ece88938ee227667c3875b9a827914e6

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    [publishedTime] => 2024-12-16 21:09:16
    [idp] => 1486
    [resumen] => La inteligencia artificial ha avanzado gracias a los datos, pero ahora enfrenta un límite: el agotamiento de los datos útiles. Expertos como Ilya Sutskever hablan de este desafío. Los modelos como GPT-4 y Gemini 2.0 requieren grandes cantidades de datos para aprender, pero la cantidad de datos útiles no aumenta al mismo ritmo que las demandas de los modelos. Se exploran alternativas como los datos sintéticos y los agentes autónomos. Empresas como NVIDIA y OpenAI ya utilizan datos sintéticos para entrenar modelos. El futuro de la IA podría depender menos de los datos humanos y más de su capacidad para crear y gestionar su propia información.
    [title] => El (casi) inesperado límite de la inteligencia artificial
    [respuesta] => El agotamiento de los datos útiles
    [what] => Límite de la inteligencia artificial
    [image] => 
    [lang] => es
    [uid] => ece88938ee227667c3875b9a827914e6
    [status] => 8
    [respuesta_en_titulo] => 8
    [conceptos_principales_resumen] => Array
        (
            [0] => agotamiento de los datos
            [1] => GPT-4
            [2] => Gemini 2.0
            [3] => datos sintéticos
            [4] => agentes autónomos
        )

    [categoria] => Tecnología
    [prompt_DALLY] => Illustration of a robot with a screen displaying a graph of decreasing data
    [prompt] => Ilustración de un robot con una pantalla que muestra un gráfico de datos en descenso
    [clickbait] => 6
    [im_gen] => KO
    [a_urlDominio] => 
vía  www.muycomputer.com
    [dominio] => www.muycomputer.com
    [urlDominio] => https://www.muycomputer.com/2024/12/16/el-casi-inesperado-limite-de-la-inteligencia-artificial/#:~:text=agotamiento%20de%20los%20datos
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