
Accelerate GenAI App Development with New Updates to Databricks Model Serving
Enhance GenAI app development with latest enhancements to Databricks Model Serving
Test clocks: How we made it easier to test Stripe Billing integrations
Testing Stripe Billing integrations made easier with test clocks for simulating the passage of time without waiting for real seconds to tick by.

LLMs, AI Studio, Higher Quality, Oh my! Our latest Translation AI advancements
Google Cloud announces new Translation AI advancements with specialized generative AI models and flexible real-time translation options

The surprising economics of Horizontal Pod Autoscaling tuning
Unveiling cost-effective strategies for optimizing Horizontal Pod Autoscaling in GKE

How chaos testing adds extra reliability to Spanner’s fault-tolerant design
Enhancing Spanner's reliability through chaos testing to uncover complex system bugs

Building a Cloud Data Fusion pipeline to upload audit records generated by Cloud SQL for SQL Server to BigQuery
Creating a flexibile pipeline for Cloud SQL Server audit records to BigQuery

Establishing an AI/ML center of excellence
Transform industries with an AI/ML center of excellence and drive customer-centric innovation and business transformation

Paramount+: A streaming powerhouse with limitless entertainment
Paramount+ leverages Google Cloud to provide a robust streaming experience with zero downtime for its global audience.

Introducing the Model Spec
A detailed overview of the Model Spec

Universal version control and rich text on Automerge
Enhancing collaboration with universal version control and rich text support in Automerge

Build a Hugging Face text classification model in Amazon SageMaker JumpStart
Implement a Hugging Face text classification model in Amazon SageMaker JumpStart and perform transfer learning on a custom dataset.

How Dialog Axiata used Amazon SageMaker to scale ML models in production with AI Factory and reduced customer churn within 3 months
Dialog Axiata leveraged Amazon SageMaker with AI Factory to scale ML models and reduce customer churn within 3 months in the telecom industry.