CI/CD in ML

Continuous integration and deployment are crucial for ensuring that machine learning models function seamlessly within production environments. Every code change triggers a series of tests to verify core functionalities, preventing disruptions. The integration of model deployments into existing CI/CD processes is particularly valued by mature tech companies, enhancing reliability and efficiency.