Table of Contents# MLRun basics Using MLRun Tutorials and Examples MLRun CE overview Set up your client environment Gen AI tasks Gen AI development workflow Gen AI data management Developing a gen AI pipeline Deploying gen AI application serving pipelines Gen AI liveOps MLOps tasks MLOps development workflow Ingest and process data Develop and train models Deploy models and applications Model monitoring for MLOps CI/CD automation with Git Core components Projects and automation Functions Data and artifacts Model monitoring Alerts and notifications Batch runs and workflows Real-time serving pipelines (graphs) MLRun hub Feature store References Index API by module Command-Line Interface Resources Glossary Change log Change log
