a company is adding their specific data to a generative ai model to customize it.

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ProWeb 2024-02-12T23:39:19+05:30 2 Answers 125 views Beginner
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  1. Kiran K
    2
    2024-02-12T23:47:17+05:30
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    The process of integrating company-specific data into a generative AI model to tailor it is referred to as model tuning or fine-tuning. This involves taking a pre-existing AI model and further training it using data specific to a particular domain or task. By doing so, the model becomes adapted to the nuances and intricacies of the provided data, resulting in a customized solution that aligns with the company’s objectives. Fine-tuning enables organizations to capitalize on pre-trained AI models while optimizing them to suit their unique needs, thereby enhancing performance and accuracy for their intended application.

     

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  2. Kespar1
    1
    2024-02-12T23:50:20+05:30
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    The model you’re referring to is typically called a “fine-tuned” or “customized” generative AI model. By incorporating specific data from the company, the model can be trained or adapted to generate outputs that are tailored to the company’s needs or domain. This process of customization often involves fine-tuning the parameters of the original model with the company’s data to improve its performance on specific tasks or within specific contexts.

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