{"id":32792,"date":"2025-05-26T14:39:54","date_gmt":"2025-05-26T12:39:54","guid":{"rendered":"https:\/\/www.codemotion.com\/magazine\/?p=32792"},"modified":"2025-09-12T12:54:19","modified_gmt":"2025-09-12T10:54:19","slug":"ingenieria-de-prompts-y-el-potencial-oculto-de-los-llms","status":"publish","type":"post","link":"https:\/\/www.codemotion.com\/magazine\/es\/inteligencia-artificial\/ingenieria-de-prompts-y-el-potencial-oculto-de-los-llms\/","title":{"rendered":"Ingenier\u00eda de Prompts y el potencial oculto de los\u00a0LLMs"},"content":{"rendered":"\n<p>Imagina tener una conversaci\u00f3n con una mente vasta, capaz de generar ideas, textos, c\u00f3digo y mucho m\u00e1s. Esa es la promesa de los Large Language Models (LLMs), inteligencias artificiales entrenadas con cantidades ingentes de datos textuales. Pero, \u00bfc\u00f3mo dirigimos esa inmensa capacidad? Aqu\u00ed es donde entra en juego la <strong>ingenier\u00eda de prompts<\/strong>, un campo emergente que se sit\u00faa en la intersecci\u00f3n de la ling\u00fc\u00edstica, la inform\u00e1tica y, s\u00ed, un toque de arte.<\/p>\n\n\n\n<p>En su esencia, un <strong><em>prompt<\/em><\/strong> es la instrucci\u00f3n o pregunta que le damos a un LLM. Puede ser tan simple como \u201c\u00bfCu\u00e1l es la capital de Francia?\u201d o tan complejo como \u201cEscribe un poema en estilo surrealista sobre la melancol\u00eda de un robot oxidado que a\u00f1ora el sol\u201d. La calidad y la especificidad de este prompt son cruciales, ya que act\u00faan como la br\u00fajula que gu\u00eda la respuesta del modelo.<\/p>\n\n\n\n<p>Piensa en los LLMs como genios encerrados en una l\u00e1mpara digital. El prompt es la forma en que formulamos nuestro deseo. Un deseo vago podr\u00eda generar una respuesta igualmente imprecisa, mientras que un deseo articulado y lleno de matices tiene el potencial de desatar una creatividad y una utilidad sorprendentes.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\" id=\"h-que-son-los-nbsp-large-language-models\"><strong>\u00bfQu\u00e9 son los&nbsp;<strong>Large Language Models<\/strong>?<\/strong><\/h2>\n\n\n\n<p>Los <strong> LLMs<\/strong> o modelos de lenguaje a gran escala, son sistemas de inteligencia artificial entrenados con grandes cantidades de datos textuales, capaces de generar, comprender y manipular el lenguaje de una forma sorprendentemente humana. Gracias a su entrenamiento, pueden responder preguntas, escribir textos creativos, resumir informaci\u00f3n, traducir idiomas y hasta resolver problemas complejos. Estos modelos se han posicionado como herramientas esenciales en diversas \u00e1reas, desde la asistencia virtual hasta la generaci\u00f3n de contenido acad\u00e9mico y profesional.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><a class=\"alt=&quot;ingenier\u00eda de prompts&quot;\" href=\"https:\/\/pikaso.cdnpk.net\/private\/production\/1809332682\/conversions\/render-preview.jpg?token=exp=1753315200~hmac=9d193ae742184006674a410ba85e9a97ea8cdd881f5d9c38dcf270cff04c9c88\" target=\"_blank\" rel=\" noreferrer noopener\"><img decoding=\"async\" src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*Pbg1FonFHyDYr79lI9EIwQ.jpeg\" alt=\"\"\/><\/a><\/figure><\/div>\n\n\n<h2 class=\"wp-block-heading has-text-align-center\" id=\"h-el-arte-del-prompting\"><strong>El Arte del Prompting<\/strong><\/h2>\n\n\n\n<p>La ingenier\u00eda de prompts va mucho m\u00e1s all\u00e1 de simplemente hacer preguntas. Implica una comprensi\u00f3n profunda de c\u00f3mo funcionan los LLMs, sus fortalezas y sus limitaciones. Requiere experimentar, iterar y refinar nuestras instrucciones para obtener los resultados deseados. Es un arte porque exige creatividad para encontrar las palabras exactas, la estructura precisa y el tono adecuado para \u201cconversar\u201d eficazmente con la inteligencia artificial.