Cerence Pioneers Automotive-Specific LLM in Collaboration with NVIDIA, Powering the Future of In-Car Experiences
- Cerence's CaLLM™ leverages the company's extensive automotive dataset and tech stack to deliver integrated in-car user experiences beyond those of general knowledge LLMs.
- The platform accelerates time to market by enabling new user experiences to be deployed via a cloud integration with both existing embedded systems and new generative AI-powered domains, giving OEMs an advantage in meeting driver demands for increasingly intelligent features inside the car.
- Cerence's new in-car computing platform provides a seamless and intuitive conversational interface, combining all aspects of a user's interaction into a unified experience.
- Cerence's new platform will need to prove its effectiveness and user adoption in the market, especially with leading global automakers, as it is currently in the proof of concept stage.
- There is no specific data provided regarding the financial impact or potential revenue generation from the introduction of CaLLM™ and the new in-car computing platform.
Insights
The development of Cerence's CaLLM™, an automotive-specific large language model, signifies a major step in the evolution of in-car user experiences. Leveraging NVIDIA's advanced AI technology, this platform is poised to address the increasing demand for intelligent in-car features. From an AI perspective, the integration of domain-specific datasets and the customization capabilities for automakers highlight the potential for a more personalized and efficient driving experience.
Furthermore, the use of NVIDIA's AI Enterprise and accelerated computing infrastructure suggests significant improvements in the model's performance, potentially reducing latency and enhancing the user experience. This could lead to improved safety and convenience, as well as open new revenue streams for Cerence through the deployment of advanced in-car services.
In layman's terms, Cerence is creating a 'smart assistant' for cars that understands car-specific language and tasks much better than general voice assistants. This could make driving safer and more enjoyable and could become a selling point for car manufacturers that adopt this technology.
Cerence's announcement of CaLLM™ and its collaboration with NVIDIA marks a significant shift in automotive technology, potentially influencing OEM strategies and consumer preferences. The ability to integrate with both existing and new systems may accelerate OEMs' time to market for new features, providing a competitive edge in the rapidly evolving automotive industry.
As an industry analyst, the emphasis on user personalization and built-in information retrieval capabilities suggests that CaLLM™ could raise the bar for in-vehicle digital assistants. This initiative could reshape consumer expectations and set new industry standards, with implications for OEM product development and marketing strategies.
From a business standpoint, the successful deployment of CaLLM™ could enhance Cerence's market position and create new partnership opportunities. It's important for investors to monitor the adoption rate of CaLLM™ by OEMs and the subsequent consumer response to gauge the long-term impact on Cerence's financial performance.
The strategic partnership between Cerence and NVIDIA to develop CaLLM™ represents a potential growth catalyst for both companies. By leveraging NVIDIA's AI expertise and Cerence's automotive market penetration, they aim to create a differentiated product in a high-growth area. The focus on reducing cognitive load for drivers through a unified conversational interface could lead to increased demand for Cerence's platform.
From an investment perspective, the ability of CaLLM™ to integrate with cloud systems and its scalable nature may offer long-term cost efficiencies for Cerence. This could translate to improved margins and profitability. Additionally, the potential expansion of this technology to industries beyond automotive suggests avenues for diversification and revenue growth.
Investors should consider the implications of Cerence's technology on the automotive sector's competitive dynamics and the potential for Cerence to capture market share. The proof of concept with leading automakers and the planned demonstration at CES 2024 are key milestones to watch for assessing market reception and technological viability.
Cerence has created an LLM-based platform leveraging its extensive automotive dataset and tech stack to deliver enhanced experiences for end users
BURLINGTON, Mass., Dec. 19, 2023 (GLOBE NEWSWIRE) -- Cerence Inc. (NASDAQ: CRNC), AI for a world in motion, today introduced a pioneering, automotive-specific large language model, CaLLM™, powered by NVIDIA technology. CaLLM™ (Cerence Automotive Large Language Model) serves as the foundation for Cerence’s next-generation in-car computing platform, running on the NVIDIA DRIVE platform. Cerence is working with NVIDIA to solve several key automaker challenges: accelerating time to market by enabling new user experiences to be deployed via a cloud integration with both existing embedded systems and new generative AI-powered domains, giving OEMs an advantage as drivers demand increasingly intelligent features and capabilities inside the car.
