Machine Learning Operations - practices and tools for deploying, monitoring, and managing AI models in production, similar to DevOps but for ML systems. Like having a complete system for keeping AI models running smoothly.
MLOps teams automate model retraining, monitor performance, and quickly roll back to previous versions if a new model performs poorly.
Machine Learning Operations - practices and tools for deploying, monitoring, and managing AI models in production, similar to DevOps but for ML systems. Like having a complete system for keeping AI models running smoothly.
MLOps teams automate model retraining, monitor performance, and quickly roll back to previous versions if a new model performs poorly.
Related concepts include DevOps, Model Monitoring, Machine Learning. Understanding these connections helps build a comprehensive knowledge of cloud computing concepts.