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Chang'an Tianshu Large Model Passes National Generative AI Filing, Setting New AI Benchmark in Automotive
Changan Automobile has announced that its independently developed "Tianshu Large Model" — built entirely from the stack by the company’s own team — has officially passed the review process and received filing approval from the National Cyberspace Administration for generative artificial intelligence services. This milestone makes Changan the first automaker in Chongqing and one of the few in China to hold this national-level certification, marking a new phase where its in-house AI technology is now fully licensed for commercial deployment.
Designed from the ground up to handle the complex demands of in-vehicle environments, the Tianshu Large Model serves as the core foundation for Changan's deep push into intelligent systems. It integrates voice, text, and visual data with multi-modal processing capabilities, delivering a smarter and more intuitive user experience. Before this approval, the model had undergone extensive iterative testing within Changan, proving its strong adaptability and logical reasoning in numerous real-world scenarios.
Securing national-level filing means that Changan’s self-developed large model has cleared all regulatory hurdles and is now legally authorized to provide intelligent services to the public. For the company, this achievement not only reinforces its full-stack self-research expertise but also directly accelerates the large-scale rollout of intelligent products into the market.
With compliance now in place, the Tianshu Large Model will act as the central brain, comprehensively powering Changan's upcoming lineup of intelligent offerings and driving deeper integration between cloud computing power and on-device interaction experiences. As competition in the industry intensifies, Changan has gained an early edge by completing the filing process, securing a strategic advantage in algorithm safety and application compliance. This also positions the company to compete more effectively in intelligent driving and in-vehicle interaction experiences.
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Changan Automobile has announced that its independently developed "Tianshu Large Model" — built entirely from the stack by the company’s own team — has officially passed the review process and received filing approval from the National Cyberspace Administration for generative artificial intelligence services. This milestone makes Changan the first automaker in Chongqing and one of the few in China to hold this national-level certification, marking a new phase where its in-house AI technology is now fully licensed for commercial deployment.
Designed from the ground up to handle the complex demands of in-vehicle environments, the Tianshu Large Model serves as the core foundation for Changan's deep push into intelligent systems. It integrates voice, text, and visual data with multi-modal processing capabilities, delivering a smarter and more intuitive user experience. Before this approval, the model had undergone extensive iterative testing within Changan, proving its strong adaptability and logical reasoning in numerous real-world scenarios.
Securing national-level filing means that Changan’s self-developed large model has cleared all regulatory hurdles and is now legally authorized to provide intelligent services to the public. For the company, this achievement not only reinforces its full-stack self-research expertise but also directly accelerates the large-scale rollout of intelligent products into the market.
With compliance now in place, the Tianshu Large Model will act as the central brain, comprehensively powering Changan's upcoming lineup of intelligent offerings and driving deeper integration between cloud computing power and on-device interaction experiences. As competition in the industry intensifies, Changan has gained an early edge by completing the filing process, securing a strategic advantage in algorithm safety and application compliance. This also positions the company to compete more effectively in intelligent driving and in-vehicle interaction experiences.
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