Vietnamese Language Models

Vietnamese language models are deep learning models specifically designed for Vietnamese in the field of natural language processing, aiming to understand and generate textual data in Vietnamese. Their core objective is to capture the grammatical structure, vocabulary usage, and semantic characteristics of Vietnamese through training on large-scale corpora, thereby achieving efficient and accurate language processing tasks. These models are of great value in applications such as machine translation, sentiment analysis, text classification, and speech recognition, significantly enhancing the intelligence level of Vietnamese information processing.