What Would Be an Appropriate Task for Using Generative Ai?

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    2024-02-12T23:28:52+05:30

    Generative AI offers a diverse array of applications across various functions within an organization. Christopher Penn outlines six overarching categories where generative AI can make a substantial impact:

    Key Points:

    Generation:
    Generative AI has the ability to produce content such as blog posts, emails, or images. It can generate text or visuals based on input parameters with remarkable intuition.

    Extraction:
    This involves extracting specific data from extensive datasets. For example, a generative AI system can parse tables from PDF files and convert them into formats compatible with software like Microsoft Excel.

    Summarization:
    Generative AI can distill large volumes of text into concise summaries. This capability proves invaluable for generating meeting notes from lengthy conference call transcripts or condensing extensive articles.

    Rewriting:
    This task encompasses rephrasing content, including language translation, simplifying complex concepts, or transforming informal content into polished documents.

    Classification:
    Generative AI can autonomously categorize and classify text into predefined topics or categories. For instance, it can analyze a set of blog posts and assign them to relevant topics without human intervention.

    Question Answering:
    Generative AI can pose questions and retrieve answers from knowledge bases or documents. For instance, it can evaluate whether an RFP response aligns with specific criteria or requirements.

    Generative AI’s adaptability and capabilities render it a valuable asset for streamlining and enhancing a broad spectrum of tasks and workflows within an organization, ranging from content creation to data analysis and decision-making support.

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