LLM‑Powered Intent Understanding, RAG QA, and Knowledge Base Maintenance for Recycling

This article details how Zhuanzhuan leverages large language models to enhance on‑site device inspection through a three‑stage pipeline—intent understanding, retrieval‑augmented generation QA, and automated knowledge‑base upkeep—highlighting technical innovations, workflow integration, and the resulting operational benefits.

AIIntent UnderstandingKnowledge Base

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LLM‑Powered Intent Understanding, RAG QA, and Knowledge Base Maintenance for Recycling

DataFunTalk

May 31, 2019 · Artificial Intelligence

Intelligent Customer Service at Meituan: Dialogue Framework, Intent Understanding, Knowledge Discovery, and Emotion Recognition

Meituan's intelligent customer service leverages a dialogue interaction framework with machine‑learning‑driven intent mining, understanding, emotion detection, dialogue management, knowledge discovery, and multi‑task learning to handle both simple QA and complex multi‑turn tasks across its diverse service ecosystem.

AICustomer ServiceEmotion Recognition

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Intelligent Customer Service at Meituan: Dialogue Framework, Intent Understanding, Knowledge Discovery, and Emotion Recognition