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MLRun basics

Using MLRun
- MLRun architecture
- MLRun ecosystem
Tutorials and Examples
MLRun CE overview
- Installation
- MLRun CE development notes
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
- Using data sources and items
- Logging datasets
Develop and train models
- Model training and tracking
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

Server configuration

Server metrics

References

Index
API by module
Command-Line Interface
Resources
Glossary

Change log

Change log

Repository
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