On April 24, Tencent released a full-stack capability architecture for large models in the automotive industry. Last year, the company was fully committed to the transformation to large models. What breakthroughs have been made in the field of smart cars? Can it form a new growth point?

ThunderSoft: Hello. The company has released a series of large model-related products and applications. Among them, automobiles are the application scenarios with the strongest demand for large models and the fastest implementation. Based on the emergence generation ability, complex semantic understanding ability, multimodal recognition ability, reasoning memory ability and knowledge learning ability of large models, they can provide drivers and passengers with a smarter, more personalized and more efficient user experience. For example, by carrying a personalized VPA digital human and automotive professional knowledge base, supporting the customization of car machine themes and car model appearance, it can provide intelligent scene recommendations based on smooth natural language interaction, and improve the safety and stability of the system through the end-cloud collaborative model. Thank you for your attention!