Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window. Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.

Vertex AI TensorBoard custom training with custom container: Notebook

In this tutorial, you learn how to create a custom training job using custom containers, and monitor your training process on Vertex AI TensorBoard in near real time.

Notebook: Create custom training jobs using custom containers

This tutorial uses the following Google Cloud ML services and resources:

Vertex AI training
Vertex AI TensorBoard

The steps performed include:

Create a Docker repository and config.
Create a custom container image with your customized training code.
Set up a service account and Cloud Storage buckets.
Create and launch your custom training job with your custom container.

Relevant content

Vertex AI TensorBoard
Custom training