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 人工智能實驗室與馬來亞大學（UM）合作成功開發了第一個馬來MMLU（大規模多任務語言理解），最近被著名的自然語言處理實證方法會議（EMNLP 2024）接受。馬來MMLU是一個全面的基準，旨在評估馬來語中的大型語言模型（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.
通過爲評估多語言任務的LLM提供標準化機制，MMLU基準促進了公平和徹底的評估，從而推動LLM發展的卓越性。馬來MMLU包含超過24,000個問題，涵蓋了馬來西亞教育課程的22個科目的整個K-12範圍。
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.
這個基準對增進LLM對馬來語的理解以及推進教育、醫療保健和公共服務領域的應用至關重要，從而爲馬來西亞和東南亞提供具有文化相關性的人工智能解決方案。YTL 人工智能實驗室和馬來亞大學計劃公開發布馬來MMLU數據集以及評估代碼，使更廣泛的人工智能社區能夠爲更具包容性和有效性的人工智能技術的發展做出貢獻。
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電力國際董事經談錫漢表示：「馬來西亞正在迅速建立一個支持本國人工智能發展和應用的生態系統。我們的首批人工智能數據中心正在建設中，而我們的高校也在專注於培養人工智能人才。馬來MMLU的發佈是一個令人振奮的里程碑，無疑將加速馬來西亞成爲人工智能強國的道路。YTL 人工智能實驗室很榮幸能夠參與其中。」
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."
馬來亞大學計算機科學與信息技術學院院長陳志成博士，與YTL人工智能實驗室首席執行官馮志文共同領導了馬來MMLU的開發。他補充道：「馬來MMLU在EMNLP 2024會議上的接受標誌着爲馬來西亞背景量身定製的LLM的發展邁出了重要步伐。我們現在有了一個迄今不存在的馬來語基準。我們相信我們現在將開始看到大量應用建立在這一基準之上。能夠與YTL人工智能實驗室合作成爲世界上首個爲我們國家語言設定通用基準的馬來亞大學，這是一種莫大的榮幸。」
譯文內容由第三人軟體翻譯。