借助 LLM RAG 范式将大模型与客服场景的私有知识与数据相结合，构建客服自动问答系统，更及时准确地回答用户所遇到的问题，同时降低客服系统的人工成本。本次演讲将围绕以下内容展开：
🎯 基于 RAG 的客服自动问答系统参考架构
🎯 提升客服场景下大模型回答准确率
🎯 NVIDIA 提供的大模型推理部署优化工具
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