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 prebuilt container: Notebook

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

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

Vertex AI training
Vertex AI TensorBoard

The steps performed include:

Set up a service account and Cloud Storage buckets.
Write your customized training code.
Package and upload your training code to Cloud Storage.
Create and launch your custom training job with Vertex AI TensorBoard enabled for near real time monitoring.

Relevant content

Vertex AI TensorBoard
Custom training