KT Corp Unveils Mi:dm, Large Language Model for Next-Gen AI Services, South Korea

Date:

South Korean telecommunications company KT Corp. has introduced its new large language model (LLM) called Mi:dm, as part of its venture into the thriving artificial intelligence (AI) market. Mi:dm aims to cater to corporate clients by enabling them to build their own next-generation AI services.

Choi Joon-ki, the head of the AI and big data business unit at KT, highlighted the importance of feedback from enterprise customers in shaping the development and trajectory of Mi:dm. The name Mi:dm is derived from the Korean word mideum, meaning belief.

Mi:dm offers four different service plans with varying computational capacities, ranging from under 10 billion to over 200 billion parameters. These plans allow companies to develop AI-based products, especially generative services like ChatGPT.

The key feature of Mi:dm is its reliable package, which combines Document AI, Search AI, and FactGuard AI to enhance the model’s efficiency and accuracy. FactGuard AI, in particular, aims to minimize the generation of false information, known as hallucination, by utilizing fine-tuned data from expert domains. KT claims that this technology can reduce hallucination by up to 70% compared to a Mi:dm model without it.

In addition to the models, KT has developed Mi:dm Studiov, a user-friendly interface for enterprises to evaluate various Mi:dm services.

KT aims to offer its AI solutions to corporate clients at prices 20 to 30 percent lower than its domestic competitors. Leveraging its existing customer base of 650,000 companies through KT Cloud, the company believes it has a competitive advantage in providing tailored LLM-based services.

During the announcement, KT also discussed its partnerships with domain-specific startups like Upstage and educational AI applications such as Qanda. Qanda, in particular, is focused on addressing challenges in creating a reliable AI math tutor by overcoming latency, costs, and accuracy issues.

See also  Microsoft Unveils Windows 11: A Leap into the Future of Operating Systems

KT and Qanda plan to collaborate by specializing the model in the Korean language and high school mathematics. This collaboration aims to leverage Qanda’s educational data and finely-tuned algorithms to develop an AI tutor capable of understanding individual students’ learning patterns.

Bae Soon-min, senior vice president at KT and head of the AI2XL research lab, highlighted real-life applications and potential uses for Mi:dm. For example, small businesses in areas like interior decoration can utilize the basic model to summarize client calls through a customized AI model. Gaming companies can adopt the standard model and train it further to create unique non-player characters. Local governments can utilize the efficient premium model to assist citizens in navigating a wide range of welfare benefits.

Regarding funding, Choi mentioned that while the initial investment in GPU farms is substantial, the company anticipates reaching a break-even point within approximately three years, drawing from the experiences of implementing large-scale IT system services in other Korean enterprises.

On an international scale, KT recently partnered with Thailand’s Jasmine Group to develop a Thai-based large language model. This move aligns with the company’s strategy to create AI solutions tailored for languages currently underrepresented in existing large language models.

According to Bae, Mi:dm has been designed to be versatile and scalable, catering to a wide range of businesses and their specific AI needs. The company aims to provide solutions for both small businesses requiring basic AI support and large corporations in need of high-performance models.

As KT Corp. makes its foray into the AI market with the launch of Mi:dm, it seeks to leverage its expertise, partnerships, and competitive pricing to establish a strong presence in the corporate AI services sector.

See also  AI Expert: Technology is Still in Early Phase, Comparable to iPhone 2G, 3G

Frequently Asked Questions (FAQs) Related to the Above News

What is Mi:dm?

Mi:dm is a large language model (LLM) developed by South Korean telecommunications company KT Corp. It is designed to enable corporate clients to build their own next-generation AI services.

What are the service plans offered by Mi:dm?

Mi:dm offers four different service plans with varying computational capacities, ranging from under 10 billion to over 200 billion parameters. These plans allow companies to develop AI-based products, especially generative services like ChatGPT.

What is the key feature of Mi:dm?

The key feature of Mi:dm is its reliable package, which combines Document AI, Search AI, and FactGuard AI to enhance the model's efficiency and accuracy. FactGuard AI aims to minimize the generation of false information, known as hallucination, by using fine-tuned data from expert domains.

How does FactGuard AI reduce hallucination in Mi:dm?

FactGuard AI utilizes fine-tuned data from expert domains to reduce hallucination in Mi:dm. It has been claimed by KT that this technology can reduce hallucination by up to 70% compared to a Mi:dm model without it.

What is Mi:dm Studiov?

Mi:dm Studiov is a user-friendly interface developed by KT for enterprises to evaluate various Mi:dm services. It is designed to simplify the process of utilizing Mi:dm for corporate clients.

How does KT aim to offer competitive pricing for its AI solutions?

KT aims to offer its AI solutions to corporate clients at prices 20 to 30 percent lower than its domestic competitors. The company believes it has a competitive advantage in providing tailored LLM-based services by leveraging its existing customer base of 650,000 companies through KT Cloud.

What partnerships has KT entered into for Mi:dm?

KT has partnered with domain-specific startups like Upstage and educational AI applications such as Qanda. These partnerships aim to develop specific applications of Mi:dm, such as creating a reliable AI math tutor.

What are the real-life applications of Mi:dm?

Mi:dm has various real-life applications. For example, small businesses can use it to summarize client calls, gaming companies can train it to create unique non-player characters, and local governments can utilize it to assist citizens in navigating welfare benefits.

How does KT plan to reach a break-even point with Mi:dm?

While the initial investment in GPU farms is substantial, KT anticipates reaching a break-even point within approximately three years. The company draws from its experiences in implementing large-scale IT system services in other Korean enterprises.

Are there any international partnerships for Mi:dm?

Yes, KT recently partnered with Thailand's Jasmine Group to develop a Thai-based large language model. This aligns with the company's strategy to create AI solutions tailored for languages currently underrepresented in existing large language models.

What types of businesses can benefit from Mi:dm?

Mi:dm has been designed to be versatile and scalable, catering to a wide range of businesses and their specific AI needs. It provides solutions for both small businesses requiring basic AI support and large corporations in need of high-performance models.

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.

Share post:

Subscribe

Popular

More like this
Related

Global Edge Data Centers Market to Reach $46.4 Billion by 2030

Global edge data centers market set to hit $46.4 billion by 2030. Asia-Pacific leads growth with focus on IoT, cloud, and real-time analytics.

Baidu Inc Faces Profit Decline, Boosts Revenue with AI Advertising Sales

Baidu Inc faces profit decline but boosts revenue with AI advertising sales. Find out more about the company's challenges and successes here.

Alexander & Baldwin Holdings Tops FFO Estimates, What’s Next for the REIT?

Alexander & Baldwin Holdings surpasses FFO estimates, investors await future outlook in the REIT industry. Watch for potential growth.

Salesforce Stock Dips Despite New Dividend & Buyback

Despite introducing a new dividend & buyback, Salesforce's stock dipped after strong quarterly results. Investors cautious about future guidance.