AWS SageMaker Studio is a model training and workflow management tool that collects all the code, notebooks, and project folders for machine learning into one place, while SageMaker Notebooks lets ...

AWS has also added a new tool to SageMaker called Amazon SageMaker Model Cards to help data science teams shift from manual recordkeeping.

At this point, the Amazon SageMaker Studio preview is good enough to use for end-to-end machine learning and deep learning: data preparation, model training, model deployment, and model monitoring.

AWS has announced the general availability of MLflow capability in Amazon SageMaker. MLflow is an open-source tool commonly used for managing ML experiments. Users can now compare model performance, p ...

SageMaker Catalog lets admins define and implement access policies for AI apps, models, tools, and data in SageMaker using a single permission model with granular controls.

“SageMaker is basically the service for building a model, training a model, deploying the model, whereas Bedrock is the best service for creating generative AI-based applications,” Mehrotra said.

Delivering fast and reliable machine learning business solutionsJERSEY CITY, N.J., Nov. 11, 2020 /CNW/ -- ElectrifAi, one of the global leading co ...

The Falcon 180B model, for example, was trained on SageMaker, using a cluster of thousands of A100 GPUs. Mehrotra noted that AWS was able to take what it learned from that and its previous ...

Amazon Web Services Inc. today augmented its SageMaker artificial intelligence service with new features that will enable developers to automate core aspects of their work.The cloud giant launch ...

AWS partners with DeepSeek to add the AI startup’s R1 foundational model to its GenAI technology inside Amazon Bedrock and SageMaker solutions.