by Azalio tdshpsk | Jul 10, 2024 | AWS
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...
by Azalio tdshpsk | Jul 10, 2024 | AWS
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...
by Azalio tdshpsk | Jul 10, 2024 | AWS
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...
by Azalio tdshpsk | Jul 10, 2024 | AWS
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...
by Azalio tdshpsk | Jul 10, 2024 | AWS
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....
by Azalio tdshpsk | Jul 10, 2024 | AWS
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...
