Category: Amazon SageMaker

Streamline your ML workflows with this generative AI assistant providing tailored guidance, code generation, and error troubleshooting, to build, train, and deploy models efficiently.

I counted only 21 AWS news since last Monday, most of them being Regional expansions of existing services and capabilities. I hope you enjoyed a relatively quiet week, because this one will be busier. This week, we’re welcoming our customers and partners at the Jacob Javits Convention Center for the AWS Summit New York on […]

AWS Summit New York is 10 days away, and I am very excited about the new announcements and more than 170 sessions. There will be A Night Out with AWS event after the summit for professionals from the media and entertainment, gaming, and sports industries who are existing Amazon Web Services (AWS) customers or have […]

This week, I had the opportunity to try the new Anthropic Claude 3.5 Sonnet model in Amazon Bedrock just before it launched, and I was really impressed by its speed and accuracy! It was also the week of AWS Summit Japan. JAWS-UG, a Japanese AWS user group, held various sessions with AWS Heroes and Community Builders at […]

Use Amazon SageMaker with MLflow to track experiments, compare runs, register candidate models, and transition models from experimentation to production.

Gain comprehensive visibility with the AWS Audit Manager generative AI best practices framework v2, which now includes Amazon SageMaker.

Life is not always happy, there are difficult times. However, we can share our joys and sufferings with those we work with. The AWS Community is no exception. Jeff Barr introduced two members of the AWS community who are dealing with health issues. Farouq Mousa is an AWS Community Builder and fighting brain cancer. Allen […]

With Amazon Bedrock, you have access to a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies that make it easier to build and scale generative AI applications. Some of these models provide publicly available weights that can be fine-tuned and customized for specific use cases. However, deploying customized FMs in a […]