{"id":6851,"date":"2023-10-27T19:21:39","date_gmt":"2023-10-27T19:21:39","guid":{"rendered":"https:\/\/dailyai.com\/?p=6851"},"modified":"2023-10-27T22:55:24","modified_gmt":"2023-10-27T22:55:24","slug":"ai-subjected-to-tests-on-theory-of-mind-and-systematic-generalization","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2023\/10\/ai-subjected-to-tests-on-theory-of-mind-and-systematic-generalization\/","title":{"rendered":"La IA se somete a pruebas de teor\u00eda de la mente y generalizaci\u00f3n sistem\u00e1tica"},"content":{"rendered":"

Los investigadores han presentado FANToM, una nueva prueba de referencia dise\u00f1ada para comprobar y evaluar con rigor la comprensi\u00f3n y aplicaci\u00f3n de la Teor\u00eda de la Mente (ToM) por parte de los grandes modelos ling\u00fc\u00edsticos (LLM).<\/b><\/p>\n

La teor\u00eda de la mente se refiere a la capacidad de atribuir creencias, deseos y conocimientos a uno mismo y a los dem\u00e1s, y de comprender que los dem\u00e1s tienen creencias y perspectivas diferentes de las propias.\u00a0<\/span><\/p>\n

La ToM se considera fundamental para la conciencia de los animales inteligentes. Adem\u00e1s de los humanos, se considera que primates como los orangutanes, los gorilas y los chimpanc\u00e9s tienen ToM, al igual que algunos no primates como los loros y los miembros de la familia de los c\u00f3rvidos.\u00a0<\/span><\/p>\n

A medida que los modelos de IA se hacen m\u00e1s complejos, los investigadores buscan nuevos m\u00e9todos para evaluar capacidades como la ToM.<\/span><\/p>\n

Un nuevo punto de referencia llamado FANToM<\/span><\/a>creado por investigadores del Allen Institute for AI, la Universidad de Washington, la Universidad Carnegie Mellon y la Universidad Nacional de Se\u00fal, somete modelos de aprendizaje autom\u00e1tico a escenarios din\u00e1micos que reflejan interacciones de la vida real.\u00a0<\/span><\/p>\n

Con FANToM, los personajes entran y salen de las conversaciones, lo que desaf\u00eda a los modelos de IA a mantener un conocimiento preciso de qui\u00e9n sabe qu\u00e9 en cada momento.<\/span><\/p>\n

La aplicaci\u00f3n de FANToM a grandes modelos ling\u00fc\u00edsticos (LLM) revel\u00f3 que incluso los modelos m\u00e1s avanzados tienen dificultades para mantener una ToM coherente.\u00a0<\/span><\/p>\n

El rendimiento de los modelos fue significativamente inferior al de los participantes humanos, lo que pone de manifiesto las limitaciones de la IA para comprender y navegar por interacciones sociales complejas.\u00a0<\/span><\/p>\n

De hecho, los humanos dominaron todas las categor\u00edas, como se ve a continuaci\u00f3n.\u00a0<\/span><\/p>\n

\"IA
Los humanos fueron muy superiores a los populares LLM a la hora de responder a preguntas relacionadas con ToM. Fuente: FANTOM<\/a>.<\/figcaption><\/figure>\n

Un dato interesante es que la versi\u00f3n de octubre de la iteraci\u00f3n del modelo GPT-4 fue superada por una anterior de junio, lo que podr\u00eda respaldar las recientes an\u00e9cdotas entre los usuarios de que <\/span>ChatGPT est\u00e1 empeorando<\/span><\/a>.\u00a0<\/span><\/p>\n

FANToM tambi\u00e9n revel\u00f3 t\u00e9cnicas para mejorar la ToM de LLM, como el razonamiento en cadena y otros m\u00e9todos de ajuste. <\/span><\/p>\n

Sin embargo, la brecha entre la inteligencia artificial y las competencias humanas en ToM sigue siendo grande.\u00a0<\/span><\/p>\n

La IA avanza hacia un lenguaje similar al humano<\/span><\/h2>\n

En un asunto relacionado pero distinto <\/span>estudio publicado en Nature<\/span><\/a>Los cient\u00edficos desarrollaron una red neuronal capaz de generalizar el lenguaje como los humanos.\u00a0<\/span><\/p>\n

Esta nueva red neuronal mostr\u00f3 una impresionante capacidad para integrar palabras reci\u00e9n aprendidas en su vocabulario. A continuaci\u00f3n, pod\u00eda utilizar esas palabras en diversos contextos, una habilidad cognitiva conocida como generalizaci\u00f3n sistem\u00e1tica.\u00a0<\/span><\/p>\n

