The advent of large language models (LLMs) has transformed the field of artificial intelligence, empowering machines with unprecedented capabilities to understand and generate human-like text. Yet, the true potential of LLMs lies far beyond language generation—when seamlessly integrated with intelligent agents, they bridge the critical gap between comprehension and action. This seminar will explore the groundbreaking synergy between LLMs and autonomous agents, highlighting cutting-edge research and innovations. The talk will showcase how LLM-powered agents are driving advancements that enable systems to not only interpret natural language instructions but also perform complex tasks in dynamic, real-world environments, including programming, web searching, data analysis, scientific discovery, and more.