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xvfeng-Vehicle-AI-Assistant

JasonGuoStomachache

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Based on commercial large model APIs, fine-tuned small semantic recognition models, and MCP technology, we have built an in-car intelligent AI assistant (demo) with over 400 skills. By developing irrelevant semantic rejection technology and dual-layer intent recognition technology, we achieve accurate and efficient dialogue and control in in-car scenarios.

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