# SDK release

## New

- Create and deploy models locally and remotely with Amazon SageMaker
- Version your AI models. Create copies of models whenever you adjust weights or other parameters. Every model version remains operational and accessible.
- Adjust weights and other parameters on your models
- Add models to a project
- Assign models for pre-labeling. Use a model to provide suggestions for human labelers to accept, adjust, or ignore in the labeling interface.
- Directly predict using deployed models. Use prediction to debug your model or provide a direct labeled output.
- Deploy and test models locally with new CLI tools

## Updated

- Enjoy more detailed SDK log outputs thanks to [Rich library](/content/release-notes/august-20-2021#/index.html) implementation
- Automatically verify model responses to ensure compatibility with super.AI schema
- Shorter build time for AI containers through staged builds using a source-to-image package