<\/p>\n\n\n\n<p>El <strong>prompting<\/strong>&nbsp;es el arte de dise\u00f1ar el mensaje o instrucci\u00f3n que le damos a un LLM para obtener respuestas precisas, coherentes y \u00fatiles. Aunque los LLMs tienen una gran capacidad de generaci\u00f3n, la calidad y relevancia de la respuesta dependen en gran medida de la claridad, el contexto y la estructura de nuestro prompt. En otras palabras, no se trata solo de preguntar, sino de hacerlo de la manera m\u00e1s efectiva posible.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\" id=\"h-tecnicas-de-ingenieria-de-prompts\"><strong>T\u00e9cnicas de Ingenier\u00eda de Prompts<\/strong><\/h2>\n\n\n<div class=\"gb-container gb-container-ac7ec9f3\">\n\n<p>Algunas de las t\u00e9cnicas que exploramos en el arte del prompting incluyen:<\/p>\n\n<\/div>\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Claridad y contexto:<\/strong> Un prompt bien dise\u00f1ado proporciona suficiente informaci\u00f3n para que el modelo entienda de qu\u00e9 se le est\u00e1 hablando. Ofrecer informaci\u00f3n de fondo relevante ayuda al LLM a comprender mejor la tarea y a generar respuestas m\u00e1s pertinentes. Evitar la ambig\u00fcedad y ser lo m\u00e1s detallado posible sobre lo que esperamos. En lugar de \u201cEscribe sobre el cambio clim\u00e1tico\u201d, podr\u00edamos decir \u201cEscribe un breve ensayo explicando las tres principales consecuencias del aumento del nivel del mar debido al cambio clim\u00e1tico, citando estudios recientes\u201d.<\/li>\n\n\n\n<li><strong>Definici\u00f3n de <a href=\"https:\/\/www.codemotion.com\/magazine\/es\/ciencia-de-datos\/descifrando-roles-datos\/\">Roles<\/a>:<\/strong> Asignarle un \u201crol\u201d al LLM puede influir significativamente en su respuesta. Podemos pedirle que act\u00fae como un \u201chistoriador experto\u201d, un \u201cconsultor de marketing creativo\u201d o un \u201cprogramador de Python experimentado\u201d.<\/li>\n\n\n\n<li><strong>Direccionalidad y Establecer el Formato:<\/strong> Incluir instrucciones espec\u00edficas sobre el tono, formato o niveles de detalle ayuda a guiar la respuesta. Indicar expl\u00edcitamente el formato deseado (un listado, un p\u00e1rrafo, un poema, c\u00f3digo en un lenguaje espec\u00edfico) facilita la obtenci\u00f3n del resultado esperado.<\/li>\n\n\n\n<li><strong>Uso de Ejemplos (Few-Shot Prompting):<\/strong> En algunos casos, es \u00fatil mostrarle al LLM ejemplos para que entienda la estructura o el estilo esperado. Proporcionar ejemplos de lo que buscamos puede guiar al LLM para que genere respuestas similares en estilo y contenido.<\/li>\n\n\n\n<li><strong>Iteraci\u00f3n y Refinamiento:<\/strong> Rara vez obtenemos la respuesta perfecta al primer intento. A menudo es necesario ajustar y optimizar el prompt para mejorar la respuesta, lo que implica un proceso c\u00edclico de prueba, an\u00e1lisis y mejora. La ingenier\u00eda de prompts es un proceso iterativo donde analizamos la salida del LLM, ajustamos el prompt y volvemos a intentarlo hasta lograr el resultado deseado.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-ejemplos-de-nbsp-codigo\"><strong>Ejemplos de&nbsp;C\u00f3digo<\/strong><\/h3>\n\n\n\n<p>A continuaci\u00f3n, se presentan algunos ejemplos pr\u00e1cticos con c\u00f3digo en Python para ilustrar c\u00f3mo podemos interactuar con un LLM utilizando t\u00e9cnicas de prompting.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-1-prompt-basico-zero-shot-prompting\"><strong><em>1. Prompt B\u00e1sico (Zero-shot Prompting)<\/em><\/strong><\/h4>\n\n\n\n<p>En este ejemplo, realizamos una llamada a la API de OpenAI utilizando un prompt simple. Este enfoque se denomina <strong><em>zero-shot prompting<\/em><\/strong>, en el cual no se proporcionan ejemplos, solo la instrucci\u00f3n directa.<\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-1\" data-shcb-language-name=\"PHP\" data-shcb-language-slug=\"php\"><span><code class=\"hljs language-php\">import openai\n\n<span class=\"hljs-comment\"># Configuraci\u00f3n de la clave API<\/span>\nopenai.api_key = <span class=\"hljs-string\">\"TU_API_KEY\"<\/span>\n\n<span class=\"hljs-comment\"># Definici\u00f3n del prompt simple<\/span>\nprompt = <span class=\"hljs-string\">\"Explica de manera clara qu\u00e9 es un Large Language Model (LLM) y c\u00f3mo funciona.