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View all- Chua TNgo CKumar RLauw H(2024)Report on the 33rd The ACM Web Conference (WWW 2024)ACM SIGIR Forum10.1145/3722449.372245458:2(1-8)Online publication date: 1-Dec-2024
Challenges Toward AGI and Its Impact to the Web
Authors: 
Bo Zhang, Jie TangAuthors Info & Claims
Bo Zhang, Jie TangAuthors Info & ClaimsAbstract
Large language models have substantially advanced the state of the art in various AI tasks, such as natural language understanding and text generation, and image processing, and multimodal modeling. In this talk, we will first introduce the development of AI in the past decades, in particular from the angle of China. We will also talk about the opportunities, challenges, and risks of AGI in the future, and its impact on the Web. In the second part of the talk, we will use ChatGLM, an alternative but open sourced model to ChatGPT, as an example to explain our understandings and insights derived during the implementation of the model.
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Published In
May 2024
4826 pages
ISBN:9798400701719
DOI:10.1145/3589334
- General Chairs:
- Tat-Seng Chua,
- Chong-Wah Ngo,
- Proceedings Chair:
- Roy Ka-Wei Lee,
- Program Chairs:
- Ravi Kumar,
- Hady W. Lauw
Copyright © 2024 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
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Publication History
Published: 13 May 2024
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WWW '24
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View all- Chua TNgo CKumar RLauw H(2024)Report on the 33rd The ACM Web Conference (WWW 2024)ACM SIGIR Forum10.1145/3722449.372245458:2(1-8)Online publication date: 1-Dec-2024
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