What is the key capability that distinguishes agents from LLMs with function calling?
이 연습은 강의의 일부입니다
이론을 실습으로 바꾸는 인터랙티브 연습 중 하나를 만나보세요
This module introduces the fundamentals of AI agents and why they represent a paradigm shift away from simple LLMs. You’ll learn the difference between language models that can only discuss solutions to agents that can autonomously execute them.
현재 연습
This module reveals the internal architecture that powers every AI agent. You’ll explore how three fundamental components—the model, tools, and orchestration—work together to transform static language models into autonomous systems capable of continuous, goal-directed action.
This module equips you with a practical decision-making framework for determining when agents are the right solution. You'll learn to identify scenarios where agents provide exceptional value, recognize anti-patterns where simpler solutions might be better, and make informed architectural decisions for your specific use case.
You've completed the foundational course on AI agents in just 60 minutes and now possess a clear understanding of what agents are, how they work, and when to use them. This theoretical foundation will serve as your north star as you progress to building real agent systems in upcoming courses.
