YTL AI Labs, UM Pave The Way For AI In Malaysian Education
YTL AI Labs, UM Pave The Way For AI In Malaysian Education
Dato Seri Yeoh Seok Hong, Managing Director of YTL Power International, stated, "Malaysia is rapidly building an ecosystem that will support the development and adoption of AI in the country. Our first AI data centres are being built and our universities are focusing on building AI talent. The release of the MalayMMLU is an exciting milestone that will undoubtedly accelerate Malaysia's journey to becoming an AI Nation. YTL AI Labs is proud to be part of this journey."YTL AI Labs, in collaboration with Universiti Malaya (UM), has successfully developed the first MalayMMLU (Massive Multi-task Language Understanding), which has recently been accepted at the prestigious Empirical Methods in Natural Language Processing 2024 (EMNLP 2024) conference. The MalayMMLU is a comprehensive benchmark designed to evaluate large language models (LLMs) in Bahasa Melayu.
YTL 人工智能实验室与马来亚大学（UM）合作成功开发了第一个马来MMLU（大规模多任务语言理解），最近被著名的自然语言处理实证方法会议（EMNLP 2024）接受。马来MMLU是一个全面的基准，旨在评估马来语中的大型语言模型（LLM）。
By providing a standardised mechanism for assessing LLMs across multiple language tasks, the MMLU benchmark facilitates fair and thorough evaluations, thereby driving excellence in LLM development. The MalayMMLU consists of over 24,000 questions covering the entire K-12 spectrum across 22 subjects from the Malaysian education curriculum.
通过为评估多语言任务的LLM提供标准化机制，MMLU基准促进了公平和彻底的评估，从而推动LLM发展的卓越性。马来MMLU包含超过24,000个问题，涵盖了马来西亚教育课程的22个科目的整个K-12范围。
This benchmark is vital for enhancing LLMs' understanding of Bahasa Melayu and advancing applications in education, healthcare, and public services, thus fostering culturally relevant AI solutions for Malaysia and Southeast Asia. YTL AI Labs and Universiti Malaya plan to publicly release the MalayMMLU dataset along with the evaluation code, enabling the wider AI community to contribute to the development of more inclusive and effective AI technologies.
这个基准对增进LLM对马来语的理解以及推进教育、医疗保健和公共服务领域的应用至关重要，从而为马来西亚和东南亚提供具有文化相关性的人工智能解决方案。YTL 人工智能实验室和马来亚大学计划公开发布马来MMLU数据集以及评估代码，使更广泛的人工智能社区能够为更具包容性和有效性的人工智能技术的发展做出贡献。
Dato Seri Yeoh Seok Hong, Managing Director of YTL Power International, stated, "Malaysia is rapidly building an ecosystem that will support the development and adoption of AI in the country. Our first AI data centres are being built and our universities are focusing on building AI talent. The release of the MalayMMLU is an exciting milestone that will undoubtedly accelerate Malaysia's journey to becoming an AI Nation. YTL AI Labs is proud to be part of this journey."
YTL电力国际董事经谈锡汉表示：“马来西亚正在迅速建立一个支持本国人工智能发展和应用的生态系统。我们的首批人工智能数据中心正在建设中，而我们的高校也在专注于培养人工智能人才。马来MMLU的发布是一个令人振奋的里程碑，无疑将加速马来西亚成为人工智能强国的道路。YTL 人工智能实验室很荣幸能够参与其中。”
Professor Ir. Dr Chan Chee Seng, Dean of the Faculty of Computer Science and Information Technology at Universiti Malaya, who co-led the development of the MalayMMLU with Foong Chee Mun, CEO of YTL AI Labs, added, "Acceptance of the MalayMMLU at the EMNLP 2024 conference marks a significant milestone in the development of LLMs tailored to the Malaysian context. We now have a benchmark for the Bahasa Melayu language which hitherto did not exist. We believe that we will now begin to see a proliferation of applications built on the back of this benchmark. It is a great privilege for Universiti Malaya to be working with YTL AI Labs to be the first in the world to set a universal benchmark for our national language."
马来亚大学计算机科学与信息技术学院院长陈志成博士，与YTL人工智能实验室首席执行官冯志文共同领导了马来MMLU的开发。他补充道：“马来MMLU在EMNLP 2024会议上的接受标志着为马来西亚背景量身定制的LLM的发展迈出了重要步伐。我们现在有了一个迄今不存在的马来语基准。我们相信我们现在将开始看到大量应用建立在这一基准之上。能够与YTL人工智能实验室合作成为世界上首个为我们国家语言设定通用基准的马来亚大学，这是一种莫大的荣幸。”
