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We previously communicated that after January 27, 2025, a purchase would be required to use Gemini in BigQuery features. We are temporarily delaying enforcement of these procurement methods, and no purchase is required at this time. For more information, see Gemini for Google Cloud pricing.
Libraries
A weekly digest of client library updates from across the Cloud SDK.
Go
Changes for bigquery/storage/apiv1beta1
1.66.0 (2025-01-20)
Features
Bug Fixes
Python
Changes for google-cloud-bigquery
3.29.0 (2025-01-21)
Features
Bug Fixes
Feature
The following BigQuery ML generative AI features are now available:
remote model
based on an
open model from Vertex Model Garden or Hugging Face that is deployed to Vertex AI.
Options include Llama, Gemma, and other leading open text generation models.
ML.GENERATE_TEXT
functionwith this remote model to perform a broad range of generative AI tasks.
ML.EVALUATE
functionto evaluate the remote model.
Try these features with the
Generate text by using the
ML.GENERATE_TEXT
functionhow-to topic and the
Generate text by using a Gemma open model and the
ML.GENERATE_TEXT
functiontutorial.
These features are
generally available
(GA).
Announcement
We previously communicated that after January 27, 2025, a purchase would be required to use Gemini in BigQuery features. We are temporarily delaying enforcement of these procurement methods, and no purchase is required at this time. For more information, see Gemini for Google Cloud pricing.
Feature
You can now set conditional IAM access on BigQuery datasets with access control lists (ACLs). This feature is generally available (GA).
https://cloud.google.com/bigquery/docs/release-notes#January_27_2025
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