, and collaborate with intelligent AI agents — building systems where AI is the core.
Consulta e análise à API Pública do CNJ
Turn any PDF into a chat. This RAG app uses Gemini for generation/embeddings and FAISS for retrieval, answering only from your document via Streamlit
This a small project that test the RAG pipeline with local model, api model, etc.. and more feature add