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Computer Science > Machine Learning

arXiv:2301.04655 (cs)
[Submitted on 11 Jan 2023]

Title:ChatGPT is not all you need. A State of the Art Review of large
Generative AI models

Authors:Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchan
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    Abstract: During the last two years there has been a plethora of
    large generative models such as ChatGPT or Stable Diffusion that
    have been published. Concretely, these models are able to perform
    tasks such as being a general question and answering system or
    automatically creating artistic images that are revolutionizing
    several sectors. Consequently, the implications that these
    generative models have in the industry and society are enormous,
    as several job positions may be transformed. For example,
    Generative AI is capable of transforming effectively and
    creatively texts to images, like the DALLE-2 model; text to 3D
    images, like the Dreamfusion model; images to text, like the
    Flamingo model; texts to video, like the Phenaki model; texts to
    audio, like the AudioLM model; texts to other texts, like
    ChatGPT; texts to code, like the Codex model; texts to scientific
    texts, like the Galactica model or even create algorithms like
    AlphaTensor. This work consists on an attempt to describe in a
    concise way the main models are sectors that are affected by
    generative AI and to provide a taxonomy of the main generative
    models published recently.

Comments: 22 pages
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
Cite as:  arXiv:2301.04655 [cs.LG]
          (or arXiv:2301.04655v1 [cs.LG] for this version)
          https://doi.org/10.48550/arXiv.2301.04655
          Focus to learn more
          arXiv-issued DOI via DataCite

Submission history

From: Eduardo C. Garrido-Merchan [view email]
[v1] Wed, 11 Jan 2023 15:48:36 UTC (4,123 KB)
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