别再卷RAG了，Agent才是「超级生产力」| 极客时间

Core Insights - The article emphasizes that 2025 will be a pivotal year for Agents to transition from a technical concept to mainstream commercial use, making it essential for both businesses and individuals to adopt Agents for survival in the era of intelligence [2]. What is an Agent? - An Agent is defined as an "autonomous intelligent entity" capable of perceiving its environment, analyzing objectives, making decisions, and continuously evolving. Unlike traditional AI, which is viewed as a tool, Agents function more like digital assistants [2]. - For programmers, Agents are not merely "chatbots" but "super plugins" that can autonomously break down tasks using frameworks like LLM and reinforcement learning [2]. How to Embrace Agents? - To help developers quickly understand the core technologies behind Agents, a recommended resource is a two-hour video course titled "Agent Development Methodology in the Era of Large Models," created by Peng Jing Tian, a Google Developer Expert [4]. Cognitive Upgrade and Skill Reconstruction - The article suggests a shift in mindset from focusing on "AI replacing jobs" to considering "how to leverage Agents to amplify personal value" [6]. - It highlights the importance of mastering new collaborative languages for working with Agents, such as prompt engineering, goal decomposition, and human-machine collaboration [6]. Additional Resources - The article mentions a series of supplementary learning materials, including a "China AI Agent Product Compass," an "AI Agent Industry Research Report," and course-related materials to provide a more systematic understanding of Agents [8]. - A knowledge base on Agents is also available, offering insights into various frameworks and applications [10]. Industry Applications - The article notes that Agents are gaining traction due to their ability to execute tasks autonomously and their broad applicability across various industries, including healthcare, education, and finance [20].