Amazon Web Services has announced five generative artificial intelligence (AI) innovations, so organizations of all sizes can build new generative AI applications, enhance employee productivity, and transform their businesses.
The announcement includes the general availability of Amazon Bedrock, a fully managed service that makes foundation models (FMs) from leading AI companies available through a single application programming interface (API).
To give customers an even greater choice of FMs, AWS also announced that Amazon Titan Embeddings model is generally available and that Llama 2 will be available as a new model on Amazon Bedrock–making it the first fully managed service to offer Meta’s Llama 2 via an API.
For organizations that want to maximize the value their developers derive from generative AI, AWS is also announcing a new capability (available soon in preview) for Amazon CodeWhisperer, AWS’s AI-powered coding companion, that securely customizes CodeWhisperer’s code suggestions based on an organization’s own internal codebase.
To increase the productivity of business analysts, AWS is releasing a preview of Generative Business Intelligence (BI) authoring capabilities for Amazon QuickSight, a unified BI service built for the cloud, so customers can create compelling visuals, format charts, perform calculations, and more–all by simply describing what they want in natural language.
From Amazon Bedrock and Amazon Titan Embeddings to CodeWhisperer and QuickSight, these innovations add to the capabilities AWS provides customers at all layers of the generative AI stack—for organizations of all sizes and with enterprise-grade security and privacy, selection of best-in-class models, and powerful model customization capabilities.
“Over the last year, the proliferation of data, access to scalable compute, and advancements in machine learning (ML) have led to a surge of interest in generative AI, sparking new ideas that could transform entire industries and reimagine how work gets done,” said Swami Sivasubramanian, vice president of Data and AI at AWS.
“With enterprise-grade security and privacy, a choice of leading FMs, a data-first approach, and our high-performance, cost-effective infrastructure, organizations trust AWS to power their businesses with generative AI solutions at every layer of the stack. The announcement is a major milestone that puts generative AI at the fingertips of every business, from startups to enterprises, and every employee, from developers to data analysts. With powerful, new innovations, AWS is bringing greater security, choice, and performance to customers, while also helping them to tightly align their data strategy across their organization, so they can make the most of the transformative potential of generative AI.”
Organizations of all sizes and across industries want to get started with generative AI to transform their operations, reimagine how they solve tough problems, and create new user experiences. While recent advancements in generative AI have captured widespread attention, many businesses have not been able to take part in this transformation.
These organizations want to get started with generative AI, but they are concerned about the security and privacy of these tools. They also want the ability to choose from a wide variety of FMs, so they can test different models to determine which works best for their unique use case. Customers also want to make the most of the data they already have by privately customizing models to create differentiated experiences for their end users. Finally, they need tools that help them bring these new innovations to market quickly and the infrastructure to deploy their generative AI applications on a global scale.
That is why customers such as adidas, Alida, BMW Group, Genesys, Glide, GoDaddy, Intuit, LexisNexis Legal & Professional, Lonely Planet, Merck, NatWest Group, Perplexity AI, Persistent, Quext, RareJob Technologies, Rocket Mortgage, SnapLogic, Takenaka Corporation, Traeger Grills, the PGA TOUR, Verint, Verisk, WPS, and more have turned to AWS for generative AI.
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