This study examines the efficacy of two SOTA large language models (LLMs), namely ChatGPT and Microsoft Bing Chat (BingChat), in catering to the needs of Vietnamese students. Although ChatGPT exhibits proficiency in multiple disciplines, Bing Chat emerges as the more advantageous option. We conduct a comparative analysis of their academic achievements in various disciplines, encompassing mathematics, literature, English language, physics, chemistry, biology, history, geography, and civic education. The results of our study suggest that BingChat demonstrates superior performance compared to ChatGPT across a wide range of subjects, with the exception of literature, where ChatGPT exhibits better performance. Additionally, BingChat utilizes the more advanced GPT-4 technology in contrast to ChatGPT, which is built upon GPT-3.5. This allows BingChat to improve to comprehension, reasoning and generation of creative and informative text. Moreover, the fact that BingChat is accessible in Vietnam and its integration of hyperlinks and citations within responses serve to reinforce its superiority. In our analysis, it is evident that while ChatGPT exhibits praiseworthy qualities, BingChat presents a more apdated solutions for Vietnamese students.

翻译：本研究评估了两种最先进的大语言模型（LLMs），即ChatGPT与微软必应聊天（BingChat）在满足越南学生需求方面的效能。尽管ChatGPT在多个学科领域展现出专业能力，但BingChat被证明是更具优势的选择。我们通过对比分析两者在数学、文学、英语、物理、化学、生物、历史、地理及公民教育等学科中的学术表现发现：除文学领域ChatGPT表现更优外，BingChat在绝大部分学科中均展现出超越ChatGPT的优异性能。此外，BingChat采用更先进的GPT-4技术（相较于基于GPT-3.5架构的ChatGPT），使其在理解、推理以及创造性信息文本生成方面获得显著提升。尤为关键的是，BingChat在越南的可访问性及其在回复中整合超链接与引用的特性，进一步强化了其优越性。本研究表明：尽管ChatGPT具备值得肯定的品质，但BingChat为越南学生提供了更具适配性的解决方案。