\"<\/span>\n\n<span class=\"hljs-comment\"># Solicitud a la API utilizando un prompt b\u00e1sico<\/span>\nresponse = openai.ChatCompletion.create(\n    model=<span class=\"hljs-string\">\"gpt-4\"<\/span>,\n    messages=&#91;\n        {<span class=\"hljs-string\">\"role\"<\/span>: <span class=\"hljs-string\">\"system\"<\/span>, <span class=\"hljs-string\">\"content\"<\/span>: <span class=\"hljs-string\">\"Eres un experto en inteligencia artificial y procesamiento del lenguaje.\"<\/span>},\n        {<span class=\"hljs-string\">\"role\"<\/span>: <span class=\"hljs-string\">\"user\"<\/span>, <span class=\"hljs-string\">\"content\"<\/span>: prompt}\n    ]\n)\n\n<span class=\"hljs-comment\"># Mostrar la respuesta del modelo<\/span>\n<span class=\"hljs-keyword\">print<\/span>(response.choices&#91;<span class=\"hljs-number\">0<\/span>].message.content)<\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-1\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">PHP<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">php<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<p><strong><em>Explicaci\u00f3n:<\/em><\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Configuramos la clave API necesaria para autentificar la solicitud.<\/li>\n\n\n\n<li>Se define un prompt directo y claro.<\/li>\n\n\n\n<li>Se establece un mensaje del sistema para indicar el rol del modelo, lo que ayuda a contextualizar la respuesta.<\/li>\n\n\n\n<li>Finalmente, se invoca la API y se imprime la respuesta.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-2-prompt-con-ejemplos-few-shot-prompting\"><strong><em>2. Prompt con Ejemplos (Few-shot Prompting)<\/em><\/strong><\/h4>\n\n\n\n<p>En el siguiente ejemplo, utilizamos <strong><em>few-shot prompting<\/em><\/strong> para guiar al modelo a trav\u00e9s de ejemplos. Esto es \u00fatil cuando queremos un formato o estilo espec\u00edficos en la respuesta.<\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-2\" data-shcb-language-name=\"JavaScript\" data-shcb-language-slug=\"javascript\"><span><code class=\"hljs language-javascript\"><span class=\"hljs-keyword\">import<\/span> openai\n\nopenai.api_key = <span class=\"hljs-string\">\"TU_API_KEY\"<\/span>\n\nmessages = &#91;\n    {<span class=\"hljs-string\">\"role\"<\/span>: <span class=\"hljs-string\">\"system\"<\/span>, <span class=\"hljs-string\">\"content\"<\/span>: <span class=\"hljs-string\">\"Eres un experto en ingenier\u00eda de prompts y LLMs.\"<\/span>},\n    {<span class=\"hljs-string\">\"role\"<\/span>: <span class=\"hljs-string\">\"user\"<\/span>, <span class=\"hljs-string\">\"content\"<\/span>: <span class=\"hljs-string\">\"A continuaci\u00f3n, se muestran ejemplos sobre c\u00f3mo estructurar un resumen:\\n\\nEjemplo 1:\\nEntrada: \\\"La IA est\u00e1 transformando la medicina.\\\"\\nSalida: \\\"La inteligencia artificial est\u00e1 revolucionando el campo m\u00e9dico, mejorando diagn\u00f3sticos y tratamientos.\\\"\\n\\nEjemplo 2:\\nEntrada: \\\"El cambio clim\u00e1tico afecta la biodiversidad.\\\"\\nSalida: \\\"El cambio clim\u00e1tico est\u00e1 reduciendo la diversidad biol\u00f3gica, alterando ecosistemas y poniendo en riesgo especies.\\\" \\n\\nAhora, resume este texto de manera similar:\\nEntrada: \\\"La tecnolog\u00eda impulsa avances en la educaci\u00f3n.\\\"\"<\/span>}\n]\n\nresponse = openai.ChatCompletion.create(\n    model=<span class=\"hljs-string\">\"gpt-4\"<\/span>,\n    messages=messages\n)\n\nprint(response.choices&#91;<span class=\"hljs-number\">0<\/span>].message.content)<\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-2\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">JavaScript<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">javascript<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<p><strong><em>Explicaci\u00f3n:<\/em><\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Se a\u00f1ade una serie de mensajes, incluyendo un mensaje de sistema que posiciona al LLM como experto en el campo.