University of Chicago: Agentic Systems – A Guide to Transforming Industries with Vertical AI Agents

Summary of https://arxiv.org/pdf/2501.00881

This paper introduces agentic systems, a new generation of AI solutions using Large Language Models (LLMs) to create adaptable, industry-specific software agents. These agents offer advantages over traditional systems by providing domain expertise, real-time adaptability, and end-to-end workflow automation.

The paper details the core components of these agents, including memory, a reasoning engine, cognitive skills modules, and tools, and explores different categories of agentic systems: task-specific, multi-agent, and human-augmented.

Finally, it discusses current industry and academic efforts in building these systems and outlines future research directions.