At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company, announced Amazon Bedrock innovations that expand model choice and deliver powerful capabilities, making it easier for customers to build and scale generative artificial intelligence (AI) applications customized to their businesses. Amazon Bedrock is a fully managed service that offers easy access to a choice of industry-leading large language models and other foundation models from AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, along with a broad set of capabilities that customers need to build generative AI applications—simplifying development while supporting privacy and security. These announcements further democratize access to generative AI by empowering customers with even more choice of industry-leading models and new capabilities to evaluate them, simplifying how they customize models with relevant and proprietary data, supplying tools to automate the execution of complex tasks, and equipping customers with safeguards to build and deploy applications responsibly. Together, these new additions to Amazon Bedrock transform how organizations of all sizes and across all industries can use generative AI to spark innovation and reinvent customer experiences.
“Generative AI is poised to be the most transformational technology of our time, and we are inspired by how customers are applying it to new opportunities and tackling business challenges,” said Dr. Swami Sivasubramanian, vice president of Data and AI at AWS. “As customers incorporate generative AI into their businesses, they turn to Amazon Bedrock for its choice of leading models, customization features, agent capabilities, and enterprise-grade security and privacy in a fully managed experience. With even more tools at their fingertips, customers are using Amazon Bedrock to leverage the full potential of generative AI to reimagine user experiences, reinvent their businesses, and accelerate their generative AI journeys.”
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Organizations want to use generative AI for a wide variety of use cases—like generating productivity gains, driving innovative user experiences, and reimagining work—but generative AI is evolving rapidly, with new options and innovations happening daily. With so much fluidity in this space, customers’ ability to adapt is arguably the most valuable tool of all. Organizations need to be able to experiment, deploy, iterate, and pivot using the latest and greatest models available, and be ready to immediately embrace what comes tomorrow. To address these challenges, AWS developed Amazon Bedrock to make building with—and moving between—a range of models as easy as an API call, to put the latest techniques for model customization in the hands of all developers, and to keep customers secure and their data private. This is why customers such as Alida, Automation Anywhere, Blueshift, BMW Group, Clariant, Coinbase, Cox Automotive, dentsu, Druva, Genesys, Gilead, GoDaddy, Hellmann Worldwide Logistics, INRIX, KONE, LexisNexis Legal & Professional, Lonely Planet, NatWest, Nexxiot, OfferUp, Omnicom, the PGA TOUR, Proofpoint, Salesforce, Siemens, Takenaka Corporation, and Verint have turned to Amazon Bedrock to help them harness the power of generative AI for their organizations. Today’s announcement introduces new models and capabilities that will make it even easier for customers to build and scale generative AI applications.
The latest models from Anthropic, Cohere, Meta, and Stability AI, as well as additions to the Amazon Titan family, expand model choice for customers
No single model is ideal for every use case. Models vary across capabilities, price, and performance. Customers need easy access to a variety of model choices, so they can try out different models, switch between them, and combine the best models for their needs. With Amazon Bedrock, customers can drive rapid innovation with the latest versions of models, including the newly available Anthropic Claude 2.1 and Meta Llama 2 70B, and the recently available Cohere Command Light, Cohere Embed English, Cohere Embed multilingual, Meta Llama 2 13B, and Stability AI Stable Diffusion XL 1.0—all accessible via an API. In addition to Amazon Titan Text Embeddings and Amazon Titan Text models (now generally available), AWS is introducing Amazon Titan Image Generator and Amazon Titan Multimodal Embeddings to give customers even more choice and flexibility to build generative AI applications with models. Exclusive to Amazon Bedrock, Amazon Titan models are created and pre-trained by AWS on large and diverse datasets for a variety of use cases, with built-in support for the responsible use of AI. And Amazon indemnifies customers against claims that generally available Amazon Titan models or their outputs infringe on third-party copyrights.
SOURCE: BusinessWire
