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Artificial Intelligence company Cerence unveils xUI and LLM for automotive AI assistants at NVIDIA's GTC conference.

Car manufacturers step up their efforts to incorporate artificial intelligence in vehicles, with Cerence Inc., a notable AI solutions provider, unveiling Cerence xUI. This innovative platform serves to empower in-car voice assistants with the cutting-edge capabilities of large language models...

AI Technology from Cerence, referred to as xUI, being utilized for AI-powered automotive assistants...
AI Technology from Cerence, referred to as xUI, being utilized for AI-powered automotive assistants at NVIDIA's Game Developer Conference

Artificial Intelligence company Cerence unveils xUI and LLM for automotive AI assistants at NVIDIA's GTC conference.

In early 2025, Cerence Inc. unveiled Cerence xUI, a groundbreaking AI-powered platform designed for in-car voice assistants. This new innovation is set to redefine the in-car experience by leveraging advanced large language models (LLMs) and hybrid AI technologies.

The key features of Cerence xUI include a hybrid AI/LLM integration, agentic interaction, customization and personalization, enhanced natural language understanding, multi-modal user experience, improved driver convenience and safety, and conversational continuity.

By combining the power of large language models with traditional automotive AI systems, Cerence xUI creates more sophisticated, conversational in-car experiences. This hybrid approach allows the platform to support fully agentic interactions, meaning it can autonomously understand, interpret, and respond to complex driver commands with natural dialogue flow.

Being AI-driven, Cerence xUI is likely designed to adapt to different user preferences, contexts, and driving scenarios, enhancing user engagement and convenience. The platform's enhanced natural language understanding improves the accuracy and naturalness of voice interactions, likely reducing driver distraction and increasing safety.

Industry trends suggest that such platforms support integration with visual and tactile elements, enriching the overall user interface inside vehicles. Although not explicitly detailed in the results, Cerence xUI is likely to offer similar features.

Cerence xUI also offers an industry-specific AI platform optimized for automotive applications. It utilizes open-source foundation models like Meta's Llama and Microsoft's Phi, fine-tuning them for automotive applications to optimize response times. These models integrate real-time data sources, contextual awareness, and multimodal interaction for a fluid and intuitive voice assistant experience.

The platform incorporates Cerence's proprietary CaLLM family of models, fine-tuned for the automotive environment. It also leverages NVIDIA's AI Enterprise software suite and Microsoft's cloud solutions.

Cerence xUI is built with robust safeguards against misinformation and unwanted interactions, ensuring a reliable and trustworthy user experience. The hybrid architecture of Cerence xUI ensures AI-powered features remain accessible even without an internet connection.

The introduction of Cerence xUI marks a significant step toward embedding sophisticated AI directly into vehicles. Platforms like Cerence xUI may soon become as integral to vehicles as the steering wheel itself, as AI continues to transform the automotive landscape.

Executives from Cerence, NVIDIA, JLR, and Renault will discuss the evolving role of AI in vehicle technology at the NVIDIA GTC conference on March 20. For a more comprehensive understanding of Cerence xUI’s capabilities, official product documentation or announcements from Cerence would be the best sources.

The Cerence xUI platform, designed for automotive industry, integrates advanced technology such as artificial-intelligence, infotainment systems, and technology, offering an industry-specific AI solution. By combining large language models with traditional AI systems, it creates more sophisticated, conversational in-car experiences with improved natural language understanding and reduced driver distraction. Moreover, the platform aims to provide a multi-modal user experience, supporting integration with visual and tactile elements for an enriched user interface within transportation.

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