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      El modelo de lenguaje basado en inteligencia artificial sensible - ChatGPT: Análisis bibliométrico y posibles usos en la agricultura y pecuaria Translated title: The language model based on sensitive artificial intelligence - ChatGPT: Bibliometric analysis and possible uses in agriculture and livestock

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          Abstract

          Resumen ChatGPT su suma a la lista de sistemas basados en inteligencia artificial diseñados para realizar tareas específicas y responder preguntas mediante la interacción con los usuarios (Siri de Apple, Alexa de Amazon, Assistant y Bard de Google, Cortana de Microsoft, Watson de IBM, Bixby de Samsung, entre otros). ChatGPT funciona utilizando el modelo de lenguaje GPT (Transformador Preentrenado Generativo) de OpenAI y es capaz de aprender de las preferencias y patrones de comportamiento de los usuarios para personalizar su respuesta. ChatGPT tiene el potencial de ser aplicado en diferentes ámbitos, siendo la educación, periodismo, redacción científica, comunicación, biología celular, biotecnología, donde ya existen evidencias. El objetivo de este trabajo fue analizar las posibles aplicaciones de ChatGPT en la industria agrícola y pecuaria. En primer lugar, fue realizado un análisis cenciométrico con VosViewer y Bibliometrix (Bliblioshiny). Se identificaron 3 clústeres: (a) Característica principales; (b) sistemas de aprendizaje que utiliza; y (c) aplicaciones. A la pregunta ¿Cuáles son las principales aplicaciones en que ChatGTP revolucionará la agricultura (o pecuaria) en el mundo? ChatGPT respondió: (a) en el ámbito agrícola: mejora de la toma de decisiones agrícolas, optimización de la producción agrícola, detección y prevención de enfermedades de las plantas, gestión del clima y gestión de la cadena de suministro; y (b) en el campo pecuario: mejora de la salud y el bienestar animal, optimización de la producción animal, gestión de la cadena de suministro, detección y prevención de enfermedades zoonóticas y gestión del clima para la producción animal. ChatGPT no fundamenta científicamente su respuesta, pero del análisis realizado, encontramos que existe suficiente evidencia científica para concluir, en este caso, que sus respuestas fueron correctas. Si bien ChatGPT no necesariamente fundamenta científicamente sus respuestas, los usuarios deberían hacerlo. Faltan estudios del uso de la Inteligencia Artificial y su relación con la ética.

          Translated abstract

          Abstract ChatGPT adds to the list of artificial intelligence-based systems designed to perform specific tasks and answer questions by interacting with users (Apple's Siri, Amazon's Alexa, Google's Assistant and Bard, Microsoft's Cortana, IBM's Watson, Bixby from Samsung, among others). ChatGPT works using OpenAI's GPT (Generative Pretrained Transformer) language model and is capable of learning from users' preferences and behavior patterns to customize its response. ChatGPT has the potential to be applied in different fields, including education, journalism, scientific writing, communication, cell biology, and biotechnology, where there is already evidence. The aim of this work was to analyze the possible applications of ChatGPT in the agricultural and livestock industry. First, a scientometric analysis was performed with VosViewer and Bibliometrix (Bliblioshiny). 3 clusters were identified: (a) Main characteristics; (b) learning systems you use; and (c) applications. To the question: What are the main applications in which ChatGTP will revolutionize agriculture (or livestock) in the world? ChatGPT responded: (a) in the agricultural field: improvement of agricultural decision-making, optimization of agricultural production, detection and prevention of plant diseases, climate management, and supply chain management; and (b) in the livestock field: improvement of animal health and welfare, optimization of animal production, supply chain management, detection and prevention of zoonotic diseases, and climate management for animal production. ChatGPT does not scientifically support its answer, but from the analysis carried out, we find that there is enough scientific evidence to conclude, in this case, that its answers were correct. While ChatGPT does not necessarily scientifically substantiate its answers, users should. There is a lack of studies on the use of Artificial Intelligence and its relationship with ethics.

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          Most cited references30

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          ChatGPT: five priorities for research

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            ChatGPT is fun, but not an author

            In less than 2 months, the artificial intelligence (AI) program ChatGPT has become a cultural sensation. It is freely accessible through a web portal created by the tool’s developer, OpenAI. The program—which automatically creates text based on written prompts—is so popular that it’s likely to be “at capacity right now” if you attempt to use it. When you do get through, ChatGPT provides endless entertainment. I asked it to rewrite the first scene of the classic American play Death of a Salesman , but to feature Princess Elsa from the animated movie Frozen as the main character instead of Willy Loman. The output was an amusing conversation in which Elsa—who has come home from a tough day of selling—is told by her son Happy, “Come on, Mom. You’re Elsa from Frozen . You have ice powers and you’re a queen. You’re unstoppable.” Mash-ups like this are certainly fun, but there are serious implications for generative AI programs like ChatGPT in science and academia.
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              ChatGPT listed as author on research papers: many scientists disapprove

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                Author and article information

                Journal
                agro
                Scientia Agropecuaria
                Scientia Agropecuaria
                Universidad Nacional de Trujillo. Facultad de Ciencias Agropecuarias (Trujillo, , Peru )
                2077-9917
                January 2023
                : 14
                : 1
                : 111-116
                Affiliations
                [1] Trujillo orgnameUniversidad Nacional de Trujillo orgdiv1Facultad de Ciencias Agropecuarias orgdiv2Escuela de Ingeniería Agroindustrial Peru
                [2] Trujillo orgnameUniversidad Nacional de Trujillo orgdiv1Facultad de Ciencias Agropecuarias orgdiv2Escuela de Ingeniería Zootecnia Peru
                Article
                S2077-99172023000100111 S2077-9917(23)01400100111
                10.17268/sci.agropecu.2023.010
                ca0a98e7-26d6-404a-aefc-2e6875188279

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 13 February 2023
                : 03 March 2023
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 30, Pages: 6
                Product

                SciELO Peru

                Categories
                Artículos de Revisión

                autoregressive language model,chatbot,inteligencia artificial,minería de datos,minería de texto,producción de textos,aprendizaje profundo,modelo de lenguaje autorregresivo,artificial intelligence,data mining,text mining,text production,deep learning

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