Category: Amazon SageMaker

The Llama 3.1 models are a collection of 8B, 70B, and 405B parameter size multilingual models that demonstrate state-of-the-art performance on a wide range of industry benchmarks, offering new capabilities for your generative AI applications.

Last week, AWS Heroes from around the world gathered to celebrate the 10th anniversary of the AWS Heroes program at Global AWS Heroes Summit. This program recognizes a select group of AWS experts worldwide who go above and beyond in sharing their knowledge and making an impact within developer communities. Matt Garman, CEO of AWS […]

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.