<\/li>\n\n\n\n<li>El prompt del usuario incluye dos ejemplos claros de entrada y salida, lo que establece el formato que se espera en la respuesta.<\/li>\n\n\n\n<li>Se solicita al modelo que aplique esa l\u00f3gica a un nuevo texto.<\/li>\n\n\n\n<li>Este m\u00e9todo mejora la precisi\u00f3n y coherencia de las respuestas cuando se requiere un formato espec\u00edfico.<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><a class=\"alt=&quot;Prompts\/IA&quot;\" href=\"https:\/\/cdn.you.com\/youagent-images\/flux1_1-pro\/327ea713-c09d-4e93-bef5-f9db384f1c89.png\" target=\"_blank\" rel=\" noreferrer noopener\"><img decoding=\"async\" src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*MFcUA4FcdW_5tJdYyB4SdA.png\" alt=\"\"\/><\/a><\/figure><\/div>\n\n\n<h4 class=\"wp-block-heading\" id=\"h-3-prompt-avanzado-con-instrucciones-detalladas\"><strong><em>3. Prompt Avanzado con Instrucciones Detalladas<\/em><\/strong><\/h4>\n\n\n\n<p>Un prompt avanzado puede incluir instrucciones sobre la extensi\u00f3n, el estilo y la profundidad de la respuesta. Este ejemplo es ideal para cuando buscas respuestas m\u00e1s elaboradas.<\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-3\" data-shcb-language-name=\"JavaScript\" data-shcb-language-slug=\"javascript\"><span><code class=\"hljs language-javascript\"><span class=\"hljs-keyword\">import<\/span> openai\n\nopenai.api_key = <span class=\"hljs-string\">\"TU_API_KEY\"<\/span>\n\nmessages = &#91;\n    {<span class=\"hljs-string\">\"role\"<\/span>: <span class=\"hljs-string\">\"system\"<\/span>, <span class=\"hljs-string\">\"content\"<\/span>: <span class=\"hljs-string\">\"Act\u00faa como experto en IA, explicando conceptos de manera did\u00e1ctica y con ejemplos en el c\u00f3digo cuando sea pertinente.\"<\/span>},\n    {<span class=\"hljs-string\">\"role\"<\/span>: <span class=\"hljs-string\">\"user\"<\/span>, <span class=\"hljs-string\">\"content\"<\/span>: <span class=\"hljs-string\">\"Expl\u00edcame detalladamente qu\u00e9 es el prompting en LLMs, c\u00f3mo se diferencia el approach de zero-shot y few-shot, y cu\u00e1les son las mejores pr\u00e1cticas para conseguir respuestas consistentes y de alta calidad. Usa ejemplos en c\u00f3digo de Python para ilustrar tus puntos.\"<\/span>}\n]\n\nresponse = openai.ChatCompletion.create(\n    model=<span class=\"hljs-string\">\"gpt-4\"<\/span>,\n    messages=messages\n)\n\nprint(response.choices&#91;<span class=\"hljs-number\">0<\/span>].message.content)<\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-3\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">JavaScript<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">javascript<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<p><strong><em>Explicaci\u00f3n:<\/em><\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>En el mensaje del sistema, se indica expl\u00edcitamente la profundidad, el tono y la expectativa de respuesta.<\/li>\n\n\n\n<li>El prompt del usuario detalla las preguntas a responder, abarcando no solo la definici\u00f3n de <strong><em>prompting<\/em><\/strong>, sino tambi\u00e9n las estrategias y mejores pr\u00e1cticas, junto con la solicitud de ejemplos en c\u00f3digo.<\/li>\n\n\n\n<li>Este enfoque proporciona una respuesta integral que puede abarcar desde la teor\u00eda hasta la pr\u00e1ctica, adapt\u00e1ndose a diversas necesidades educativas o profesionales.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\" id=\"h-mejores-practicas-de-prompting\"><strong>Mejores Pr\u00e1cticas de Prompting<\/strong><\/h2>\n\n\n\n<p>Al dise\u00f1ar prompts efectivos, ten en cuenta lo siguiente:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>S\u00e9 espec\u00edfico:<\/strong> Cuanto m\u00e1s detallada sea tu instrucci\u00f3n, mayor es la probabilidad de obtener una respuesta precisa.