1 year ago

https://aws.amazon.com/polly/ https://aws.amazon.com/sagemaker/jumpstart is a machine learning (ML) hub that can help you accelerate your ML journey. SageMaker JumpStart gives you access to built-in algorithms with pre-trained models from popular model hubs, pre-trained foundation models to help you perform tasks such as article summarization and image generation, and end-to-end solutions to solve common use cases. Today, I’m happy to announce that you can now share ML artifacts, such as models and notebooks, more easily with other users that share your AWS account using SageMaker JumpStart. Using SageMaker JumpStart to Share ML Artifacts Machine learning is a team sport.

In SageMaker Studio, select Quick start solutions in the left navigation menu, then select Solutions, models, example notebooks to access all shared ML artifacts, together with pre-trained models from popular model hubs and end-to-end solutions.