Introduction to AI Architecture

AI Architecture Fundamentals

Artificial Intelligence system architecture involves designing systems that can learn, reason, and make decisions autonomously.

Key Considerations

1. Data Pipeline Architecture - How data flows through the system
2. Model Training Infrastructure - Computing resources for training
3. Inference Architecture - Serving predictions in production
4. MLOps - Machine Learning Operations for deployment and monitoring

Stay tuned for more detailed articles on AI architecture patterns and best practices.