But it still has to learn about custom patterns from devs or docs, and needs help to review and tune its output.

AWS introduces model customization techniques for Amazon Bedrock and SageMaker, enabling users to more easily build and fine-tune agents.

Early customers have reported up to 80% reduction in execution time, allowing teams to redeploy developer hours toward product work.

The new markdown-based format aims to provide structured, natural language workflows for AI agents, addressing ...

Strands is an open-source SDK launched by AWS in May. It takes a model-driven approach to building and running AI agents ...

Amazon Web Services has unveiled new autonomous AI “frontier agents” that can code, secure and operate software for days ...

AWS has elevated Rust support in Lambda from experimental to generally available, empowering developers to create ...

The cloud giant is moving on from the days of passive generative AI chatbots, building highly autonomous and massively ...

Integration and AWS Marketplace availability give customers visibility and control over AI agents built on AgentCore Zenity, the leading security and governance platform for AI agents, today announced ...

Remco Timmer explains HERE’s strategy for EVs, L2+ automation and SDVs, using unified maps, AI and ODD-aware navigation for ...

AI is going to disrupt the way professionals work. From marketers leveraging ChatGPT for producing content to developers ...