Today, we’re announcing the preview of multimodal toxicity detection with image support in Amazon Bedrock Guardrails. This new capability detects and filters out undesirable image content in addition to text, helping you improve user experiences and manage model outputs in your generative AI applications. Amazon Bedrock Guardrails helps you implement safeguards for generative AI applications …
Today, Amazon Bedrock introduces four enhancements that streamline how you can analyze data with generative AI: Amazon Bedrock Data Automation (preview) – A fully managed capability of Amazon Bedrock that streamlines the generation of valuable insights from unstructured, multimodal content such as documents, images, audio, and videos. With Amazon Bedrock Data Automation, you can build …
New Amazon Bedrock capabilities enhance data processing and retrieval Read More »
Today, Amazon Bedrock has introduced in preview two capabilities that help reduce costs and latency for generative AI applications: Amazon Bedrock Intelligent Prompt Routing – When invoking a model, you can now use a combination of foundation models (FMs) from the same model family to help optimize for quality and cost. For example, with the …
Today, we’re introducing Amazon Bedrock Marketplace, a new capability that gives you access to over 100 popular, emerging, and specialized foundation models (FMs) through Amazon Bedrock. With this launch, you can now discover, test, and deploy new models from enterprise providers such as IBM and Nvidia, specialized models such as Upstages’ Solar Pro for Korean language …
Amazon Bedrock Marketplace: Access over 100 foundation models in one place Read More »
Today, we’re announcing the general availability of Amazon SageMaker HyperPod flexible training plans to help data scientists train large foundation models (FMs) within their timelines and budgets and save them weeks of effort in managing the training process based on compute availability. At AWS re:Invent 2023, we introduced SageMaker HyperPod to reduce the time to …
Today, we’re announcing the general availability of Amazon SageMaker HyperPod task governance, a new innovation to easily and centrally manage and maximize GPU and Trainium utilization across generative AI model development tasks, such as training, fine-tuning, and inference. Customers tell us that they’re rapidly increasing investment in generative AI projects, but they face challenges in …
Today, we announced the next generation of Amazon SageMaker, which is a unified platform for data, analytics, and AI, bringing together widely-adopted AWS machine learning and analytics capabilities. At its core is SageMaker Unified Studio (preview), a single data and AI development environment for data exploration, preparation and integration, big data processing, fast SQL analytics, …
Today, we announced the general availability of Amazon SageMaker Lakehouse and Amazon Redshift support for zero-ETL integrations from applications. Amazon SageMaker Lakehouse unifies all your data across Amazon Simple Storage Service (Amazon S3) data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and AI/ML applications on a single copy of data. SageMaker Lakehouse …
Today, I’m very excited to announce the general availability of Amazon SageMaker Lakehouse, a capability that unifies data across Amazon Simple Storage Service (Amazon S3) data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and artificial intelligence and machine learning (AI/ML) applications on a single copy of data. SageMaker Lakehouse is a …
Simplify analytics and AI/ML with new Amazon SageMaker Lakehouse Read More »
Amazon DynamoDB, a serverless NoSQL database, has been a go-to solution for over one million customers to build low-latency and high-scale applications. As data grows, organizations are constantly seeking ways to extract valuable insights from operational data, which is often stored in DynamoDB. However, to make the most of this data in Amazon DynamoDB for …
New Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse Read More »
