LLM-Powered AI Agent Systems and Their Applications in Industry

The paper discusses the transformative impact of Large Language Models (LLMs) on agent systems, highlighting their enhanced flexibility, cross-domain reasoning, and ability to process multi-modal data such as text, images, and audio. It categorizes agent systems into software-based, physical, and adaptive hybrids, detailing their applications in various industries including customer service and healthcare. Additionally, the paper addresses challenges like high inference latency and security vulnerabilities, proposing solutions to improve the deployment of LLM-powered agents in real-world scenarios.