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    Transparent Peer Review By Scholar9

    Comprehensive study on Generative AI, plethora of applications and impacts

    Abstract

    Generative Artificial Intelligence a subfield of AI, focuses on developing systems that can generate new, novel and creative contents such as text, images, audio, music, videos. By leveraging the deep learning techniques these models are capable of producing the new contents that almost resembles the realistic contents generated by human creations. These models of Gen AI have gained significant importance in research and have plethora of applications in wide varieties of fields. The impact of GenAI is not just on abled but also on disabled communities who are sometimes unnoticed. This survey gives a comprehensive understanding of GenAI and applications and the current state of the art models, impacts on the disabled communities along with the challenges covering the future scope.

    Reviewer Photo

    Uma Babu Chinta Reviewer

    badge Review Request Accepted
    Reviewer Photo

    Uma Babu Chinta Reviewer

    09 Sep 2024 01:41 PM

    badge Approved

    Relevance and Originality

    Methodology

    Validity & Reliability

    Clarity and Structure

    Results and Analysis

    Relevance and Originality:

    The article discusses Generative Artificial Intelligence (GenAI) and its ability to create novel content across various media types. It highlights both the broad applications of GenAI and its impact on disabled communities, an often overlooked aspect. This focus on inclusivity adds originality to the discussion and emphasizes the importance of understanding GenAI's role in diverse contexts.

    Methodology:

    The summary indicates that the paper is a survey of GenAI, but it lacks specific details on the methodology used. For a comprehensive review, it would be helpful to know how the survey was conducted, including the selection criteria for sources and the analysis techniques employed. Detailing the process for evaluating the impact on disabled communities would also strengthen the methodological rigor.

    Validity & Reliability:

    The validity of the findings would depend on the quality and range of sources reviewed in the survey. To ensure reliability, the paper should include a thorough review of current models and applications, supported by empirical evidence and case studies. The credibility of the sources and the comprehensiveness of the review will affect the reliability of the conclusions drawn.

    Clarity and Structure:

    The article seems well-structured by addressing GenAI's general applications, its impact on disabled communities, and future challenges. However, the clarity would benefit from a more detailed breakdown of how GenAI models work, specific examples of their applications, and a clear outline of the challenges discussed. Using subheadings and providing concrete examples would improve readability and understanding.

    Result Analysis:

    The summary mentions the comprehensive understanding of GenAI and its impact but does not provide specific results or insights from the survey. Effective result analysis should include detailed findings on how GenAI models perform, their applications in various fields, and specific impacts on disabled communities. It should also highlight key challenges and potential future directions for research. Providing quantitative data or specific case studies would enhance the depth of the result analysis.

    Publisher Logo

    IJ Publication Publisher

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    Publisher

    IJ Publication

    IJ Publication

    Reviewer

    Uma Babu

    Uma Babu Chinta

    More Detail

    Category Icon

    Paper Category

    Computer Engineering

    Journal Icon

    Journal Name

    IJCRT - International Journal of Creative Research Thoughts External Link

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    p-ISSN

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    e-ISSN

    2320-2882

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