Summary:

Automotive voice technology developer Cerence has introduced a new large language model (LLM) called Cerence Automotive Large Language Model (CaLLM) in collaboration with Nvidia. CaLLM is designed to accelerate the deployment of generative AI-powered features in both existing embedded systems and new vehicles. It utilizes Cerence’s automotive dataset and Nvidia’s AI foundry service to create customized in-car user experiences for drivers. The model can be tailored to specific automotive functions, features, and requirements, making it highly adaptable and customizable for automakers.

Introduction:

Cerence, a leading automotive voice technology developer, has partnered with Nvidia to launch a new large language model (LLM) called Cerence Automotive Large Language Model (CaLLM). This collaboration aims to facilitate the integration of generative AI-powered features in cars. CaLLM utilizes Cerence’s automotive dataset and Nvidia’s AI foundry service to create personalized in-car user experiences. It can be customized for different automotive functions and features, allowing automakers to tailor it to their specific requirements.

Main Points:

1. Cerence CaLLM leverages Nvidia’s LLM technology through its Drive platform to accelerate the deployment of generative AI-powered features in both existing embedded systems and new vehicles.
2. CaLLM uses Cerence’s multi-billion token automotive dataset to create tailored in-car user experiences beyond the general knowledge type of LLMs.
3. The model is highly adaptable to automotive functions, features, and requirements, and can be customized for automakers through training, fine-tuning, and the creation of bespoke applications.
4. Cerence aims to deliver a breakthrough in-car computing platform that allows users to complete tasks across applications through a unified conversational interface. The company believes that its proprietary architecture can benefit industry leaders beyond the automotive sector as well.

Conclusion:

Cerence and Nvidia have introduced the Cerence Automotive Large Language Model (CaLLM) as a solution to accelerate the deployment of generative AI-powered features in cars. CaLLM is highly adaptable and customizable, allowing automakers to tailor it to their specific requirements. With the integration of Nvidia’s AI frameworks and platforms, Cerence aims to provide a breakthrough in-car computing platform that offers a unified conversational interface for users. This collaboration represents a significant step forward in enhancing in-car user experiences and enabling safer, smarter, and more enjoyable rides.