The Amazon Strands Agents SDK is an open source framework for building AI agents that emphasizes a model-driven approach. Instead of hardcoding complex task flows, Strands uses the reasoning abilities of modern large language models (LLMs) to handle planning and tool usage autonomously. Developers can create an agent with a prompt (defining the agent’s role…
Picture this: your machine learning (ML) team has a promising model to train and experiments to run for their generative AI project, but they’re waiting for GPU availability. The ML scientists spend time monitoring instance availability, coordinating with teammates over shared resources, and managing infrastructure allocation. Simultaneously, your infrastructure administrators spend significant time trying to…
As organizations seek to derive greater value from their AWS Support data, operational teams are looking for ways to transform raw support cases and health events into actionable insights. While traditional analytics tools can provide basic reporting capabilities, teams need more sophisticated solutions that can understand and process natural language queries about their operational data….
Developers building AI applications face a common challenge: converting unstructured data into structured formats. Structured output is critical for machine-to-machine communication use cases, because this enables downstream use cases to more effectively consume and process the generated outputs. Whether it’s extracting information from documents, creating assistants that fetch data from APIs, or developing agents that…
“Tavily is now available on AWS Marketplace and integrates natively with Amazon Bedrock AgentCore Gateway. This makes it even faster for developers and enterprises to embed real-time web intelligence into secure, AWS-powered agents.” As enterprises accelerate their AI adoption, the demand for agent frameworks that can autonomously gather, process, and synthesize information has increased. Traditional…
The strength and capabilities of generative AI are accelerating at a dizzying pace. If you’re finding it difficult to keep up, we get it. That’s why WIRED is hosting its first AI Power Summit on September 15 in New York City. We’ve curated a series of panels and conversations with experts who will distill and…
Three days after the Trump administration published its much-anticipated AI action plan, the Chinese government put out its own AI policy blueprint. Was the timing a coincidence? I doubt it. China’s “Global AI Governance Action Plan” was released on July 26, the first day of the World Artificial Intelligence Conference (WAIC), the largest annual AI…
“There’s a lot of consequences of AI,” he said. “But the one I think the most about is automated research. When we look at human history, a lot of it is about technological progress, about humans building new technologies. The point when computers can develop new technologies themselves seems like a very important, um, inflection…
Meta CEO Mark Zuckerberg told investors that the newly formed Meta Superintelligence Labs is focused on building AI models that can self-improve—meaning they can learn from themselves without as much human input. The remarks came during a second-quarter earnings call on Wednesday. “At some level, [it’s] not just going to be learning from people, because…
Google’s newest AI model is going to scour the Earth and, ideally, help it out. That’s the plan, anyway. The mission is to find out once and for all, in fine detail, what we are doing to our planet. Crucially, once the model has supposedly done this it will also, apparently, explain where we might…
