AWS News Blog

Category: Artificial Intelligence

Amazon SageMaker Clarify makes it easier to evaluate and select foundation models (preview)

I’m happy to share that Amazon SageMaker Clarify now supports foundation model (FM) evaluation (preview). As a data scientist or machine learning (ML) engineer, you can now use SageMaker Clarify to evaluate, compare, and select FMs in minutes based on metrics such as accuracy, robustness, creativity, factual knowledge, bias, and toxicity. This new capability adds […]

Evaluate, compare, and select the best foundation models for your use case in Amazon Bedrock (preview)

I’m happy to share that you can now evaluate, compare, and select the best foundation models (FMs) for your use case in Amazon Bedrock. Model Evaluation on Amazon Bedrock is available today in preview. Amazon Bedrock offers a choice of automatic evaluation and human evaluation. You can use automatic evaluation with predefined metrics such as […]

AWS Clean Rooms ML helps customers and partners apply ML models without sharing raw data (preview)

Today, we’re introducing AWS Clean Rooms ML (preview), a new capability of AWS Clean Rooms that helps you and your partners apply machine learning (ML) models on your collective data without copying or sharing raw data with each other. With this new capability, you can generate predictive insights using ML models while continuing to protect your sensitive […]

Vector engine for Amazon OpenSearch Serverless is now available

Today we are announcing the general availability of the vector engine for Amazon OpenSearch Serverless with new features. In July 2023, we introduced the preview release of the vector engine for Amazon OpenSearch Serverless, a simple, scalable, and high-performing similarity search capability. The vector engine makes it easy for you to build modern machine learning […]

Introducing Amazon SageMaker HyperPod, a purpose-built infrastructure for distributed training at scale

Today, we are introducing Amazon SageMaker HyperPod, which helps reducing time to train foundation models (FMs) by providing a purpose-built infrastructure for distributed training at scale. You can now use SageMaker HyperPod to train FMs for weeks or even months while SageMaker actively monitors the cluster health and provides automated node and job resiliency by […]

Amazon Titan Image Generator, Multimodal Embeddings, and Text models are now available in Amazon Bedrock

Today, we’re introducing two new Amazon Titan multimodal foundation models (FMs): Amazon Titan Image Generator (preview) and Amazon Titan Multimodal Embeddings. I’m also happy to share that Amazon Titan Text Lite and Amazon Titan Text Express are now generally available in Amazon Bedrock. You can now choose from three available Amazon Titan Text FMs, including […]

Amazon Bedrock now provides access to Anthropic’s latest model, Claude 2.1

Today, we’re announcing the availability of Anthropic’s Claude 2.1 foundation model (FM) in Amazon Bedrock. Last week, Anthropic introduced its latest model, Claude 2.1, delivering key capabilities for enterprises such as an industry-leading 200,000 token context window (2x the context of Claude 2.0), reduced rates of hallucination, improved accuracy over long documents, system prompts, and […]

New generative AI capabilities for Amazon DataZone further simplify data cataloging and discovery (preview)

Today, we are announcing a preview of an automation feature backed by generative artificial intelligence (AI) for Amazon DataZone that will dramatically decrease the amount of time needed to provide context for organizational data. The new feature can automate the traditionally labor-intensive process of data cataloging. Powered by the large language models (LLMs) of Amazon […]