ChatGPT: Precisión y limitaciones en operaciones matemáticas
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2024
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Abstract
En este trabajo de fin de grado, se investiga la capacidad y los límites de ChatGPT para resolver operaciones matemáticas. La investigación se realiza, por un lado, a través de una pregunta directa la inteligencia artificial y, por otro, mediante la petición de ejecución de unos casos de prueba en un código de programación que previamente ChatGPT ha proporcionado. De esta manera, al tratarse de un sistema de procesamiento del lenguaje natural, se determinan cuáles son las características de esta inteligencia que derivan en un resultado correcto o erróneo en el cálculo de una operación matemática. Para ello, se desarrolla una aplicación web con las interfaces necesarias para realizar pruebas, y con una sección estadística donde visualizar de forma gráfica los resultados. Esta se implementa bajo el framework de Django, elegido por su compatibilidad con el lenguaje Python, en el que se ejecuta la aplicación, por
su modularidad y escalabilidad.
In this Final Degree work, we investigate the capacity and limits of ChatGPT to solve mathematical operations. The research is done by direct question to the AI and through the request of execution of some test cases in a programming code that ChatGPT has previously provided. In this way, being a natural language processing system, the characteristics that lead ChatGPT to give the correct result or to make a mistake in the calculation of a mathematical operation are determined. For this purpose, a web application is developed with the necessary interfaces to perform tests, and with a statistical section where the results can be graphically displayed. The application is developed under the Django framework, chosen for its compatibility with the Python language, in which the application is developed, for its modularity and scalability.
In this Final Degree work, we investigate the capacity and limits of ChatGPT to solve mathematical operations. The research is done by direct question to the AI and through the request of execution of some test cases in a programming code that ChatGPT has previously provided. In this way, being a natural language processing system, the characteristics that lead ChatGPT to give the correct result or to make a mistake in the calculation of a mathematical operation are determined. For this purpose, a web application is developed with the necessary interfaces to perform tests, and with a statistical section where the results can be graphically displayed. The application is developed under the Django framework, chosen for its compatibility with the Python language, in which the application is developed, for its modularity and scalability.
Description
Doble Grado en Administración y Dirección de Empresas e Ingeniería Informática, Facultad de Informática UCM, Departamento de Sistemas Informáticos y Computación, Curso 2023/2024.