Train and Serve Models:
How to Accelerate Model Development

On-demand Webinar

Building better models takes experimentation. But manual infrastructure setup, disconnected experiment tracking tools, and serving configurations slow teams down. In this webinar, learn how to use Chalk Model Training to train models, serve them on GPUs, and keep improving, all in one workflow.

We’ll demonstrate how to:

• Launch training jobs quickly by specifying the compute each run needs
• Generate embeddings from relevant text using a sentence transformer model
• Train candidate transformer models across multiple hyperparameter configurations in parallel
• Compare in a Chalk Notebook, then register model versions without a separate MLflow setup
• Test the selected model with a dry run, then serve it in production on Chalk GPUs