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Computer Science > Computation and Language

arXiv:2303.17580 (cs)
[Submitted on 30 Mar 2023]

Title:HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in
HuggingFace

Authors:Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu
, Yueting Zhuang
Download a PDF of the paper titled HuggingGPT: Solving AI Tasks with
ChatGPT and its Friends in HuggingFace, by Yongliang Shen and 5 other
authors
Download PDF

    Abstract: Solving complicated AI tasks with different domains and
    modalities is a key step toward artificial general intelligence
    (AGI). While there are abundant AI models available for different
    domains and modalities, they cannot handle complicated AI tasks.
    Considering large language models (LLMs) have exhibited
    exceptional ability in language understanding, generation,
    interaction, and reasoning, we advocate that LLMs could act as a
    controller to manage existing AI models to solve complicated AI
    tasks and language could be a generic interface to empower this.
    Based on this philosophy, we present HuggingGPT, a system that
    leverages LLMs (e.g., ChatGPT) to connect various AI models in
    machine learning communities (e.g., HuggingFace) to solve AI
    tasks. Specifically, we use ChatGPT to conduct task planning when
    receiving a user request, select models according to their
    function descriptions available in HuggingFace, execute each
    subtask with the selected AI model, and summarize the response
    according to the execution results. By leveraging the strong
    language capability of ChatGPT and abundant AI models in
    HuggingFace, HuggingGPT is able to cover numerous sophisticated
    AI tasks in different modalities and domains and achieve
    impressive results in language, vision, speech, and other
    challenging tasks, which paves a new way towards AGI.

          Computation and Language (cs.CL); Artificial Intelligence
Subjects: (cs.AI); Computer Vision and Pattern Recognition (cs.CV);
          Machine Learning (cs.LG)
Cite as:  arXiv:2303.17580 [cs.CL]
          (or arXiv:2303.17580v1 [cs.CL] for this version)
          https://doi.org/10.48550/arXiv.2303.17580
          Focus to learn more
          arXiv-issued DOI via DataCite

Submission history

From: Yongliang Shen [view email]
[v1] Thu, 30 Mar 2023 17:48:28 UTC (2,931 KB)
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    Download a PDF of the paper titled HuggingGPT: Solving AI Tasks
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