As automakers and mobility OEMs look to leverage generative AI and LLMs to improve the user experience, CaLLM™ meets several critical needs. It has a unique level of automotive-specific intelligence, leveraging Cerence’s extensive automotive expertise and fine-tuned, growing automotive dataset encompassing billions of tokens to deliver integrated in-car user experiences beyond those of general knowledge LLMs. CaLLM™ is distinctly able to support automotive functions, features, and requirements and is deeply customizable for automakers through training, fine-tuning, and bespoke applications. Its features include user personalization as well as built-in information retrieval for Cerence’s generative AI-powered applications like Cerence Car Knowledge.
Cerence is building CaLLM™ with the NVIDIA AI foundry service, which includes NVIDIA AI Foundation Models, NVIDIA AI Enterprise software, and NVIDIA accelerated computing. Cerence will first train CaLLM™ on its extensive dataset leveraging NVIDIA DGX Cloud and NVIDIA DGX systems and then develop the capabilities required for in-car user experiences. Second, to help achieve an ultrafast user experience, Cerence will deploy CaLLM™ in an NVIDIA-accelerated infrastructure with NVIDIA AI Enterprise, an end-to-end, cloud-native, secure software platform that accelerates training, fine-tuning, and inferencing of LLMs with the NVIDIA NeMo framework and the NVIDIA TensorRT-LLM optimization library.
“We are delivering a breakthrough in-car computing platform that leverages our vertical tech stack to allow users to complete tasks across applications through a unified conversational interface,” said Iqbal Arshad, Chief Technology Officer, Cerence. “When paired with NVIDIA’s industry-leading AI frameworks and platforms, our exclusive dataset, deep relationships with automakers, and extensive market penetration put us in the ideal position to lead with our pioneering automotive-specific LLM, CaLLM™, and our own in-car computing platform. As we look to the future, we see this proprietary architecture also benefiting industry leaders outside of automotive.”
“Generative AI and automotive LLMs are expected to enable new, intuitive, and personalized user experiences, capabilities, and features both inside and outside the car,” said Ali Kani, Vice President of Automotive, NVIDIA. “By tapping NVIDIA’s core expertise in cloud and edge technologies, Cerence can more quickly train, scale, and deploy these models within their in-car user-experience platform to enable safer, smarter, and more enjoyable rides.”
CaLLM™ serves a critical role in building the cars of the future, serving as the foundation for Cerence’s new in-car computing platform. This platform is the future of in-car interaction, an automotive- and mobility-specific assistant that provides an integrated in-cabin experience. While previous solutions required multi-step interactions to take place as distinct, separate steps – resulting in too many manual interactions and a high cognitive load for the driver – Cerence’s new platform combines all aspects of a user’s interaction into a seamless and intuitive conversational interface. Cerence’s new platform will enable smooth transitions for OEMs by reimagining their existing applications within the conversational interface while offering new generative AI-powered services.
CaLLM™ and Cerence’s new platform are already in proof of concept with leading global automakers and will be demonstrated at CES 2024 in Cerence’s booth, 6627, in the West Hall. To book an appointment, reach out to ces.booking@cerence.com. To learn more about Cerence, visit www.cerence.com, and follow the company on LinkedIn and Twitter.
About Cerence Inc.
Cerence (NASDAQ: CRNC) is the global industry leader in creating unique, moving experiences for the mobility world. As an innovation partner to the world’s leading automakers and mobility OEMs, it is helping advance the future of connected mobility through intuitive, AI-powered interaction between humans and their vehicles, connecting consumers’ digital lives to their daily journeys no matter where they are. Cerence’s track record is built on more than 20 years of knowledge and 475 million cars shipped with Cerence technology. Whether it’s connected cars, autonomous driving, e-vehicles, or two-wheelers, Cerence is mapping the road ahead. For more information, visit www.cerence.com.
Kate Hickman | Tel: 339-215-4583 | Email: kate.hickman@cerence.com
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