📄 中文摘要
生成型人工智能（Gen AI）是一种能够基于训练数据生成新数据（如图像、文本、音频等）的人工智能。其基本原理是使用大量数据进行模型训练，用户通过提示（例如提问）来引导模型生成所需内容。AI 可分为两大类：判别式 AI 和生成式 AI。判别式 AI 主要用于构建分类模型，依赖于标注数据进行学习，而生成式 AI 则能够根据输入的提示生成全新的内容，展示出更高的灵活性和创造力。
理解代理 AI 生态系统：提示、记忆、RAG、MCP 和工具使用的 LLMs
📄 English Summary
Understanding the Agentic AI Ecosystem: Prompts, Memory, RAG, MCP, and Tool-Using LLMs
Generative AI (Gen AI) refers to a type of artificial intelligence capable of generating new data such as images, text, and audio based on training data. The core concept involves training a model on a large dataset and then using prompts (questions) to guide the model in generating desired outputs. AI can be categorized into two main families: discriminative AI and generative AI. Discriminative AI is traditionally used for building classification models that rely on labeled data for learning, while generative AI demonstrates greater flexibility and creativity by generating entirely new content based on input prompts.