Google’s resurgence in the AI landscape highlights its shift from a struggling competitor to a leader. After a challenging year, the recent Google Cloud Next 2025 event showcased the company’s powerful AI models, including Gemini 2.5 Pro, which outperforms competitors like OpenAI’s GPT-4. With a robust infrastructure built on advanced Tensor Processing Units and a ...
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, ...
This week, the Model Context Protocol (MCP) has emerged as a key player in AI integration, often compared to USB-C for its universal connectivity. Introduced by Anthropic in late 2024, MCP acts as a standard bridge between AI systems and various tools, enabling seamless interactions without the need for custom solutions. Since its launch, adoption ...
At Google’s recent Cloud Next conference, the focus was clearly on artificial intelligence and efficiency. Google Cloud CEO Thomas Kurian highlighted advancements in AI agents, making them central to Google’s strategy. Notable updates included the introduction of an Agent Development Kit that enhances interoperability across services, allowing different agents to communicate and access various data ...
Artificial intelligence (AI) is increasingly shaping our daily lives, especially with generative tools like ChatGPT. Effective communication with these AI models is essential, and Google’s Prompting Essentials course offers a structured approach to mastering this skill. The course is divided into four modules, teaching how to create effective prompts for various tasks, from emails to ...
Three leading AI companies, previously seen as rivals, are joining forces to enhance AI performance. Google recently announced its support for Anthropic’s Model Context Protocol (MCP), which enables AI systems to access various data sources and applications more effectively. This support will primarily focus on Google’s Gemini models. Following this, OpenAI also committed to adopting ...
Three leading AI companies, previously seen as rivals, are joining forces to enhance AI performance. Google recently announced its support for Anthropic’s Model Context Protocol (MCP), which enables AI systems to access various data sources and applications more effectively. This support will primarily focus on Google’s Gemini models. Following this, OpenAI also committed to adopting ...
Welcome to the Sample Agents repository, a collection of pre-built agents created with the Agent Development Kit. These agents cater to various use cases, from simple chatbots to complex workflows, making development easier and faster. Each Sample Agent features core logic tailored for different scenarios and can be customized to meet specific needs. To get ...
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 ...
Google is launching an AI feature called ‘What People Suggest’ that helps users explore health-related discussions online. This tool categorizes opinions into easy-to-understand themes and offers links for more reading, currently available on mobile search in the US. Meanwhile, China’s startup Monica has introduced Manus, an advanced AI capable of performing various real-world tasks, gathering ...
