When we launched Amazon Q Business in April 2024, we also previewed Amazon Q Apps. Amazon Q Apps is a capability within Amazon Q Business for users to create generative artificial intelligence (generative AI)–powered apps based on the organization’s data. Users can build apps using natural language and securely publish them to the organization’s app …
Today, we’re making the Amazon Q Developer (in your IDE) customization capability generally available for inline code completion, and we’re launching a preview of customization for the chat. You can now customize Amazon Q to generate specific code recommendations from private code repositories in the IDE code editor and in the chat. Amazon Q Developer …
Customize Amazon Q Developer (in your IDE) with your private code base Read More »
With Agents for Amazon Bedrock, generative artificial intelligence (AI) applications can run multistep tasks across different systems and data sources. A couple of months back, we simplified the creation and configuration of agents. Today, we are introducing in preview two new fully managed capabilities: Retain memory across multiple interactions – Agents can now retain a …
Agents for Amazon Bedrock now support memory retention and code interpretation (preview) Read More »
Guardrails for Amazon Bedrock enables customers to implement safeguards based on application requirements and and your company’s responsible artificial intelligence (AI) policies. It can help prevent undesirable content, block prompt attacks (prompt injection and jailbreaks), and remove sensitive information for privacy. You can combine multiple policy types to configure these safeguards for different scenarios and …
Using Knowledge Bases for Amazon Bedrock, foundation models (FMs) and agents can retrieve contextual information from your company’s private data sources for Retrieval Augmented Generation (RAG). RAG helps FMs deliver more relevant, accurate, and customized responses. Over the past months, we’ve continuously added choices of embedding models, vector stores, and FMs to Knowledge Bases. Today, …
Knowledge Bases for Amazon Bedrock now supports additional data connectors (in preview) Read More »
Today, we are announcing a new capability in Amazon SageMaker Studio that simplifies and accelerates the machine learning (ML) development lifecycle. Amazon Q Developer in SageMaker Studio is a generative AI-powered assistant built natively into the SageMaker JupyterLab experience. This assistant takes your natural language inputs and crafts a tailored execution plan for your ML …
Introducing Amazon Q Developer in SageMaker Studio to streamline ML workflows Read More »
As technology continues to advance, optimizing resources by balancing investment between infrastructure and application deployment becomes increasingly important. Two leading methods for addressing these challenges are virtualization and containerization. This article will educate readers about the differences between these technologies and help determine which approach is best suited to achieving their goals. The distinctions between …
Understanding Virtualization and Containerization Read More »
In a News Blog post for re:Invent 2023, we introduced you to Amazon S3 Express One Zone, a high-performance, single-Availability Zone (AZ) storage class purpose-built to deliver consistent single-digit millisecond data access for your most frequently accessed data and latency-sensitive applications. It is well-suited for demanding applications and is designed to deliver up to 10x …
Monitor data events in Amazon S3 Express One Zone with AWS CloudTrail Read More »
Get ready for the excitement of the AWS Summit in New York City, one of our biggest annual events that takes place tomorrow, Wed., July 10, 2024. In-person space is full, but you can still register to watch the keynote, where Dr. Matt Wood, AWS VP for AI Products, will announce the latest launches and …
Top Announcements of the AWS Summit in New York, 2024 Read More »
Today, we announce the general availability of data preparation authoring in AWS Glue Studio Visual ETL. This is a new no-code data preparation user experience for business users and data analysts with a spreadsheet-style UI that runs data integration jobs at scale on AWS Glue for Spark. The new visual data preparation experience makes it …
Integrate your data and collaborate using data preparation in AWS Glue Studio Read More »
