{"id":184,"date":"2025-05-02T10:47:21","date_gmt":"2025-05-02T14:47:21","guid":{"rendered":"https:\/\/businessphysics.ai\/?p=184"},"modified":"2025-05-02T10:47:23","modified_gmt":"2025-05-02T14:47:23","slug":"context-windows-tokens-in-ai-a-simple-explanation","status":"publish","type":"post","link":"https:\/\/businessphysics.ai\/es\/context-windows-tokens-in-ai-a-simple-explanation\/","title":{"rendered":"Ventanas contextuales y fichas en la IA: una explicaci\u00f3n sencilla"},"content":{"rendered":"<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-1024x576.jpeg\" alt=\"\" class=\"wp-image-185\" srcset=\"https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-1024x576.jpeg 1024w, https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-300x169.jpeg 300w, https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-768x432.jpeg 768w, https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-1536x864.jpeg 1536w, https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-2048x1152.jpeg 2048w, https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-18x10.jpeg 18w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><strong>Ventanas contextuales<\/strong> y <strong>fichas<\/strong> son dos conceptos fundamentales en la Inteligencia Artificial, especialmente en los Modelos de Lenguaje Amplio (LLM). Comprender estos conceptos permitir\u00e1 entender mejor por qu\u00e9 los modelos de IA parecen \"olvidar\" partes de la conversaci\u00f3n una vez que se han desarrollado lo suficiente, as\u00ed como por qu\u00e9 el modelo puede malinterpretar indicaciones complejas.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u00bfQu\u00e9 son las fichas?<\/h2>\n\n\n\n<p>En IA, un token es un <strong>unidad de datos<\/strong> que puede representar un car\u00e1cter, una palabra o una frase. Se puede pensar en ellos como bloques de construcci\u00f3n que los modelos utilizan para crear sus respuestas. Normalmente, en ingl\u00e9s, cada token equivale a 4 caracteres, aunque esto no es una regla. Otros idiomas tienen una equivalencia de tokenizaci\u00f3n diferente y tambi\u00e9n puede depender de los propios sistemas de IA.<\/p>\n\n\n\n<p><strong>Ejemplo de fichas:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Palabras completas (\"casa\", \"gato\", \"maravilloso\")<\/li>\n\n\n\n<li>Partes de palabras (\"un-\" \"expect-\" \"-ed\")<\/li>\n\n\n\n<li>Caracteres individuales (especialmente para signos de puntuaci\u00f3n como \".\" o \"?\")<\/li>\n\n\n\n<li>Espacios entre palabras<\/li>\n<\/ul>\n\n\n\n<p>Por ejemplo, la frase \"\u00a1Me encanta aprender sobre IA!\" podr\u00eda descomponerse en tokens como:<\/p>\n\n\n\n<p>\"I\"<br>\"amor\"<br>\" aprendizaje\"<br>\" sobre\"<br>\" AI\"<br>\u201c\u00a1\u201d<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u00bfPor qu\u00e9 son importantes las fichas?<\/h3>\n\n\n\n<p>Los tokens ayudan a los sistemas de inteligencia artificial a procesar el lenguaje de forma m\u00e1s eficaz. No intentan entender todas y cada una de las palabras que introduces, sino que trabajan con un vocabulario limitado de fichas. Esto hace que su tarea sea mucho m\u00e1s manejable.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"margin-top:var(--wp--preset--spacing--30);margin-bottom:var(--wp--preset--spacing--30)\">\u00bfQu\u00e9 es una ventana contextual?<\/h2>\n\n\n\n<p>Las ventanas contextuales son el l\u00edmite hasta el que ciertos modelos guardar\u00e1n en la memoria la informaci\u00f3n que les facilites en una conversaci\u00f3n, para luego responderte.<\/p>\n\n\n\n<p>La ventana de contexto representa la cantidad de texto (medido en tokens) que un modelo de IA puede \"ver\" y considerar a la vez al generar una respuesta. Incluye:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Su pregunta o solicitud actual<\/li>\n\n\n\n<li>Mensajes anteriores de la conversaci\u00f3n<\/li>\n\n\n\n<li>Cualquier documento o informaci\u00f3n que hayas compartido<\/li>\n\n\n\n<li>Respuestas anteriores de la propia IA<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\u00bfPor qu\u00e9 son importantes las ventanas contextuales?<\/h3>\n\n\n\n<p>Las ventanas de contexto son importantes en el sentido de que influyen en la calidad de la respuesta. Supongamos que una IA tiene una ventana de contexto de 8.000 tokens (unas 6.000 palabras), s\u00f3lo puede tener en cuenta esa cantidad de contexto para generar la respuesta. Todo lo que quede fuera de esta ventana de contexto ser\u00e1 invisible para la IA.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Algunas ventajas pr\u00e1cticas de comprender estos conceptos:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Si analiza un largo <strong>documento<\/strong>En la ventana de contexto, es posible que tenga que resumirlo, dividirlo en secciones m\u00e1s peque\u00f1as para analizarlas y centrarse en las partes importantes.