Tool Use and LLM Agent Basics - Lecture 15

Learn about the fundamentals of Large Language Model (LLM) agents and tool usage in this comprehensive lecture from Carnegie Mellon University's Advanced Natural Language Processing course. Explore essential concepts including agent fundamentals, various use cases and environments, tool utilization strategies, methods for representing and understanding environments, reasoning and planning approaches, and the dynamics of multi-agent systems. Gain valuable insights into how LLM agents interact with their environments, make decisions, and collaborate with other agents to accomplish tasks. The lecture provides a thorough foundation for understanding the practical applications and theoretical underpinnings of LLM agent systems in modern natural language processing.