DTGO Corporation Limited has partnered with SenseTime, a leading AI software company headquartered in Hong Kong, to develop DTLM (DTGO Large Language Model). DTLM is a large language model (LLM) that leverages AI development expertise and ownership of DTGO and SenseTime's big data for proficiency in three languages: Thai, Chinese, and English. The model is designed to efficiently meet multilingual requirements across these three languages, offering high-performance capabilities in each while understanding the local Thai language and culture.

Through the collaboration with SenseTime, DTLM is an LLM that is built upon the company's leading SenseNova Large Model Series. At the 2024 World Artificial Intelligence Conference (WAIC) in Shanghai last week, SenseTime unveiled its upgraded SenseNova 5.5 Large Model. Leveraging SenseNova 5.5's significantly enhanced language capabilities, extensive knowledge database, and high information density, DTLM is able to engage in natural and responsive real-time conversations.

DTLM is the world's first model to work efficiently in these three languages. Developed using machine learning technology that doesn't rely solely on translation, DTLM provides an authentically local generative AI experience, including reading texts, asking questions, and responding naturally and quickly in real-time. By empowering Thai customers with this innovative AI solution, DTLM aims to drive growth across various sectors and further enrich Thailand's AI ecosystem, opening new opportunities and possibilities.

DTLM will initially focus on corporate clients, offering them cost-effective usage, helping control expenses efficiently, and incorporating a digital trust system for clients who require a highly dependable model. DTLM can be applied in various ways, especially in vertical industries where internal organizational data can be used in conjunction with LLM to effectively answer questions about internal knowledge. It can also be used to develop services and external applications, such as in university libraries.