From Data Platforms to Knowledge Infrastructure
Page 114
Abstract
Modern society is facing pressing issues, including environmental challenges, inequality, and regional conflicts. To resolve these complex societal problems, the concept of ''open science'' is essential, as emphasized at last year's G7 meeting. In Japan, starting in 2025, all scientific papers resulting from publicly funded research, along with the associated data, will be required to be immediately accessible through open access.
The National Institute of Informatics (NII) has been at the forefront of advancing Japan's academic information infrastructure for many years. In 2017, NII embarked on the development of the NII Research Data Cloud -- a platform for the publication, discovery, and management of academic information -- which became operational in 2021. By 2022, the project evolved into a research data ecosystem, built in collaboration with numerous universities and research institutions. This initiative aims to create a comprehensive environment where papers, data, and computational resources are readily accessible across all fields of research.
Recognizing the significant impact of generative AI on society and the need for a hub in Japan where large-scale language models (LLMs) can be developed and studied, NII spearheaded the formation of the LLM-jp study group (https://llm-jp.nii.ac.jp/en/) in May 2023. The group, founded on principles of openness, began with approximately 30 researchers specializing in natural language processing and has since grown to over 1,800 participants from industry, government, and academia.
In April 2024, NII further advanced this initiative by establishing the LLM R&D Center. By September 2024, the center had developed and released the world's largest fully open LLM, featuring 172 billion parameters -- on a scale similar to GPT-3.5. The center's ongoing work also focuses on ensuring the reliability and transparency of these models.
To address the complex societal challenges mentioned above, it is crucial not only to deepen academic research but also to foster collaboration across various disciplines, creating new cross-disciplinary knowledge. LLMs can play a pivotal role in these processes by interpreting data, interconnecting and systematizing knowledge, and laying the groundwork for a robust knowledge infrastructure.
Index Terms
- From Data Platforms to Knowledge Infrastructure
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Published In
December 2024
328 pages
ISBN:9798400707247
DOI:10.1145/3673791
- General Chairs:
- Tetsuya Sakai,
- Emi Ishita,
- Hiroaki Ohshima,
- Program Chairs:
- Faegheh Hasibi,
- Jiaxin Mao,
- Joemon Jose
Copyright © 2024 Owner/Author.
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Published: 08 December 2024
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