Amazon Titan Image Generator enables content creators with rapid ideation and iteration resulting in high efficiency image generation. You can now access the Amazon Titan Image Generator foundation model in Amazon Bedrock in preview, which helps you easily build and scale generative AI applications with new image generation and image editing capabilities.

You can now access Meta’s Llama 2 model 70B in Amazon Bedrock. The Llama 2 70B model now joins the already available Llama 2 13B model in Amazon Bedrock. Llama 2 models are next generation large language models (LLMs) provided by Meta. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies, like Meta, along with a broad set of capabilities that provide you with the easiest way to build and scale generative AI applications with foundation models.

Amazon Titan Multimodal Embeddings helps customers power more accurate and contextually relevant multimodal search, recommendation, and personalization experiences for end users. You can now access the Amazon Titan Multimodal Embeddings foundation model in Amazon Bedrock.

Stability AI’s Stable Diffusion XL 1.0 (SDXL 1.0) foundation model is now generally available on-demand in Amazon Bedrock. SDXL 1.0 is the most advanced development in the Stable Diffusion text-to-image suite of models launched by Stability AI. The model generates images of high quality in virtually any art style and it excels at photorealism. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies, like Stability AI, along with a broad set of capabilities that provide you with the easiest way to build and scale generative AI applications with foundation models.

Amazon Titan Text Express and Amazon Titan Text Lite are large language models (LLMs) that help customers improve productivity and efficiency for an extensive range of text-related tasks, and offer price and performance options that are optimized for your needs. You can now access these Amazon Titan Text foundation models in Amazon Bedrock, which helps you easily build and scale generative AI applications with new text generation capabilities.

Anthropic’s Claude 2.1 foundation model is now generally available in Amazon Bedrock. Claude 2.1 delivers 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 a beta tool use feature for function calling and workflow orchestration. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies, like Anthropic, along with a broad set of capabilities that provide you with the easiest way to build and scale generative AI applications with foundation models.

Today, AWS announces the general availability of Amazon SageMaker HyperPod, which reduces time to train foundation models (FMs) by up to 40% by providing purpose-built infrastructure for distributed training at scale. 

Today, AWS announces the general availability of vector engine for Amazon OpenSearch Serverless. Vector engine for OpenSearch Serverless is a simple, scalable, and high-performing vector database which makes it easier for developers to build machine learning (ML)–augmented search experiences and generative artificial intelligence (AI) applications without having to manage the underlying vector database infrastructure. Developers can rely on the vector engine’s cost-efficient, secure, and mature serverless platform to seamlessly transition from application prototyping to production. 

AWS Clean Rooms ML (Preview) helps you and your partners apply privacy-enhancing ML to generate predictive insights without having to share raw data with each other. The capability’s first model is specialized to help companies create lookalike segments. With AWS Clean Rooms ML lookalike modeling, you can train your own custom model using your data, and invite your partners to bring a small sample of their records to a collaboration to generate an expanded set of similar records while protecting you and your partner’s underlying data. Healthcare modeling will be available in the coming months.

Amazon OpenSearch Service zero-ETL integration with Amazon S3, a new way for customers to query operational logs in Amazon S3 and S3-based data lakes without needing to switch between tools to analyze operational data, is available for customer preview. Customers can boost the performance of their queries and build fast-loading dashboards using the built-in query acceleration capabilities of Amazon OpenSearch Service zero-ETL integration with Amazon S3.