📄 中文摘要
Rasa NLU 模型的训练过程包括三个核心步骤：创建结构化训练数据、配置 NLU 流水线和训练模型。Rasa 模型通过标注示例进行学习，与基于规则的系统不同，用户不需要编写逻辑，而是提供示例数据。理解模型的工作原理至关重要，但没有数据，模型将毫无用处。DIET 模型展示了联合意图和实体学习的能力，接下来将理论应用于实践，开始实际的 NLU 开发。
从 DIET 到部署：训练你的第一个 Rasa NLU 模型
出处: From DIET to Deployment: Training Your First Rasa NLU Model
发布: 2026年2月16日
📄 English Summary
From DIET to Deployment: Training Your First Rasa NLU Model
The training process for Rasa NLU models consists of three core steps: creating structured training data, configuring the NLU pipeline, and training the model. Rasa models learn entirely from annotated examples, differing from rule-based systems where logic is written. Understanding how models work is crucial, but without data, they are useless. The DIET model demonstrates the capability of joint intent and entity learning, moving from theory to practice to initiate real NLU development.