Artificial intelligence is sweeping across the globe at an unprecedented speed, but a significant issue is becoming increasingly prominent: while general-purpose AI is proficient in many skills, it often struggles with specific regional cultures and languages. This is particularly true in culturally and linguistically diverse areas such as the Middle East and South Asia, where users urgently require AI models that understand the 'local language'. Although large general models can handle multiple languages, they often reveal a lack of cultural depth and in-depth regional knowledge when dealing with scenarios rich in regional context.

In recent times, a research team from the Massachusetts Institute of Technology (MIT) has conducted in-depth studies on large language models (LLMs), examining their performance across various tasks. They have found that although these models may appear impressive in common tasks, their reasoning abilities are often overestimated, especially when faced with unfamiliar scenarios.Image Source Note: The image is generated by AI, and the image licensing service is provided by Midjourney The research