Tag: multi-agent systems
Explore how to construct an advanced ideation agent system using AutoGen, enabling AI agents to collaboratively brainstorm and refine ideas. This tutorial guides you through setting up and leveraging AutoGen for sophisticated AI-driven ideation processes.
This article provides a comprehensive guide to constructing a hierarchical supervisor agent framework using CrewAI and Google Gemini. It details the setup, agent roles, task delegation, and workflow orchestration necessary for sophisticated multi-agent systems, enabling coordinated and efficient task execution.
This tutorial explores leveraging AutoGen's multi-agent framework to build sophisticated stock recommendation systems. Discover how to define agent roles, orchestrate workflows, and generate actionable investment insights.
Discover how AI agents and AutoGen can revolutionize task completion. This guide explores their capabilities, setup, and practical applications for tackling complex challenges efficiently.
CrewAI, a prominent multi-agent platform, has successfully closed an $18 million Series A funding round, signaling significant investor confidence in the future of autonomous AI collaboration. This funding is poised to accelerate the development and adoption of sophisticated AI agent frameworks.
Explore Microsoft's open Agent2Agent (A2A) protocol, a groundbreaking development enabling seamless communication and collaboration between AI agents. This tutorial delves into its architecture, benefits, and potential to revolutionize multi-agent applications.
