Machine Translation (MT) has come a long way in the era of Large Language Models (LLMs). Scores on translation benchmarks continue to rise and we are starting to see improvements even in the lower-resourced languages of our Southeast Asian (SEA) region. Despite this encouraging trend, we still observe specific issues, both in our own evaluations…
When you speak to an AI agent instead of typing, how much intelligence is actually lost along the way? While Large Language Models (LLMs) continue to post impressive scores on text benchmarks, real-world deployment is increasingly shifting towards voice. No matter how speech reaches the model, the task it solves is the one it heard,…
On 15 October 2026, AI Singapore and Google co-hosted the 6th ATLAS Language Summit at Google Singapore. It brought together 189 participants: 107 in the room and 82 online, from 70 organisations in 24 countries across Southeast Asia, Asia, Africa and beyond – more than doubling the representation from our previous Language Summit in 2025….
AI Singapore is thrilled to announce the Nemotron-SEA-LION-v4.8 suite of models, developed in deep technical collaboration with NVIDIA. By combining NVIDIA NeMo Megatron Bridge and NVIDIA NeMo AutoModel training frameworks with AI Singapore’s extensive regional data expertise, the partnership has produced open-weights models built specifically for Southeast Asia’s diverse linguistic landscape. Built on the NVIDIA…
We are thrilled to announce the launch of Gemma-SEA-LION-v4-27B-VL, a cutting-edge, instruction-tuned vision-text model designed specifically for the unique and diverse landscape of Southeast Asia. This release is the result of a powerful collaboration between the Products Pillar at AI Singapore and SEACrowd, with funding from the Singapore National Research Foundation (NRF). A Multimodal Model…