AWS enhances SageMaker with generative AI for endpoint optimization and data querying
Amazon Web Services (AWS) announced new generative AI capabilities for its SageMaker platform, as detailed in two first-party blog posts. These enhancements include tools for optimizing generative AI endpoint sizing through concurrency sweeps and the ability to query unstructured data within the SageMaker Catalog using generative AI. The company itself is the sole source for these feature announcements.
2 articles from 2 outlets covered this story. The underlying claim is sourced from a shipped.
What do all outlets agree on?
2 outlets covered “AWS enhances SageMaker with generative AI for endpoint optimization and data querying”. All of them report the following:
- AWS announced new features for Amazon SageMaker
- These features leverage generative AI
- One feature enables right-sizing generative AI endpoints using concurrency sweeps
- Another feature allows querying unstructured data in SageMaker Catalog with generative AI
Which outlets covered this?
All 2 articles found on this story, grouped by the stance of the piece. Every link goes to the original publisher.
Query unstructured data in Amazon SageMaker Catalog using generative AI - Amazon Web Services (AWS)originalAmazon Web Services (AWS) · general newsRight-size generative AI endpoints with concurrency sweeps on Amazon SageMaker AIoriginalAWS Machine Learning Blog · company statement