Hon Hai Research Institute Introduces Trailblazing Traditional Chinese LLM with Enhanced Reasoning Skills

Introduction

On March 10, 2025, Hon Hai Research Institute marked a significant milestone in the evolution of Taiwan's artificial intelligence landscape by launching the first Large Language Model (LLM) dedicated to Traditional Chinese, aptly named FoxBrain. This groundbreaking model signifies a notable advancement in AI technology, particularly in the ability to perform advanced reasoning tasks. It showcases the potential of local AI solutions, responding to the unique linguistic needs of Taiwanese users while reinforcing Taiwan's position in the global AI arena.

Development of FoxBrain

Backed by the Hon Hai Technology Group, commonly known as Foxconn, FoxBrain was developed over a rapid four-week period utilizing a unique approach to model training. Emphasizing efficiency, the development team implemented a combination of proprietary training techniques and powerful computing resources to produce a model capable of complex tasks such as data analysis, decision support, and even code generation.

Dr. Yung-Hui Li, the Director of the Artificial Intelligence Research Center at Hon Hai, highlighted the model's training method, stating that the focus was on optimizing the training process rather than simply increasing computational power. This resulted in the successful creation of a local AI model that demonstrates impressive reasoning capabilities.

Technical Specifications

FoxBrain is based on the Meta Llama 3.1 architecture, consisting of a staggering 70 billion parameters. It is engineered to excel in various categories, significantly outdoing its counterparts, especially in mathematical and logical reasoning tasks. Among these competitors, FoxBrain's performance in mathematical assessments has set it apart, proving highly effective in areas traditionally dominated by other models such as Taiwan’s Llama and others released globally, showcasing NVIDIA's H100 GPUs' robust capabilities utilized during its training.

Moreover, FoxBrain's training employed a unique Adaptive Reasoning Reflection technique that promotes autonomous reasoning. This, coupled with established data augmentation methods, helped generate 98 billion tokens of high-quality pre-training data specifically for Traditional Chinese. The inclusion of advanced computational strategies ensures high operational performance with stability throughout the model's activities.

Future Applications and Open Sourcing

While FoxBrain was initially tailored for internal applications at Foxconn, the institute is planning a wider release, maintaining an open-source philosophy that will allow for collaborative developments across various sectors, especially in manufacturing, supply chains, and intelligent decision-making. This potential expansion will lay the foundation for extensive applications of AI within these industries, leading to future technological enhancements.

Collaboration with NVIDIA

The success of the FoxBrain project was bolstered by a strong collaboration with NVIDIA, which provided valuable resources including the Taipei-1 Supercomputer and technical expertise necessary for completing the model's pre-training process. This partnership significantly enriched the development journey, ensuring that FoxBrain could stand out in a competitive environment.

Conclusion

FoxBrain signifies a noteworthy advancement in AI technology, showcasing Taiwan's ability to develop sophisticated AI models on par with international standards despite limited resources. Hon Hai Research Institute is poised to present these findings at the NVIDIA GTC 2025, scheduled for March 20, which will further underline the strides made in AI efficiency and efficacy. With FoxBrain, Taiwan's technological prowess is set to scale new heights in the global AI domain, reaffirming its competitive edge and innovative spirit.