<\/li>\n\n\n\n<li><strong>Define el contexto:<\/strong> Los mensajes del sistema son fundamentales para guiar el rol y los conocimientos que se esperan de la respuesta.<\/li>\n\n\n\n<li><strong>Itera y refina:<\/strong> No temas probar variaciones del prompt hasta lograr el resultado deseado.<\/li>\n\n\n\n<li><strong>Usa ejemplos cuando sea necesario:<\/strong> Proveer ejemplos concretos puede eliminar ambig\u00fcedades y ayudar al modelo a entender el formato o el estilo esperado.<\/li>\n\n\n\n<li><strong>Considera la longitud y la complejidad:<\/strong> Demasiada informaci\u00f3n en un solo prompt puede confundir al modelo. A veces, dividir un problema en partes m\u00e1s peque\u00f1as resulta en respuestas m\u00e1s precisas.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-center\" id=\"h-un-campo-en-evolucion-constante\"><strong>Un Campo en Evoluci\u00f3n Constante<\/strong><\/h2>\n\n\n\n<p>La <a href=\"https:\/\/www.ibm.com\/es-es\/think\/topics\/prompt-engineering\">ingenier\u00eda de prompts<\/a> es un campo din\u00e1mico y en r\u00e1pida evoluci\u00f3n. A medida que los LLMs se vuelven m\u00e1s sofisticados, tambi\u00e9n lo hacen las t\u00e9cnicas para interactuar con ellos de manera efectiva. Comprender los principios fundamentales del prompting se est\u00e1 convirtiendo en una habilidad crucial en diversos campos, desde la creaci\u00f3n de contenido y la investigaci\u00f3n hasta la educaci\u00f3n y la resoluci\u00f3n de problemas complejos.<\/p>\n\n\n\n<p>La ingenier\u00eda de prompts es tanto un arte como una ciencia. Permite sacarle el m\u00e1ximo provecho a los LLMs, transformando la forma en que interactuamos con ellos. Ya sea que te dediques a la investigaci\u00f3n, el desarrollo o simplemente tengas curiosidad, dominar el arte del prompting abre un abanico de posibilidades innovadoras.<\/p>\n\n\n\n<p>As\u00ed que la pr\u00f3xima vez que interact\u00faes con un LLM, recuerda que no solo est\u00e1s haciendo una pregunta, est\u00e1s participando en el arte de la <strong><em>ingenier\u00eda de prompts<\/em><\/strong>. \u00a1Atr\u00e9vete a explorar y a dar forma a las palabras que dan vida a la <a href=\"https:\/\/www.codemotion.com\/magazine\/es\/inteligencia-artificial\/machine-learning-para-principiantes-iniciar-y-dominar-la-ia\/\">inteligencia artificial<\/a>!<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><a class=\"alt=&quot;prompt eficiente&quot;\" href=\"https:\/\/pikaso.cdnpk.net\/private\/production\/1466453996\/conversions\/render-preview.jpg?token=exp=1753315200~hmac=16e0ca36e5d6e7e52edf6c8dac079834b23e68388b1669a17ba61b2b2336a7d5\" target=\"_blank\" rel=\" noreferrer noopener\"><img decoding=\"async\" src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*SLqZ4z7LVshnnqbu99OJgg.jpeg\" alt=\"\"\/><\/a><\/figure><\/div>\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Imagina tener una conversaci\u00f3n con una mente vasta, capaz de generar ideas, textos, c\u00f3digo y mucho m\u00e1s. Esa es la promesa de los Large Language Models (LLMs), inteligencias artificiales entrenadas con cantidades ingentes de datos textuales. Pero, \u00bfc\u00f3mo dirigimos esa inmensa capacidad? Aqu\u00ed es donde entra en juego la ingenier\u00eda de prompts, un campo emergente&#8230; <a class=\"more-link\" href=\"https:\/\/www.codemotion.com\/magazine\/es\/inteligencia-artificial\/ingenieria-de-prompts-y-el-potencial-oculto-de-los-llms\/\">Read more<\/a><\/p>\n","protected":false},"author":313,"featured_media":27660,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","_uag_custom_page_level_css":"","_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[10598],"tags":[10742,12922,12083],"collections":[12988,13269,12990],"class_list":{"0":"post-32792","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-inteligencia-artificial","8":"tag-inteligencia-artificial","9":"tag-machine-learning-es","10":"tag-prompts","11":"collections-ia-es","12":"collections-llms-es","13":"collections-machine-learning-es","14":"entry"},"yoast_head":"<!-- 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