📄 中文摘要
人工智能已从基于规则的系统迅速发展到生成式AI，并进一步演进至智能体AI。生成式AI主要专注于内容创作，例如ChatGPT生成文章、DALL·E生成图像或GitHub Copilot提供代码建议，它仅在接收到指令时响应，不具备独立行动能力。智能体AI则在此基础上更进一步，能够自主行动以实现特定目标。理解这两种AI范式之间的区别，对于企业和专业人士规划其AI发展路径至关重要。智能体AI的出现标志着AI从被动响应向主动执行的转变，预示着更广泛的应用场景和更高的自动化水平，将对各行业产生深远影响。
📄 English Summary
What is Agentic AI and how is it different from Generative AI?
Artificial Intelligence has undergone rapid evolution, transitioning from rule-based systems to Generative AI, and now advancing to Agentic AI. Generative AI primarily focuses on creating new content, such as text, images, code, music, or videos, based on user prompts. Examples include ChatGPT for writing articles, DALL·E for image generation, and GitHub Copilot for code suggestions. A key characteristic of Generative AI is its reactive nature; it responds when prompted but does not initiate independent actions. Agentic AI, however, represents a significant leap forward by autonomously acting to achieve predefined goals. This distinction is crucial for businesses and professionals navigating their AI strategies. Understanding the fundamental differences between these two AI paradigms is essential for leveraging their respective strengths and planning future AI implementations. Agentic AI's ability to take independent action opens up new possibilities for automation and complex task execution, marking a shift from passive content generation to proactive problem-solving.