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title: "University of Chicago: Agentic Systems – A Guide to Transforming Industries with Vertical AI Agents"
slug: "university-of-chicago-agentic-systems-a-guide-to-transforming-industries-with-vertical-ai-agents"
author: "Jeremy Weaver"
date: "2025-01-06 17:34:21"
category: "Premium"
topics: "Agentic Systems Overview, Components of Adaptive AI Agents, Domain-Specific Software Expertise, LLM-Driven Cognitive Enhancements, Future Directions for Agentic Systems"
summary: "The content explains agentic systems—industry-specific AI agents powered by large language models—that offer real-time adaptability, domain expertise, and complete workflow automation through components like memory, reasoning engines, and cognitive modules."
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University of Chicago: Agentic Systems – A Guide to Transforming Industries with Vertical AI Agents<br><br><iframe title="University of Chicago: Agentic Systems – A Guide to Transforming Industries with Vertical AI Agents" allowtransparency="true" height="300" width="100%" style="border: none; min-width: min(100%, 430px);height:300px;" scrolling="no" data-name="pb-iframe-player" src="https://www.podbean.com/player-v2/?from=embed&i=evz6c-179a37c-pb&square=1&share=1&download=1&fonts=Arial&skin=1&font-color=auto&rtl=0&logo_link=episode_page&btn-skin=7&size=300" loading="lazy" allowfullscreen=""></iframe><br><br><p>Summary of <a href='https://arxiv.org/pdf/2501.00881'>Read Full Report</a></p>
<p>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.</p>
<p>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.</p>
<p>Finally, it discusses current industry and academic efforts in building these systems and outlines future research directions.</p>