📄 中文摘要
当前，许多团队在使用术语LLM（大型语言模型）和AI智能体时存在混淆，认为它们是同义词。实际上，这两者并不相同。LLM是一种能力，而智能体则是一个系统。这种混淆可能导致过度工程化的解决方案，简单的LLM就足够了；也可能导致系统功能不足，智能体被期望表现得像人类。此外，这种误解还可能引发生产中的成本超支和不可预测的行为。因此，明确这两者的区别至关重要。
第二天：LLM与智能体——真正的区别是什么？
出处: Day 2: LLM vs Agent – What’s the Real Difference?
发布: 2026年2月14日
📄 English Summary
Day 2: LLM vs Agent – What’s the Real Difference?
Many teams today mistakenly use the terms LLM (Large Language Model) and AI Agent interchangeably, believing they are synonymous. In reality, they are not the same. An LLM is a capability, while an agent is a system. This confusion can lead to over-engineered solutions where a simple LLM would suffice, as well as under-powered systems that are expected to behave like humans. Additionally, this misunderstanding can result in cost overruns and unpredictable behavior in production. Therefore, understanding the distinction between these two concepts is crucial.