在前面的章节中，我们系统地介绍了大模型的基础知识、训练方法和微调技术。本章将重点探讨大模型在实际应用中的关键技术和框架，涵盖大模型评测、RAG（检索增强生成）以及Agent（智能体）等核心内容，帮助读者深入理解大模型的实际应用场景和实现方法。

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