The Emergence of Agentic Workflows in AI
About this talk
Schedule
Room:3
Date: April 25
Time: 11:30–11:55
Abstract
AI is evolving from passive tools to autonomous agents, driving the rise of agentic workflows that can plan, execute, and optimize tasks with minimal human input. This session will explore how large language models and multi-agent collaboration power these systems, enhancing efficiency and innovation. Attendees will gain insights into real-world applications, challenges, and the future of autonomous AI systems, uncovering how agentic workflows are transforming industries.
Prerequisites
Familiarity with LLMs
Description
As AI systems transition from passive tools to autonomous agents, agentic workflows are emerging as a new paradigm. These AI-driven systems autonomously plan, execute, and optimize tasks with minimal human input, transforming areas like automation and decision-making. This session will focus on how developers can leverage large language models and multi-agent collaboration to build efficient, innovative agentic workflows. Code examples using a popular agentic framework will be demonstrated, providing hands-on insights into real-world applications. Attendees will also explore challenges and future directions for autonomous AI systems, gaining valuable knowledge on how agentic workflows are accelerating AI-driven change.
