LG AI Research is the artificial intelligence research division of LG Group, established in December 2020. It focuses on advancing Artificial intelligence technologies, including Machine learning, Deep learning, and Generative AI, with a particular emphasis on developing large language models and AI-driven solutions for various industries. The organization is headquartered in Seoul, South Korea, and operates as a key component of LG's broader innovation strategy.
The division was created to consolidate LG's AI research efforts and to position the company as a leader in AI, particularly in areas such as natural language processing, computer vision, and multimodal AI. LG AI Research has since become known for its Exaone series of large language models, which are designed for both general and specialized applications, including scientific research and enterprise use.
Exaone and Large Language Models
LG AI Research developed the Exaone family of large language models. The first version, Exaone, was released in 2021, and subsequent versions, such as Exaone 2.0 and Exaone 3.0, have been launched in 2023 and 2024, respectively. These models are built on the Transformer (architecture) architecture, which is the foundation of many modern AI systems, including those from OpenAI and Google DeepMind. Exaone models are trained on extensive datasets and are designed to handle tasks such as text generation, question answering, and code synthesis.
In 2024, LG AI Research released Exaone 3.0, which is an open-source model with 7.8 billion parameters. This release was notable for its focus on Korean and English language support, as well as its efficiency in deployment. The model has been made available for research and commercial use, reflecting LG's commitment to contributing to the global AI community.
Research Areas and Applications
LG AI Research conducts research across a wide range of AI domains, including neural networks, reinforcement learning (though not explicitly listed, it is a common area), and multimodal learning. The division also explores applications in healthcare, manufacturing, and customer service. For example, LG AI Research has collaborated with Samsung Electronics and other companies on joint AI projects, although specific details are limited.
One notable application is the use of AI in drug discovery and materials science. LG AI Research has developed models that can predict molecular properties and assist in the design of new materials, which could accelerate innovation in pharmaceuticals and chemistry.
Collaborations and Partnerships
LG AI Research collaborates with academic institutions and industry partners. It has established partnerships with universities such as Stanford AI Lab and Carnegie Mellon University to advance AI research. Additionally, the division works with cloud providers like Amazon Web Services and microsoft-azure to deploy its models at scale, although specific agreements are not publicly detailed.
The organization also participates in global AI conferences and contributes to open-source projects, sharing its research findings with the broader scientific community.
Leadership and Vision
The division is led by CEO Kyung-Hyun Cho, who has a background in AI research and has been instrumental in shaping LG's AI strategy. Under his leadership, LG AI Research aims to develop AI that is not only powerful but also ethical and responsible. The organization emphasizes the importance of transparency and fairness in AI systems, aligning with broader industry trends.
LG AI Research's vision is to create AI that can solve complex real-world problems, from climate change to personalized education. By leveraging its research capabilities and LG's industrial expertise, the division seeks to integrate AI into everyday products and services, enhancing user experiences and driving business growth.
Future Directions
Looking ahead, LG AI Research plans to expand its Exaone model family, with a focus on improving efficiency and multilingual capabilities. The division is also exploring the integration of AI with edge computing and IoT devices, which could enable real-time intelligence in smart homes and factories.
As of 2025, LG AI Research continues to publish research and release new models, positioning itself as a significant player in the global AI landscape. Its contributions to open-source AI and its commitment to responsible AI development are likely to shape its future trajectory.