AI

The Amazon Bedrock multi-agent collaboration feature gives developers the flexibility to create and coordinate multiple AI agents, each specialized for specific tasks, to work together efficiently on complex business processes. This enables seamless handling of sophisticated workflows through agent cooperation. This post aims to demonstrate the application of multiple specialized agents within the Amazon Bedrock […]

A startup founder told a Palantir alumni Slack group that AI agents could do the work of tens of thousands of government employees. He was met with emojis of clowns and a man licking a boot.

In this post, we showcase how Dr. Kori Ramajoo, Dr. Sonia Brownsett, Prof. David Copland, from QARC, and Scott Harding, a person living with aphasia, used AWS services to develop WordFinder, a mobile, cloud-based solution that helps individuals with aphasia increase their independence through the use of AWS generative AI technology. In the spirit of

Our customers’ key strategic objectives are cost savings and building secure and resilient infrastructure. At AWS, we’re dedicated to helping you meet these critical goals with our unparalleled expertise and industry-leading tools. One of the most valuable resources we offer is the AWS Trusted Advisor detailed report, which provides deep insights into cost optimization, security

A WIRED investigation found that dozens of YouTube channels are using generative AI to depict cartoon cats and minions being beaten, starved, and sexualized—sparking fears of a new Elsagate wave.

The Covid-19 pandemic showed just how vulnerable global supply chains are. Climate shocks could pose an even greater risk.

A group of activists is turning to an old playbook to influence the future of one of the world’s most powerful AI companies.

Meta’s contentious AI copyright battle is heating up—and the court may be close to a ruling.

Multimodal fine-tuning represents a powerful approach for customizing foundation models (FMs) to excel at specific tasks that involve both visual and textual information. Although base multimodal models offer impressive general capabilities, they often fall short when faced with specialized visual tasks, domain-specific content, or particular output formatting requirements. Fine-tuning addresses these limitations by adapting models

Organizations implementing agents and agent-based systems often experience challenges such as implementing multiple tools, function calling, and orchestrating the workflows of the tool calling. An agent uses a function call to invoke an external tool (like an API or database) to perform specific actions or retrieve information it doesn’t possess internally. These tools are integrated