Getting Started with AI Universe¶
Welcome to AI Universe! This guide will help you navigate the comprehensive collection of AI tools and frameworks.
Quick Navigation¶
By Role¶
🧑💻 Developers - Start with Developer Tools - Explore Skills & Extensions - Check out MCP Servers
🏗️ ML Engineers - Begin with Infrastructure - Dive into Vector Databases - Learn about Production AI
📊 Data Scientists - Explore Foundation Models - Check Datasets & Data Tools - Review Evaluation & Testing
🎨 Product Builders - Start with RAG & Knowledge - Learn Prompt Engineering - Understand AI Safety & Alignment
By Use Case¶
Building a Chatbot¶
- Choose a model: Foundation Models
- Add memory: Vector Databases
- Build RAG: RAG & Knowledge
- Deploy: Deployment & Serving
- Monitor: Observability & Monitoring
Fine-Tuning a Model¶
- Prepare data: Datasets & Data Tools
- Choose infrastructure: Infrastructure
- Monitor training: Observability & Monitoring
- Evaluate: Evaluation & Testing
Building AI Agents¶
- Choose framework: Agents & Orchestration
- Add tools: MCP Servers
- Craft prompts: Prompt Engineering
- Test thoroughly: Evaluation & Testing
Learning Path¶
Beginner (Week 1-2)¶
- Read Foundation Models
- Try Developer Tools
- Learn Prompt Engineering basics
Intermediate (Week 3-4)¶
- Build with RAG & Knowledge
- Explore Vector Databases
- Deploy with Deployment & Serving
Advanced (Week 5-8)¶
- Master Agents & Orchestration
- Implement Production AI patterns
- Study Emerging Research
Quick Reference¶
For quick lookups, check the Quick Reference Guide.
Contributing¶
Want to add a tool or improve documentation? See Contributing Guide.