Author: Antje Barth

With multi-agent collaboration on Amazon Bedrock, developers can build, deploy, and manage multiple specialized agents working together seamlessly to tackle more intricate, multi-step workflows.

Enhance conversational AI accuracy with Automated Reasoning checks – first and only gen AI safeguard that helps reduce hallucinations by encoding domain rules into verifiable policies.

Agentic workflows are quickly becoming a cornerstone of AI innovation, enabling intelligent systems to autonomously handle and refine complex tasks in a way that mirrors human problem-solving. Last week, we launched Serverless Agentic Workflows with Amazon Bedrock, a new short course developed in collaboration with Dr. Andrew Ng and DeepLearning.AI. This hands-on course, taught by […]

AI21’s Jamba 1.5 models enable high-performance long-context language processing up to 256K tokens, with JSON output support and multilingual capabilities across 9 languages.

I’m always amazed by the talent and passion of our Amazon Web Services (AWS) community members, especially in their efforts to increase diversity, equity, and inclusion in the tech community. Last week, I had the honor of speaking at the AWS User Group Women Bay Area meetup, led by Natalie. This group is dedicated to […]

Enhance company knowledge bases with new Amazon Bedrock connectors for Confluence, Salesforce, SharePoint, and web domains – empowering RAG models with contextual data for more accurate and relevant responses.

Last week, Dr. Matt Wood, VP for AI Products at Amazon Web Services (AWS), delivered the keynote at the AWS Summit Los Angeles. Matt and guest speakers shared the latest advancements in generative artificial intelligence (generative AI), developer tooling, and foundational infrastructure, showcasing how they come together to change what’s possible for builders. You can […]

Titan Text Premier is the latest large language model (LLM) in the Amazon Titan family of models, further increasing your model choice within Amazon Bedrock.