Build AI engineering skills from scratch with 260+ lessons, 20 phases, and hands-on tools for practical learning
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Updated
Oct 6, 2026 - Python
Build AI engineering skills from scratch with 260+ lessons, 20 phases, and hands-on tools for practical learning
🤖 Build an AI agent from scratch to analyze emotional impact in messages, enhancing your understanding of AI product development principles.
📚 Enhance LLMs with retrieval augmented generation, using external data for improved factual recall and grounding in context.
Savoir si un texte ou un fichier vient d'une IA (ChatGPT, Claude, Gemini, DeepSeek…) et laquelle. Analyse 100 % locale : métadonnées, traces de copier-coller, caractères cachés, petit modèle de langage local. React + NestJS.
How little can you write and still get everything right? Play text golfing with node-llama-cpp's Jev-like structured decisions, completely locally, no cloud
Ts RAG system. ingest documents, creates embeddings, stores in pgvector and query through cli or mcp server. fully local with node-llama-cpp
Privait is a self-hosted personal AI system that combines LLMs, vector memory, and RAG to create a private, extensible AI workspace.
A retro terminal AI companion that runs open language models entirely on your own machine — no cloud, no accounts, no telemetry.
Turn SQL into authenticated HTTP APIs — with schema-aware Text-to-SQL, AI review & mock data, powered by local LLM (GGUF / Ollama). Supports MySQL / PostgreSQL / Oracle / SQL Server.
Autonomous, privacy-first AI companion browser powered by Qwen 2.5 local LLM, Chrome DevTools Protocol & real-time HTTP automation API
Local-first hybrid cli search engine (BM25 + Vector) for personal knowledge bases and agentic workflows. Runs entirely on-device via node-llama-cpp.
A comprehensive Next.js application for running and exploring .gguf open-source LLM models locally.
Context engineering decides what a model sees. 14 self-contained examples that build the mental model one piece at a time, Node.js + local GGUF. Understand deeply, then use frameworks wisely. Hands-on context engineering - all local.
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
🤖 Run any GGUF language model locally with a Claude-inspired UI. Built-in HuggingFace downloader, real-time streaming, dark/light mode & code highlighting. Zero API keys. NVIDIA CUDA supported. Deploy free on HuggingFace Spaces.
The friendly and powerful desktop AI chatbot supporting both local and cloud AI models
AHIVE Ecosystem: A full-stack Multi-Agent system featuring a Local LLM Core Engine, Tauri-based IDE, 3D Visualization Dashboard, and Electron Desktop App.该系统强调**本地化部署**(Local-First)和**可视化交互**,支持多智能体(Multi-Agent)协同工作,适用于个人开发者、AI 研究团队及企业级自动化场景。
Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.
Build an AI communication analyzer from scratch to understand how AI products actually work. Learn prompt engineering, reasoning pipelines, and local LLM integration using Node.js - no frameworks, no abstractions, just fundamentals
AI-powered web development with local LLM inference using Electron and node-llama-cpp
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