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GIST: Transforming Overwhelming Information into Structured Knowledge with Large Language Models

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Artificial Intelligence (CICAI 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14474))

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Abstract

This paper introduces GIST (Generative Information Synthesis Taskforce), a novel personal knowledge management system that utilizes large-scale online language models to analyze and organize the information, generating structured results, including summaries, key points, and questions and answers. The system also utilizes a multimodal information processing approach to enhance comprehension of the content. As the user’s knowledge base grows, GIST becomes a personal knowledge database and provides the necessary information at the right moment. GIST can be accessed on any device, serving as the brain and soul of the user’s devices, and empowering them to effectively manage their personal knowledge. Our demo video is at https://youtu.be/ImtduHMQKFQ.

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Correspondence to Yu Zhang .

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Wu, M., Zhou, X., Ma, G., Lu, Z., Zhang, L., Zhang, Y. (2024). GIST: Transforming Overwhelming Information into Structured Knowledge with Large Language Models. In: Fang, L., Pei, J., Zhai, G., Wang, R. (eds) Artificial Intelligence. CICAI 2023. Lecture Notes in Computer Science(), vol 14474. Springer, Singapore. https://doi.org/10.1007/978-981-99-9119-8_4

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  • DOI: https://doi.org/10.1007/978-981-99-9119-8_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-9118-1

  • Online ISBN: 978-981-99-9119-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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