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…
Advancing AI Safety with Action Governance, Multi-Turn Evaluation, and Custom Policy Enforcement – Jev-style Prediction, Powered by Gemma4 Models As AI agents transition from simple conversational chatbots into autonomous tools operating in complex, multi-turn environments, safety guardrails must evolve alongside them. Traditional moderation models—designed primarily for single-turn safety classification—frequently fail when confronted with subtle regional…
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…
Fluent Isn’t the Same as Understood How GoTo taught AI to think in Indonesian, not just speak it, building upon AI Singapore’s SEA-LION embedding models AI Singapore × GoTo Group Basic language capability can handle grammar just fine, but true linguistic fluency is what gets the meaning right, and not all AI models can make…