Translations:FACTS About Building Retrieval Augmented Generation-based Chatbots/38/zh: Difference between revisions

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Keeping up with rapid progress in AI is like navigating a fast-moving river. Every aspect, from vector databases and embedding models to LLMs, agentic architectures, low-code/no-code platforms, RAG evaluation frameworks, and prompting techniques, is evolving rapidly. Concurrently, departments within companies are exploring generative AI by building their own chatbots and AI copilots.

跟上人工智能的快速进展就像在快速流动的河流中航行。从向量数据库和嵌入模型到大型语言模型（LLM）、代理架构、低代码/无代码平台、RAG评估框架和提示技术，每个方面都在迅速发展。同时，公司内部的各个部门正在通过构建自己的聊天机器人和AI助手来探索生成式人工智能。