Moreover, the Qwen team increased the amount of translation and cross-lingual training tasks during post-training. This helps the model handle everyday multilingual scenarios common across the region, including code-switching, informal chat, and mixed English-local language usage.
AI Singapore has launched a new large language model (LLM), Qwen-SEA-LION-v4, with support from Alibaba Cloud, to better support the linguistic, cultural and commercial needs of Southeast Asia. The model is designed to run even on a consumer laptop with 32GB of RAM, while delivering stronger multilingual accuracy and cultural contextual understanding.
Alibaba’s Qwen3-32B foundation model was trained on more than 100 billion words and phrases from Southeast Asian languages, drawn from a dataset spanning 119 languages and dialects. By doing so, the system learns to interpret local expressions, conversational styles and cultural references that global AI models typically miss.
