Model Deployment
Domain: MLOps
🎯 Motivation
Making a trained model available for use. The model goes from development to production.
📋 Concrete Example
Deployment: model packaged as API. Users send requests: POST /predict {text: Hello}. Model returns: {sentiment: positive}. The model is now live.
🔗 Analogy
Opening a new store - you built the shop, stocked the shelves, trained the staff. Now you open the doors to customers. Model deployment opens the model to users.