KT Corp, one of South Korea’s major mobile carriers, has announced a strategic partnership with Thailand’s communication technology company, Jasmine Group, to develop a large language model (LLM) service based on the Thai language. The collaboration aims to create a Thai language-based LLM model and establish a marketing strategy for the Southeast Asian market. Additionally, both companies will work together to navigate the artificial intelligence (AI)-related regulations in the region.
The decision to join forces comes after KT and Jasmine Technology Solution, the ICT systems arm of Jasmine Group, signed a memorandum of understanding for the project last month. Through this partnership, KT will share its technology used for creating Mi:dm, its hyperscale AI service set to launch later this month. This technology will be utilized to develop the LLM model specifically for Thailand. Meanwhile, Jasmine Group will analyze the regional market and establish a dedicated graphics processing unit (GPU) farm to power the LLM.
The construction of the GPU farm is planned for the first half of next year, with the creation of the Thai LLM expected to commence in the second half. This collaboration aligns with the projected growth of the generative AI market in Southeast Asia. According to global research firm Statista, the market is estimated to reach $1.41 billion in 2023 and is forecasted to increase to $7.65 billion by 2030.
KT’s CEO, Kim Young-shub, expressed his optimism about the partnership, stating, We expect to contribute to strengthening Thailand’s competitiveness in the AI industry through cooperation with Jasmine Group and, furthermore, succeed in breaking ground in the Southeast Asian AI market.
This collaboration between KT and Jasmine Group represents a significant step towards advancing AI technology in Thailand and the wider Southeast Asian region. By working together, the two companies aim to leverage their expertise and resources to tap into the growing AI market and cement their positions as leaders in the industry.
Frequently Asked Questions (FAQs) Related to the Above News
What is the purpose of the strategic partnership between KT Corp and Jasmine Group?
The purpose of the partnership is to develop a large language model (LLM) service based on the Thai language and establish a marketing strategy for the Southeast Asian market. The collaboration also aims to navigate the artificial intelligence (AI)-related regulations in the region.
What technologies will be used to develop the LLM model specifically for Thailand?
KT Corp will utilize its technology used for creating Mi:dm, its hyperscale AI service, to develop the LLM model specifically for Thailand. Jasmine Group will establish a dedicated graphics processing unit (GPU) farm to power the LLM.
When will the construction of the GPU farm take place?
The construction of the GPU farm is planned for the first half of next year.
When is the creation of the Thai LLM expected to commence?
The creation of the Thai LLM is expected to commence in the second half of next year.
What is the projected growth of the generative AI market in Southeast Asia?
According to global research firm Statista, the generative AI market in Southeast Asia is estimated to reach $1.41 billion in 2023 and is forecasted to increase to $7.65 billion by 2030.
What is KT's CEO's perspective on the partnership?
KT's CEO, Kim Young-shub, expressed optimism about the partnership, stating that they expect to contribute to strengthening Thailand's competitiveness in the AI industry through cooperation with Jasmine Group and succeed in breaking ground in the Southeast Asian AI market.
What is the significance of this collaboration between KT and Jasmine Group?
This collaboration represents a significant step towards advancing AI technology in Thailand and the wider Southeast Asian region. By leveraging their expertise and resources, the two companies aim to tap into the growing AI market and establish themselves as leaders in the industry.
Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.
