{"id":6451,"date":"2025-05-26T01:26:59","date_gmt":"2025-05-26T01:26:59","guid":{"rendered":"https:\/\/www.myshirtai.com\/archives\/6451"},"modified":"2025-05-26T01:26:59","modified_gmt":"2025-05-26T01:26:59","slug":"gemma%e6%a8%a1%e5%9e%8b%e5%8f%98%e4%bd%93%e6%b7%b1%e5%ba%a6%e8%a7%a3%e6%9e%90%ef%bc%9a%e5%9e%82%e7%9b%b4%e9%a2%86%e5%9f%9fai%e7%9a%84%e6%8a%80%e6%9c%af%e7%aa%81%e7%a0%b4%e4%b8%8e%e5%ae%9e%e6%88%98","status":"publish","type":"post","link":"https:\/\/www.myshirtai.com\/es\/archives\/6451","title":{"rendered":"An\u00e1lisis en profundidad de las variantes del modelo Gemma: avances t\u00e9cnicos y aplicaciones pr\u00e1cticas de la IA de dominio vertical"},"content":{"rendered":"<h2 class=\"wp-block-heading\" id=\"h-\u4e13\u4e1a\u5316ai\u6a21\u578b\u7684\u6280\u672f\u8303\u5f0f\u8f6c\u53d8\">Cambio de paradigma tecnol\u00f3gico en los modelos especializados de IA<\/h2>\n\n\n\n<p>Los tres nuevos modelos especializados Gemma de Google -MedGemma, SignGemma y DolphinGemma- representan un cambio significativo en el desarrollo de modelos de IA, que pasan de la adaptaci\u00f3n de prop\u00f3sito general a la adaptaci\u00f3n de precisi\u00f3n especializada. El n\u00facleo de este cambio es la capacidad de mejorar significativamente el rendimiento en escenarios verticales, manteniendo al mismo tiempo la capacidad de despliegue del modelo a trav\u00e9s de datos de preentrenamiento espec\u00edficos del dominio, arquitectura optimizada del modelo y dise\u00f1o de tareas espec\u00edficas.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Nombre del modelo<\/th><th>aplicaci\u00f3n principal<\/th><th>Aspectos t\u00e9cnicos destacados<\/th><th>situaci\u00f3n<\/th><\/tr><\/thead><tbody><tr><td>MedGemma<\/td><td>Comprensi\u00f3n de im\u00e1genes y textos m\u00e9dicos<\/td><td>Modelo 4B\/27B, funcionamiento con una sola GPU, c\u00f3digo abierto<\/td><td>Publicado en<\/td><\/tr><tr><td>SignGemma<\/td><td>Int\u00e9rpretes de lengua de signos para ayudar a comunicarse a las personas con deficiencias auditivas<\/td><td>Compatibilidad multiling\u00fce, conversi\u00f3n de texto ASL a ingl\u00e9s<\/td><td>Lanzados durante el a\u00f1o<\/td><\/tr><tr><td>Delf\u00ednGemma<\/td><td>Sintetizar los sonidos de los delfines para explorar las posibilidades de comunicaci\u00f3n de las especies<\/td><td>Generaci\u00f3n de habla sint\u00e9tica de delf\u00edn basada en 40 a\u00f1os de investigaci\u00f3n y entrenamiento<\/td><td>Prototipo demostrado<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>En comparaci\u00f3n con el gran modelo tradicional de uso general, estas variantes especializadas encuentran un mejor equilibrio entre la demanda de recursos inform\u00e1ticos, la complejidad de despliegue y los efectos de aplicaci\u00f3n pr\u00e1ctica, proporcionando una nueva v\u00eda de soluci\u00f3n para la industrializaci\u00f3n de la tecnolog\u00eda de IA.