MLOps for Vision and Language
In this chapter, we’ll introduce the core concepts of operations and orchestration for machine learning, also known as MLOps. This includes building pipelines, continuous integration and deployment, promotion through environments, and more. We’ll explore options for monitoring and human-in-the-loop auditing of model predictions. We’ll also identify unique ways to support large vision and language models in your MLOps pipelines.
We’ll be covering the following topics in the chapter:
- What is MLOps?
- Continuous integration and continuous deployment
- Model monitoring and human-in-the-loop
- MLOps for foundation models
- AWS offerings for MLOps
