Great Wall Motor, iFLYTEK to co-build AI large model for automotive industry

Beijing (Gasgoo)- On October 24, Chinese automaker Great Wall Motor (GWM) and intelligent speech solution developer iFLYTEK signed a strategic cooperation agreement regarding the AI-powered automotive industrial large model and knowledge brain.

Signing ceremony; photo credit: GWM

iFLYTEK, being an important partner for GWM, on October 24 unveiled the iFLYTEK Spark V3.0 cognitive large model at its developer conference, actively exploring and implementing the application scenarios of large models in the automotive field. 

According to the newly signed strategic cooperation agreement, GWM and iFLYTEK will deepen their collaboration in AI large models, enterprise services, knowledge platforms, and digital applications, to assist GWM in constructing the automotive industry's first knowledge model—the GWM Knowledge Brain.

The GWM Knowledge Brain is an AI large model system based on GWM's corporate knowledge. It leverages a wealth of GWM knowledge to train enterprise-level large models, assisting business personnel in decision-making, aiding design and programming work for R&D engineers. It creates a comprehensive closed-loop system encompassing knowledge production, governance, learning, and application. The large model continuously self-learns and self-improves while adapting to specific domains, enhancing its performance and scope. By establishing an exclusive enterprise knowledge repository with reliable data and knowledge, it enhances the accuracy of large model outputs.

This partnership signifies the deepening of the strategic cooperation between Great Wall Motor and iFLYTEK. Together, they aim to build an AI large model industrial application, contribute to the development and application of GWM's knowledge repository, and establish an AI large model foundation with self-evolution capabilities. This effort will foster digital productivity and intelligent service capabilities for Great Wall Motor as it progresses toward comprehensive digitization and intelligence.