Category: Amazon SageMaker

Pushing the boundaries of generative AI, Meta unveils Llama 3.2, a groundbreaking language model family featuring enhanced capabilities, broader applicability, and multimodal image support, now available in Amazon Bedrock.

Amazon SageMaker HyperPod’s integration with Amazon EKS brings resilience, observability, and flexibility to large model training, reducing downtime by up to 40%.

Dive into the numbers from Amazon’s record-breaking Prime Day 2024, from AI chip deployment to the staggering transaction volumes across AWS services like Amazon DynamoDB, Aurora, CloudFront, and more.

I’m always amazed by the talent and passion of our Amazon Web Services (AWS) community members, especially in their efforts to increase diversity, equity, and inclusion in the tech community. Last week, I had the honor of speaking at the AWS User Group Women Bay Area meetup, led by Natalie. This group is dedicated to […]

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 […]