A common use case in generative AI is developing an agent, which is a system users interact with in plain language to accomplish a given task. Creating AI agents can require a lot of heavy lifting, ...

Google released a guide today that teaches developers and marketers how to build agents that follow fixed prompts to ones ...

Palo Alto Networks has shared details about how its researchers weaponized AI agents built on Google Cloud’s Vertex AI ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...

AI agents are LLM-powered interfaces designed to help people accomplish specific tasks. Creating and deploying them can be complex. Google's newly released Agent Development Kit for Python (and Java) ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...

What happens when a tech giant like Google decides to rewrite the rules of AI and cloud computing? With the unveiling of Gemini On-Prem, the Agent Developer Kit (ADK), and open-weight AI models, ...

Gemini is the cornerstone of Google’s AI agent strategy, leveraging its advanced multimodal capabilities to process and generate responses across text, images, audio, video and code. Developed by ...

This year marks our formal introduction to the agentic phase of the AI revolution. AI agents are models that can perform more complex tasks than simply answering questions. These agents can work on ...

Google is rolling out AI agents in Cloud that can handle everything from data analysis to code execution. Gemini CLI is gaining GitHub Actions, an agent that automates issue and contribution triage ...

The stolen credentials also granted access to the Google Cloud storage buckets within the tenant project in which a Vertex ...