Mitsubishi develops edge language model for manufacturing
Mitsubishi Electric Corporation has developed a language model specifically designed for manufacturing processes that operate on edge devices.
The Maisart®-branded AI technology has been pre-trained with data from Mitsubishi Electric’s internal operations, enabling it to support a wide range of applications in specific manufacturing domains. In addition, the language model leverages a uniquely developed data-augmentation technique to generate responses optimised for user-specific applications.
As the adoption of generative AI accelerates, the use of large language models (LLMs) is also increasing. However, the significant computational and energy costs associated with LLMs are a growing concern. Additionally, there is increasing demand for generative AI that can operate in on-premises environments due to data privacy and confidential information management requirements. Emerging use cases for manufacturing include improving production efficiency through analysis of real-time data from manufacturing operations, conversational gateways between humans and machines, knowledge repositories for technicians and maintenance staff, quality control, predictive maintenance, as well as supply chain and inventory management.
In response, Mitsubishi Electric has developed a domain-specific language model by training a publicly available Japanese base model with the company’s proprietary data from its own business domains, including factory automation (FA). Using training data generated through the company’s original augmentation techniques enabled effective, task-specific fine-tuning. The resulting model is compact enough to run on limited hardware resources, making it suitable for environments with constrained computing capabilities, such as edge devices, as well as for on-premises operations such as call centres that handle sensitive customer information.
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