Build generative AI applications with Amazon Bedrock Studio (preview)

Today, we’re introducing Amazon Bedrock Studio, a new web-based generative artificial intelligence (generative AI) development experience, in public preview. Amazon Bedrock Studio accelerates the development of generative AI applications by providing a rapid prototyping environment with key Amazon Bedrock features, including Knowledge Bases, Agents, and Guardrails. As a developer, you can now use your company’s single sign-on credentials to sign in to Bedrock Studio and start experimenting. You can build applications using a wide array of top performing models, evaluate, and share your generative AI apps within Bedrock Studio. The user interface guides you through various steps to help improve a model’s responses. You can experiment with model settings, and securely integrate your company data sources, tools, and APIs, and set guardrails. You can…

AWS Weekly Roundup: Amazon Q, Amazon QuickSight, AWS CodeArtifact, Amazon Bedrock, and more (May 6, 2024)

April has been packed with new releases! Last week continued that trend with many new releases supporting a variety of domains such as security, analytics, devops, and many more, as well as more exciting new capabilities within generative AI. If you missed the AWS Summit London 2024, you can now watch the sessions on demand, including the keynote by Tanuja Randery, VP & Marketing Director, EMEA, and many of the break-out sessions which will continue to be released over the coming weeks. Last week’s launches Here are some of the highlights that caught my attention this week: Manual and automatic rollback from any stage in AWS CodePipeline – You can now rollback any stage, other than Source, to any previously…

Build RAG applications with MongoDB Atlas, now available in Knowledge Bases for Amazon Bedrock

Foundational models (FMs) are trained on large volumes of data and use billions of parameters. However, in order to answer customers’ questions related to domain-specific private data, they need to reference an authoritative knowledge base outside of the model’s training data sources. This is commonly achieved using a technique known as Retrieval Augmented Generation (RAG). By fetching data from the organization’s internal or proprietary sources, RAG extends the capabilities of FMs to specific domains, without needing to retrain the model. It is a cost-effective approach to improving model output so it remains relevant, accurate, and useful in various contexts. Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you implement the entire RAG workflow from ingestion to…

Stop the CNAME chain struggle: Simplified management with Route 53 Resolver DNS Firewall

Starting today, you can configure your DNS Firewall to automatically trust all domains in a resolution chain (such as aCNAME, DNAME, or Alias chain). Let’s walk through this in nontechnical terms for those unfamiliar with DNS. Why use DNS Firewall? DNS Firewall provides protection for outbound DNS requests from your private network in the cloud (Amazon Virtual Private Cloud (Amazon VPC)). These requests route through Amazon Route 53 Resolver for domain name resolution. Firewall administrators can configure rules to filter and regulate the outbound DNS traffic. DNS Firewall helps to protect against multiple security risks. Let’s imagine a malicious actor managed to install and run some code on your Amazon Elastic Compute Cloud (Amazon EC2) instances or containers running inside…