<\/li>\n\n\n\n<li>Para <strong>escritura creativa<\/strong>Por ejemplo, si est\u00e1s trabajando en una historia, puede que te interese controlar qu\u00e9 parte de la ventana de contexto se est\u00e1 utilizando, refrescar la conversaci\u00f3n de vez en cuando y resumir los cap\u00edtulos anteriores para garantizar la continuidad al tiempo que ahorras fichas.<\/li>\n\n\n\n<li>Para <strong>codificaci\u00f3n<\/strong> en tus proyectos, debes asegurarte de proporcionar s\u00f3lo el contexto necesario para alcanzar tu objetivo. Como alguien que ha estado programando con IA, es f\u00e1cil ser perezoso y proporcionar demasiada o muy poca informaci\u00f3n sobre un problema que est\u00e1s tratando de resolver. Eso, sin embargo, no produce los mejores resultados y podr\u00eda incluso perjudicarte m\u00e1s que nada.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"margin-top:var(--wp--preset--spacing--30);margin-bottom:0\">Estrategias para trabajar con ventanas contextuales<\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>S\u00e9 conciso:<\/strong> Comun\u00edquese de forma clara pero eficaz para ahorrar fichas.<\/li>\n\n\n\n<li><strong>Priorizar la informaci\u00f3n:<\/strong> Incluya primero los detalles m\u00e1s importantes.<\/li>\n\n\n\n<li><strong>Resuma cuando sea posible:<\/strong> En lugar de pegar un documento entero, considera la posibilidad de compartir un resumen con los puntos clave.<\/li>\n\n\n\n<li><strong>Limpia:<\/strong> En las conversaciones largas, considere la posibilidad de empezar de cero cuando el contexto se llene de informaci\u00f3n irrelevante.<\/li>\n\n\n\n<li><strong>Estructure sus preguntas:<\/strong> Las preguntas espec\u00edficas y bien organizadas ayudan a la IA a comprender sus necesidades sin necesidad de m\u00e1s intercambios.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"margin-top:var(--wp--preset--spacing--30)\">Conclusi\u00f3n<\/h2>\n\n\n\n<p>Las fichas y las ventanas contextuales son conceptos importantes que hay que aprender cuando se intenta trabajar con IA. Comprenderlos te ayudar\u00e1 a comunicarte mejor con el modelo de IA, trabajando con todo su potencial y dentro de sus limitaciones. A medida que avanza la tecnolog\u00eda de la IA, las ventanas de contexto se hacen m\u00e1s grandes y el procesamiento de tokens m\u00e1s eficiente, pero estos conceptos siguen siendo el n\u00facleo de c\u00f3mo interactuamos con la IA ling\u00fc\u00edstica.<\/p>\n\n\n\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\" style=\"margin-top:var(--wp--preset--spacing--40)\">Recursos:<\/h3>\n\n\n\n<p><strong>Fichas:<\/strong><\/p>\n\n\n\n<p>DataCamp: <a href=\"https:\/\/www.datacamp.com\/blog\/what-is-tokenization\">https:\/\/www.datacamp.com\/blog\/what-is-tokenization<\/a><br>Microsoft: <a href=\"https:\/\/learn.microsoft.com\/en-us\/dotnet\/ai\/conceptual\/understanding-tokens\">https:\/\/learn.microsoft.com\/en-us\/dotnet\/ai\/conceptual\/understanding-tokens<\/a><br>Lighton: <a href=\"https:\/\/www.lighton.ai\/lighton-blogs\/the-magic-of-tokens-in-generative-ai-a-deep-dive\">https:\/\/www.lighton.ai\/lighton-blogs\/the-magic-of-tokens-in-generative-ai-a-deep-dive<\/a><br><br><strong>Ventanas contextuales:<\/strong><br><br>IBM: <a href=\"https:\/\/www.ibm.com\/think\/topics\/context-window\">https:\/\/www.ibm.com\/think\/topics\/context-window<\/a><br>McKinsey: <a href=\"https:\/\/www.mckinsey.com\/featured-insights\/mckinsey-explainers\/what-is-a-context-window\">https:\/\/www.mckinsey.com\/featured-insights\/mckinsey-explainers\/what-is-a-context-window<\/a><br>Nebius: <a href=\"https:\/\/nebius.com\/blog\/posts\/context-window-in-ai\">https:\/\/nebius.com\/blog\/posts\/context-window-in-ai<\/a><\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Context windows and tokens are two foundational concepts in AI, especially in Large Language Models (LLMs). Understanding these concepts will make more sense of why AI models seem to \u201cforget\u201d parts of the conversation once developed enough as well as why complex prompts can be misinterpreted by the model. What are Tokens ? In AI, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[47,46,45],"class_list":["post-184","post","type-post","status-publish","format-standard","hentry","category-ai-article","tag-ai","tag-context-windows","tag-tokens"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Context Windows &amp; Tokens in AI: A Simple Explanation - Business Physics AI Lab<\/title>\n<meta name=\"description\" content=\"What are Context Windows in AI? What exactly are tokens in AI ? 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