AI & Machine Learning

Building an Autonomous Multi-Tool AI Agent on Google Cloud with Vertex AI

29 sec read7 views0 listens

An autonomous multi-tool AI agent is being built on Google Cloud using Vertex AI, demonstrating how agents can evaluate prompts, select tools, and fetch real-time data for grounded responses. The system architecture features a user interaction layer on Cloud Run, an orchestration layer with Gemini on Vertex AI, and a tool execution layer connecting to various Google Cloud services and APIs. This enables developers to create sophisticated, data-aware AI agents.

Read the full article at DEV Community

Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.

You Might Like

AI & Machine LearningSep 629 sec read

Building a $5.70/Month Autonomous AI Coding Agent in the Cloud Using Open-Source Terminal Agent Management

An autonomous AI coding agent can be built and deployed in the cloud for as little as $5.70/month using open-source tools like agent-deck and orca. This is highly relevant for developers and tech professionals looking to automate coding tasks, as it ...

Ali Nemati

AI & Machine LearningAug 3130 sec read

Built an agent fleet that helps farmer's for free

Fieldhand, an AI agent fleet developed for the All Things Agentic Hackathon, helps farmers by accurately diagnosing crop issues without false alarms. This system uses a skeptical approach to verify findings, ensuring that only credible alerts are sen...

Ali Nemati

AI & Machine LearningOct 1425 sec read

Edge-to-Cloud Swarm Coordination for precision oncology clinical workflows with embodied agent feedback loops

Edge-to-cloud swarm coordination is being developed for precision oncology workflows, leveraging embodied agent feedback loops for faster convergence and efficient inference across heterogeneous compute nodes. This architecture addresses challenges l...

Ali Nemati