In today’s newsletter, Kevin J. Delaney highlights the evolving role of AI in the workplace, focusing on AI agents and their impact on organizational structures. Research shows that AI could function almost like virtual employees by next year, although current studies reveal they struggle with complex tasks. Companies are rethinking traditional org charts, moving towards ...
Amazon Web Services (AWS) has enhanced its Amazon Q Developer by introducing support for multiple languages, including Arabic, French, German, Hindi, Italian, Japanese, Korean, Mandarin, Portuguese, and Spanish. This new feature is available in the integrated development environment (IDE) and command line interface (CLI), with plans to add it to the AWS Management Console soon. ...
Amazon Web Services (AWS) has expanded the language support for its generative AI agents, now available in Arabic, French, German, Hindi, Italian, Japanese, Korean, Mandarin, Portuguese, and Spanish. This update enhances the Amazon Q Developer tool, making it easier for developers to collaborate and improve productivity across diverse teams. By translating comments and documentation, AWS ...
In our latest discussion on AI evaluations, we dive into Google’s new Agent2Agent (A2A) framework, designed for smooth communication between different AI agents. This open protocol allows agents, regardless of their origin, to collaborate effectively within various systems, promoting productivity and reducing the complexities of integration. A2A supports different types of interactions and prioritizes security, ...
AI agents are advanced programs that autonomously tackle tasks and make decisions based on data. Unlike traditional AI models that respond to individual prompts in isolation, AI agents maintain context, learn from experiences, and adapt over time. They can perceive their environment, execute complex tasks, and collaborate with other agents, effectively mimicking teamwork. This capability ...
Google has introduced the Agent2Agent Protocol (A2A), a groundbreaking open standard that allows artificial intelligence agents to communicate directly with one another, regardless of their origin or framework. This innovation aims to transform isolated bots into cooperative digital teams, enhancing their ability to collaborate on tasks ranging from scheduling meetings to complex projects. Supported by ...
Agent File (.af) is a new open standard file format designed for storing and sharing stateful agents, originally created for the Letta framework. It allows you to package all the necessary components of an agent, including prompts, memory, tool settings, and model configurations, in one file for easy transfer between different frameworks. With Agent File, ...
Codeium is transforming software development into an accessible experience for everyone, even those without technical skills. Their Windsurf IDE allows users to collaborate with AI agents to create custom software quickly and efficiently. Imagine asking an AI to build an interactive solar system model or visualize complex scientific data—Codeium makes that possible. As users can ...
The rapid evolution of Agentic AI is hindered by a lack of shared communication protocols, tools, and trust. To reach its full potential, we need to create an “Internet of Agents,” where AI systems can collaborate seamlessly across different platforms. Currently, these agents work well within their own ecosystems, such as Microsoft or Google, but ...
In a groundbreaking collaboration with Microsoft and NVIDIA, we’ve integrated NVIDIA NIM microservices and the NVIDIA AgentIQ toolkit into Azure AI Foundry. This powerful combination enhances the efficiency, performance, and cost-effectiveness of your AI projects. By simplifying the AI development lifecycle, businesses can deploy applications more rapidly—saving valuable time. NVIDIA NIM offers easy-to-use, high-performance microservices ...
