AWS News Blog
Category: Artificial Intelligence
Guardrails for Amazon Bedrock helps implement safeguards customized to your use cases and responsible AI policies (preview)
As part of your responsible artificial intelligence (AI) strategy, you can now use Guardrails for Amazon Bedrock (preview) to promote safe interactions between users and your generative AI applications by implementing safeguards customized to your use cases and responsible AI policies. AWS is committed to developing generative AI in a responsible, people-centric way by focusing […]
Agents for Amazon Bedrock is now available with improved control of orchestration and visibility into reasoning
Back in July, we introduced Agents for Amazon Bedrock in preview. Today, Agents for Amazon Bedrock is generally available. Agents for Amazon Bedrock helps you accelerate generative artificial intelligence (AI) application development by orchestrating multistep tasks. Agents uses the reasoning capability of foundation models (FMs) to break down user-requested tasks into multiple steps. They use […]
Customize models in Amazon Bedrock with your own data using fine-tuning and continued pre-training
Today, I’m excited to share that you can now privately and securely customize foundation models (FMs) with your own data in Amazon Bedrock to build applications that are specific to your domain, organization, and use case. With custom models, you can create unique user experiences that reflect your company’s style, voice, and services. With fine-tuning, […]
Knowledge Bases now delivers fully managed RAG experience in Amazon Bedrock
Back in September, we introduced Knowledge Bases for Amazon Bedrock in preview. Starting today, Knowledge Bases for Amazon Bedrock is generally available. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation (RAG). Access to additional data helps the model generate more relevant, […]
Amazon CodeWhisperer offers new AI-powered code remediation, IaC support, and integration with Visual Studio
Today, we’re announcing the general availability of artificial intelligence (AI)-powered code remediation and infrastructure as code (IaC) support for Amazon CodeWhisperer, an AI-powered productivity tool for the IDE and command line. Amazon CodeWhisperer is also now available in Visual Studio, in preview. These new enhancements to Amazon CodeWhisperer help to enable faster and more efficient […]
Use natural language to query Amazon CloudWatch logs and metrics (preview)
To make it easy to interact with your operational data, Amazon CloudWatch is introducing today natural language query generation for Logs and Metrics Insights. With this capability, powered by generative artificial intelligence (AI), you can describe in English the insights you are looking for, and a Logs or Metrics Insights query will be automatically generated. […]
Amazon Transcribe Call Analytics adds new generative AI-powered call summaries (preview)
We are announcing generative artificial intelligence (AI)-powered call summarization in Amazon Transcribe Call Analytics in preview. Powered by Amazon Bedrock, this feature helps businesses improve customer experience, and agent and supervisor productivity by automatically summarizing customer service calls. Amazon Transcribe Call Analytics provides machine learning (ML)-powered analytics that allows contact centers to understand the sentiment, […]
Build generative AI apps using AWS Step Functions and Amazon Bedrock
Today we are announcing two new optimized integrations for AWS Step Functions with Amazon Bedrock. Step Functions is a visual workflow service that helps developers build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines. In September, we made available Amazon Bedrock, the easiest way to build and scale generative […]