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Today, most agents operate only on what’s visible in the current interaction: they can access facts and knowledge, but they can’t remember how they solved similar problems before or why certain approaches worked or failed. This creates a significant gap in their ability to learn and improve over time. Amazon Bedrock AgentCore episodic memory addresses …

Build agents to learn from experiences using Amazon Bedrock AgentCore episodic memory Read More »

This post was co-authored with Benjamin Kleppe, Machine Learning Engineering Lead at bunq. The integration of agentic AI is transforming the banking industry, marking a significant shift from traditional customer service systems. Agentic AI demonstrates autonomous decision-making capabilities in complex financial environments, enabling banks to provide round-the-clock multilingual support, process transactions, and deliver personalized financial …

How bunq handles 97% of support with Amazon Bedrock Read More »

Multi-agent solutions, in which networks of agents collaborate, coordinate, and reason together, are changing how we approach real-world challenges. Enterprises manage environments with multiple data sources, changing goals, and various constraints. This is where multi-agent architectures shine. By empowering multiple agents that each have specialized tools, memory, or perspectives to interact and reason as a …

Using Strands Agents to create a multi-agent solution with Meta’s Llama 4 and Amazon Bedrock Read More »

A look at how Sundance Institute will build a community-led ecosystem for AI education and empowerment, to support creatives. ​ 

We are excited to announce the general availability of multimodal retrieval for Amazon Bedrock Knowledge Bases. This new capability adds native support for video and audio content, on top of text and images. With it you can build Retrieval Augmented Generation (RAG) applications that can search and retrieve information across text, images, audio, and video—all …

Introducing multimodal retrieval for Amazon Bedrock Knowledge Bases Read More »

Our work with large enterprise customers and Amazon teams has revealed that high stakes use cases continue to benefit significantly from advanced large language model (LLM) fine-tuning and post-training techniques. In this post, we show you how fine-tuning enabled a 33% reduction in dangerous medication errors (Amazon Pharmacy), engineering 80% human effort reduction (Amazon Global …

Advanced fine-tuning techniques for multi-agent orchestration: Patterns from Amazon at scale Read More »

This post is co-written by Fan Zhang, Sr Principal Engineer / Architect from Palo Alto Networks. Palo Alto Networks’ Device Security team wanted to detect early warning signs of potential production issues to provide more time to SMEs to react to these emerging problems. The primary challenge they faced was that reactively processing over 200 …

How Palo Alto Networks enhanced device security infra log analysis with Amazon Bedrock Read More »

The AWS AI League, launched by Amazon Web Services (AWS), expanded its reach to the Association of Southeast Asian Nations (ASEAN) last year, welcoming student participants from Singapore, Indonesia, Malaysia, Thailand, Vietnam, and the Philippines. The goal was to introduce students of all backgrounds and experience levels to the exciting world of generative AI through …

From beginner to champion: A student’s journey through the AWS AI League ASEAN finals Read More »

Recently, AWS announced Amazon Bedrock AgentCore, a flexible service that helps developers seamlessly create and manage AI agents across different frameworks and models, whether hosted on Amazon Bedrock or other environments. Specifically, AgentCore Runtime provides a secure, serverless, and purpose-built hosting environment for deploying and running AI agents or tools. AgentCore Runtime is framework agnostic, …

Deploy AI agents on Amazon Bedrock AgentCore using GitHub Actions Read More »

We’re peeling back the origin story of Nano Banana, one of Google DeepMind’s most popular models. ​