---
title: "Duolun Technology: \"Duoduo Jiadao\" integrates DeepSeek to create a new generation of \"driving training intelligent agents\""
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/228132947.md"
description: "Duolun's \"DuoDuo JiaDao\" integrates the AI large model DeepSeek, launching a new generation of \"driving training intelligent agents.\" This move enhances teaching accuracy and human-computer interaction capabilities, marking the entry of intelligent driving training into the \"cognitive-driven\" stage. In the future, Duolun will continue to promote the application of domestic large model technology in fields such as smart transportation"
datetime: "2025-02-13T05:14:22.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/228132947.md)
  - [en](https://longbridge.com/en/news/228132947.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/228132947.md)
---

# Duolun Technology: "Duoduo Jiadao" integrates DeepSeek to create a new generation of "driving training intelligent agents"

Duolun Technology announced today via its official WeChat account that its subsidiary "Duoduo Driving" has integrated with the leading domestic AI large model DeepSeek. With the R1 reasoning model and VL2 multimodal model as the core foundation, it fully empowers the "Lingxi" series products, reconstructing the accuracy of teaching and the warmth of human-computer interaction, creating a new generation of "driving training intelligent agents" and "voice interaction intelligent agents." This marks a new stage in intelligent driving training from "perception-driven" to "cognition-driven." Among them, the deep integration of Duoduo Driving and DeepSeek significantly enhances the capabilities of Duoduo Coach and Duoduo Cockpit in natural language understanding, multimodal interaction, data analysis, and emotional recognition. In the future, Duolun Technology will continue to promote the in-depth application of domestic large model technology in the "big transportation" ecosystem, accelerating the implementation in scenarios such as intelligent vehicle management, intelligent transportation, intelligent vehicle inspection, and new energy

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