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：本研究探讨了两种最先进的大型语言模型（LLMs），即ChatGPT和微软必应聊天（BingChat）在满足越南学生需求方面的有效性。尽管ChatGPT在多个学科领域展现出熟练度，但必应聊天被证明是更优选择。我们对它们在数学、文学、英语、物理、化学、生物、历史、地理及公民教育等各学科中的学业表现进行了比较分析。研究结果表明，除文学学科中ChatGPT表现更佳外，必应聊天在广泛学科领域均展现出优于ChatGPT的性能。此外，必应聊天采用了更先进的GPT-4技术，而ChatGPT基于GPT-3.5架构，这使得必应聊天在理解、推理及生成创造性信息文本方面得以改进。更为关键的是，必应聊天在越南的可访问性及其在回答中整合超链接和引用的特性，进一步强化了其优势地位。通过分析可见，尽管ChatGPT具有值得称道的特性，但必应聊天为越南学生提供了更具适配性的解决方案。