{"id":5143,"date":"2023-09-07T11:38:29","date_gmt":"2023-09-07T11:38:29","guid":{"rendered":"https:\/\/dailyai.com\/?p=5143"},"modified":"2023-09-07T11:38:29","modified_gmt":"2023-09-07T11:38:29","slug":"microsofts-algorithm-of-thoughts-will-make-ai-even-smarter","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2023\/09\/microsofts-algorithm-of-thoughts-will-make-ai-even-smarter\/","title":{"rendered":"El algoritmo de los pensamientos de Microsoft har\u00e1 que la IA sea a\u00fan m\u00e1s inteligente"},"content":{"rendered":"<p><strong>Los investigadores de Microsoft han desarrollado un Algoritmo de Pensamientos (AoT) que supone un cambio de paradigma en la forma en que la IA resuelve los problemas.<\/strong><\/p>\n<p>La AoT se desarroll\u00f3 para que los LLM pensaran m\u00e1s como los humanos y fueran m\u00e1s eficientes en la resoluci\u00f3n de problemas. Microsoft afirma que su <a href=\"https:\/\/arxiv.org\/pdf\/2308.10379.pdf\">nuevo enfoque<\/a> combina los \"matices del razonamiento humano y la precisi\u00f3n disciplinada de las metodolog\u00edas algor\u00edtmicas\".<\/p>\n<p>El proceso actual de Cadena de Pensamiento que utilizan los LLM como ChatGPT se basa en patrones estad\u00edsticos para ir de la pregunta al resultado. Es una progresi\u00f3n muy lineal del problema a la soluci\u00f3n, ya que el LLM divide la soluci\u00f3n en pasos m\u00e1s peque\u00f1os.<\/p>\n<p>El problema de este enfoque es que los datos de entrenamiento no siempre son suficientes, por lo que a veces faltan algunos pasos. Cuando esto ocurre, el LLM se vuelve creativo y <a href=\"https:\/\/dailyai.com\/es\/2023\/07\/is-chatgpt-getting-worse-heres-everything-we-know-so-far\/\">alucina<\/a> rellenar los huecos con una respuesta incorrecta.<\/p>\n<p>Una t\u00e9cnica m\u00e1s avanzada que utilizan algunos LLM es encontrar una soluci\u00f3n utilizando el enfoque del \u00c1rbol del Pensamiento. El LLM sigue m\u00faltiples caminos lineales desde el problema hasta la soluci\u00f3n y se detiene cuando llega a una soluci\u00f3n inviable.<\/p>\n<p>Pero esto implica muchas consultas y consume mucha memoria y recursos inform\u00e1ticos.<\/p>\n<h2>\u00bfQu\u00e9 hace que AoT sea mejor?<\/h2>\n<p>Con AoT, el algoritmo eval\u00faa los primeros pasos de una posible soluci\u00f3n y decide desde el principio si merece la pena seguir o no un planteamiento. De este modo se evita que el algoritmo se obstine en seguir un camino obviamente equivocado y tenga que inventar algo.<\/p>\n<p>Adem\u00e1s, en lugar de un enfoque lineal, la TOA ofrece al LLM la posibilidad de buscar entre m\u00faltiples soluciones potenciales e incluso retroceder cuando sea necesario. En lugar de empezar de nuevo desde el principio cuando llega a un callej\u00f3n sin salida, puede volver al paso anterior y seguir explorando.<\/p>\n<p>El enfoque actual de los LLM es como conducir desde casa hasta el destino, perderse y volver a casa para probar una ruta diferente. El enfoque de la EdT consiste en volver al \u00faltimo punto en el que te equivocaste e intentar una nueva ruta a partir de ese punto.<\/p>\n<p>Este enfoque de \"aprendizaje en contexto\" permite que el modelo sea mucho m\u00e1s estructurado y sistem\u00e1tico a la hora de resolver problemas. Consume muchos menos recursos y podr\u00eda erradicar el problema que tienen los LLM con las alucinaciones.<\/p>\n<p>Incluso con este novedoso enfoque, la IA a\u00fan est\u00e1 lejos de pensar y razonar como lo hacen los humanos. Sin embargo, con AoT parece que se ha dado un paso importante en esa direcci\u00f3n.<\/p>\n<p>Una de las conclusiones a las que llegaron los investigadores a partir de sus experimentos fue que sus \"resultados sugieren que instruir a un LLM utilizando un algoritmo puede conducir a un rendimiento superior al del propio algoritmo\".<\/p>\n<p>Eso es exactamente lo que hace nuestro cerebro. Tenemos la capacidad inherente de aprender nuevas habilidades que antes desconoc\u00edamos. Imagina que una herramienta como ChatGPT fuera capaz de aprender razonando sin necesidad de formaci\u00f3n adicional.<\/p>\n<p>Este nuevo enfoque tambi\u00e9n podr\u00eda hacer que la IA fuera m\u00e1s transparente en su proceso de \"pensamiento\", d\u00e1ndonos una idea de lo que realmente ocurre detr\u00e1s del c\u00f3digo.<\/p>","protected":false},"excerpt":{"rendered":"<p>Investigadores de Microsoft han desarrollado un Algoritmo de Pensamientos (AoT) que supone un cambio de paradigma en la forma en que la IA resuelve problemas. El AoT se ha desarrollado para que las LLM piensen m\u00e1s como los humanos y sean m\u00e1s eficientes en la resoluci\u00f3n de problemas. Microsoft afirma que su nuevo enfoque combina los \"matices del razonamiento humano y la precisi\u00f3n disciplinada de las metodolog\u00edas algor\u00edtmicas\". El actual proceso de Cadena de Pensamiento que utilizan los LLM como ChatGPT se basa en patrones estad\u00edsticos para ir de la pregunta al resultado. Es una progresi\u00f3n muy lineal del problema a la soluci\u00f3n, ya que el LLM divide la soluci\u00f3n en pasos m\u00e1s peque\u00f1os. El problema con<\/p>","protected":false},"author":6,"featured_media":2181,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[207,105,121],"class_list":["post-5143","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-llm","tag-machine-learning","tag-microsoft"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Microsoft\u2019s Algorithm of Thoughts will make AI even smarter | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/es\/2023\/09\/microsofts-algorithm-of-thoughts-will-make-ai-even-smarter\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Microsoft\u2019s Algorithm of Thoughts will make AI even smarter | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Microsoft researchers have developed an Algorithm of Thoughts (AoT) which is a paradigm shift in how AI solves problems. The AoT was developed to make LLMs think more like humans do and to become more efficient at problem-solving. Microsoft claims that its new approach combines the &#8220;nuances of human reasoning and the disciplined precision of algorithmic methodologies.&#8221; The current Chain of Thought process that LLMs like ChatGPT use, relies on statistical patterns to go from prompt to output. It\u2019s a very linear progression from problem to solution as the LLM breaks the solution up into smaller steps. The problem with\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/es\/2023\/09\/microsofts-algorithm-of-thoughts-will-make-ai-even-smarter\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2023-09-07T11:38:29+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/07\/Microsoft-AI-Regulation.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"666\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Eugene van der Watt\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:site\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Eugene van der Watt\" \/>\n\t<meta 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