Eager Execution: An imperative, define-by-run interface to TensorFlow
Eager execution is an imperative, define-by-run interface where operations are executed immediately as they are called from Python. This makes it easier to get started with TensorFlow, and can make research and development more intuitive.
Reminder: ClientLogin Shutdown scheduled for April 20, 2015developers.googleblog.com
Retiring the Email Migration APIdevelopers.googleblog.com
Google Summer of Code now open for student applicationsdevelopers.googleblog.com
Publishing Google Docs add-ons for domain-wide installationdevelopers.googleblog.com
DevFest 2018 Kickoff!developers.googleblog.com
Flutter Release Preview 1: Live from GMTC in Beijingdevelopers.googleblog.com
Trigger automation - MintlifyMintlify
Pulumi ESC Table Editor Now Supports Dynamic Credential and Secret IntegrationsPulumi
Sidecars: A low-latency trust boundary for SandboxesModal
CLI ReferenceModal
Anthropic integration with Modal brings scalable compute to Claude ScienceModal
The rise of slow personal assistantsCerebras
Depend on Docker for KubeflowDocker
How to Run Hugging Face Models Programmatically Using Ollama and TestcontainersDocker
Docker for Windows Desktop with KubernetesDocker
You can just ship agentsVercel
Preview locally - MintlifyMintlify
Breakdown: The Kubernetes-Run AI Video Generation Pipeline for NIUS.TVThenewstack
What is warp divergence?Modal
Run GPU jobs from Airflow with ModalModal
