AI LAB
Completion requirements
Experiments, practices, tips, and learnings from applying AI in real work and projects.
Post here if you want to share:
- AI use cases, prompts, workflows
- What works (or doesnβt) with AI tools
- AI ideas in projects
When posting a new article, select at least one tag: Best Practices, Tips, Tutorials, Lessons Learned, or Ideas.
AI Engineering Hub
Welcome to the AI Engineering Hub - your comprehensive resource for learning and building with AI!
π Why This Repo?
AI Engineering is advancing rapidly, and staying at the forefront requires both deep understanding and hands-on experience. Here, you will find:
Whether you're a beginner, practitioner, or researcher, this repo provides resources for all skill levels to experiment and succeed in AI engineering.
π Projects by Difficulty
π’ Beginner Projects
Perfect for getting started with AI engineering. These projects focus on single components and straightforward implementations.
OCR & Vision
Chat Interfaces & UI
Basic RAG
Multimodal & Media
Other Tools
π‘ Intermediate Projects
Multi-component systems, agentic workflows, and advanced features for experienced practitioners.
AI Agents & Workflows
Voice & Audio
Advanced RAG
Multimodal
MCP (Model Context Protocol)
Model Comparison & Evaluation
π΄ Advanced Projects
Complex systems, fine-tuning, production deployments, and cutting-edge implementations.
Fine-tuning & Model Development
Advanced Agent Systems
Advanced MCP & Infrastructure
Production Systems
Learning Resources