Singapore To Build Multimodal Large Language Model For South East Asia

Share via:

When countries are working towards building their regional LLMs, one more joins the race from the south-east side. Singapore’s Infocomm Media Development Authority (IMDA), alongside AI Singapore and the Agency for Science, Technology, and Research, has unveiled the National Multimodal LLM Program (NMLP), an AI initiative with a budget of S$70 million ($52.3 million). The program, funded by Singapore’s National Research Foundation, is set to enhance the nation’s research and engineering capabilities in multi-modal large language (LLM) models. 

The NMLP aims to develop a base model with regional context. This model will not only cater to Singapore’s unique linguistic characteristics but also address the diverse culture and languages prevalent in the Southeast Asian region.

The initiative is a part of Singapore’s Research, Innovation, and Enterprise 2025 plan and will also support Singapore’s national AI strategy 2.0. The overarching goal of this initiative is to cultivate a more inclusive and regionally relevant AI landscape. This move is a first-of-its kind in South East Asia, which will help strengthen Singapore’s position in the AI research space. 

Singapore is not starting from scratch to create the first Large Language Model (LLM) in the region. Instead, it will build upon the existing work of AI Singapore’s Sea-Lion model (Southeast Asian Languages In One Network), an open-source LLM that reflects the cultural nuances of Southeast Asia.

Sea-Lion is designed to be smaller, more flexible, and faster than commonly used LLMs. It also provides a cost-effective and efficient option for organizations with budget constraints and throughput limitations looking to incorporate AI into their workflows.

Demographic-Specific Models

The recent growth of regional language models has been on the rise. UAE has been on the forefront with Core 42’s Arabic language model Jais 13B and 30B. China has also followed a similar route with DeepSeek, a bilingual LLM (67 billion parameter model) which was released recently and is available in both English and Chinese.

The post Singapore To Build Multimodal Large Language Model For South East Asia appeared first on Analytics India Magazine.

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

Popular

More Like this

Singapore To Build Multimodal Large Language Model For South East Asia

When countries are working towards building their regional LLMs, one more joins the race from the south-east side. Singapore’s Infocomm Media Development Authority (IMDA), alongside AI Singapore and the Agency for Science, Technology, and Research, has unveiled the National Multimodal LLM Program (NMLP), an AI initiative with a budget of S$70 million ($52.3 million). The program, funded by Singapore’s National Research Foundation, is set to enhance the nation’s research and engineering capabilities in multi-modal large language (LLM) models. 

The NMLP aims to develop a base model with regional context. This model will not only cater to Singapore’s unique linguistic characteristics but also address the diverse culture and languages prevalent in the Southeast Asian region.

The initiative is a part of Singapore’s Research, Innovation, and Enterprise 2025 plan and will also support Singapore’s national AI strategy 2.0. The overarching goal of this initiative is to cultivate a more inclusive and regionally relevant AI landscape. This move is a first-of-its kind in South East Asia, which will help strengthen Singapore’s position in the AI research space. 

Singapore is not starting from scratch to create the first Large Language Model (LLM) in the region. Instead, it will build upon the existing work of AI Singapore’s Sea-Lion model (Southeast Asian Languages In One Network), an open-source LLM that reflects the cultural nuances of Southeast Asia.

Sea-Lion is designed to be smaller, more flexible, and faster than commonly used LLMs. It also provides a cost-effective and efficient option for organizations with budget constraints and throughput limitations looking to incorporate AI into their workflows.

Demographic-Specific Models

The recent growth of regional language models has been on the rise. UAE has been on the forefront with Core 42’s Arabic language model Jais 13B and 30B. China has also followed a similar route with DeepSeek, a bilingual LLM (67 billion parameter model) which was released recently and is available in both English and Chinese.

The post Singapore To Build Multimodal Large Language Model For South East Asia appeared first on Analytics India Magazine.

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

Website Upgradation is going on for any glitch kindly connect at office@startupnews.fyi

More like this

FInd your lost wallet with your iPhone using SwitchBot...

I have an AirTag on my keychain to...

M4 MacBook Pro teardown reveals nearly identical internals to...

While the new M4 MacBook Pros got a...

Apple @ Work: Understanding Apple’s Private Wi-Fi Address feature

Apple @ Work is exclusively brought to you...

Popular

Upcoming Events

Startup Information that matters. Get in your inbox Daily!