Session

Orchestrating Large Language Models (LLMs) with CrewAI

In an era where AI solutions are increasingly complex, the need for agentic AI, a model of AI that autonomously manages and executes complex workflows, has never been more critical. This session explores the foundations and advantages of agentic AI within the Crew AI framework, highlighting how orchestrations streamline and automate decision-making processes in real-time. The presentation covers Crew AI's core concepts, including tasks, crews, and flow, to show how these components interlink to facilitate flexible, adaptive problem-solving. The talk concludes with a live demo, providing a hands-on look at Crew AI's capabilities and demonstrating how to build a simple agent, giving participants practical insights into orchestrating efficient, intelligent workflows in their own projects.

Alessandro Romano

Senior Data Scientist

Hamburg, Germany

Actions

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top