Los seres humanos muestran de forma natural una generalizaci\u00f3n sistem\u00e1tica, incorporando sin problemas nuevo vocabulario a su repertorio.\u00a0<\/span><\/p>\n

Por ejemplo, una vez que alguien aprende el t\u00e9rmino \"photobomb\", puede aplicarlo en diversas situaciones casi de inmediato. La jerga aparece constantemente y el ser humano la incorpora a su vocabulario de forma natural.\u00a0<\/span><\/p>\n

Los investigadores sometieron tanto su red neuronal personalizada como ChatGPT a una serie de pruebas y descubrieron que ChatGPT iba por detr\u00e1s del modelo personalizado en cuanto a rendimiento.<\/span><\/p>\n

Mientras que los LLM como ChatGPT destacan en muchos escenarios conversacionales, muestran notables incoherencias y lagunas en otros, un problema que aborda esta nueva red neuronal.<\/span><\/p>\n

Para investigar este aspecto de la comunicaci\u00f3n ling\u00fc\u00edstica, los investigadores realizaron un experimento con 25 participantes humanos, en el que evaluaron su capacidad para aplicar palabras reci\u00e9n aprendidas en distintos contextos. <\/span>Se present\u00f3 a los sujetos un pseudolenguaje compuesto por palabras sin sentido que representaban diversas acciones y reglas.\u00a0<\/span><\/p>\n

Tras una fase de entrenamiento, los participantes destacaron en la aplicaci\u00f3n de estas reglas abstractas a situaciones nuevas, mostrando una generalizaci\u00f3n sistem\u00e1tica.<\/span><\/p>\n

Cuando la red neuronal reci\u00e9n desarrollada fue expuesta a esta tarea, reflej\u00f3 el rendimiento humano. <\/span>Sin embargo, cuando se someti\u00f3 a ChatGPT al mismo reto, tuvo dificultades significativas, fallando entre el 42 y el 86% de las veces, dependiendo de la tarea espec\u00edfica.<\/span><\/p>\n

Esto es significativo por dos razones. En primer lugar, se podr\u00eda argumentar que esta nueva red neuronal super\u00f3 con eficacia a GPT-4 en esta tarea espec\u00edfica, lo cual ya es bastante impresionante. En segundo lugar, este estudio expone nuevos m\u00e9todos para ense\u00f1ar a los modelos de IA a generalizar nuevos lenguajes como los humanos.\u00a0<\/span><\/p>\n

Como describe Elia Bruni, especialista en procesamiento del lenguaje natural de la Universidad de Osnabr\u00fcck (Alemania), \"infundir sistematicidad a las redes neuronales es un gran reto\".<\/span><\/p>\n

Juntos, estos dos estudios ofrecen nuevos enfoques para entrenar modelos de IA m\u00e1s inteligentes que puedan rivalizar con los humanos en \u00e1reas cr\u00edticas como la ling\u00fc\u00edstica y la teor\u00eda de la mente. <\/span><\/p>","protected":false},"excerpt":{"rendered":"

Los investigadores han presentado FANToM, un novedoso sistema de evaluaci\u00f3n comparativa dise\u00f1ado para comprobar y evaluar con rigor la comprensi\u00f3n y aplicaci\u00f3n de la Teor\u00eda de la Mente (ToM) por parte de los grandes modelos ling\u00fc\u00edsticos (LLM). La Teor\u00eda de la Mente se refiere a la capacidad de atribuir creencias, deseos y conocimientos a uno mismo y a los dem\u00e1s, y de comprender que los dem\u00e1s tienen creencias y perspectivas diferentes de las propias. La TdM se considera fundamental para la conciencia de los animales inteligentes. Adem\u00e1s de los humanos, se considera que primates como los orangutanes, los gorilas y los chimpanc\u00e9s tienen ToM, al igual que algunos no primates como los loros y los miembros de la familia de los c\u00f3rvidos. Como modelos de IA<\/p>","protected":false},"author":2,"featured_media":6853,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[404,115,105,93],"class_list":["post-6851","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-agi","tag-chatgpt","tag-machine-learning","tag-openai"],"yoast_head":"\nAI subjected to tests on Theory of Mind and systematic generalization | DailyAI<\/title>\n<meta name=\"description\" content=\"Researchers have introduced FANToM, a novel benchmark designed to rigorously test and evaluate large language models\u2019 (LLMs) understanding and application of Theory of Mind (ToM).\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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