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-medgemma-\u533b\u7597ai\u7684\u5de5\u7a0b\u5316\u7a81\u7834\">MedGemma: avances de ingenier\u00eda en IA sanitaria<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-\u6280\u672f\u67b6\u6784\u8bbe\u8ba1\u4e0e\u5173\u952e\u521b\u65b0\">Dise\u00f1o de la arquitectura tecnol\u00f3gica e innovaciones clave<\/h3>\n\n\n\n<p>MedGemma emplea una arquitectura diferenciada de doble modelo optimizada con precisi\u00f3n para las distintas necesidades de los escenarios sanitarios:<\/p>\n\n\n\n<p><strong>Caracter\u00edsticas t\u00e9cnicas de la versi\u00f3n multimodal 4B<\/strong>::<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>codificador de im\u00e1genes<\/strong>Codificador de visi\u00f3n SigLIP integrado optimizado para datos de im\u00e1genes m\u00e9dicas<\/li>\n\n\n\n<li><strong>Cobertura de datos previa al entrenamiento<\/strong>Datos m\u00e9dicos multimodales, como radiograf\u00edas de t\u00f3rax, im\u00e1genes dermatol\u00f3gicas, im\u00e1genes oftalmol\u00f3gicas, cortes de tejidos patol\u00f3gicos, etc.<\/li>\n\n\n\n<li><strong>eficiencia computacional<\/strong>Capacidad de inferencia en una \u00fanica GPU para el an\u00e1lisis de im\u00e1genes m\u00e9dicas en tiempo real<\/li>\n<\/ul>\n\n\n\n<p><strong>27B Versi\u00f3n de razonamiento textual Ventajas<\/strong>::<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>comprensi\u00f3n sem\u00e1ntica profunda<\/strong>Formaci\u00f3n intensiva de corpus de textos m\u00e9dicos para mejorar la precisi\u00f3n del razonamiento cl\u00ednico<\/li>\n\n\n\n<li><strong>Capacidad de integraci\u00f3n de conocimientos<\/strong>Integraci\u00f3n de conocimientos m\u00e9dicos multidisciplinares, como informes radiol\u00f3gicos, an\u00e1lisis patol\u00f3gicos, diagn\u00f3sticos oftalmol\u00f3gicos, etc.<\/li>\n<\/ul>\n\n\n\n<p>Documentaci\u00f3n oficial:<a href=\"https:\/\/developers.google.com\/health-ai-developer-foundations\/medgemma\">https:\/\/developers.google.com\/health-ai-developer-foundations\/medgemma<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-\u5b9e\u6218\u5e94\u7528\u573a\u666f\u4e0e\u6027\u80fd\u57fa\u51c6\">Escenarios de aplicaci\u00f3n reales y pruebas de rendimiento<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Tipo de aplicaci\u00f3n<\/th><th>Realizaci\u00f3n t\u00e9cnica<\/th><th>Caracter\u00edsticas de rendimiento<\/th><th>Requisitos de implantaci\u00f3n<\/th><\/tr><\/thead><tbody><tr><td>Clasificaci\u00f3n de la imagen m\u00e9dica<\/td><td>4B modelo multimodal + ajuste fino<\/td><td>Supera a los modelos gen\u00e9ricos del mismo tama\u00f1o<\/td><td>GPU \u00fanica con ajuste fino de LoRA<\/td><\/tr><tr><td>Generaci\u00f3n de informes de im\u00e1genes<\/td><td>Preguntas y respuestas sobre el tratamiento integral de im\u00e1genes<\/td><td>Generar descripciones de diagn\u00f3stico estructuradas<\/td><td>Admite el procesamiento por lotes<\/td><\/tr><tr><td>Apoyo a las decisiones cl\u00ednicas<\/td><td>27B Text Models + Proyecto Tipster<\/td><td>Resumen del paciente, recomendaciones diagn\u00f3sticas<\/td><td>Puede integrarse con los sistemas de RME existentes<\/td><\/tr><tr><td>An\u00e1lisis inteligente de historiales m\u00e9dicos<\/td><td>Comprensi\u00f3n de textos + Cadena de razonamiento<\/td><td>Extracci\u00f3n de informaci\u00f3n estructurada<\/td><td>Soporte para la integraci\u00f3n del est\u00e1ndar FHIR<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/05\/image-88.png\" alt=\"\" class=\"wp-image-1683\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/05\/MedGemma.mp4\"><\/video><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-\u6a21\u578b\u4f18\u5316\u4e0e\u90e8\u7f72\u7b56\u7565\">Estrategias de optimizaci\u00f3n y despliegue de modelos<\/h3>\n\n\n\n<p><strong>M\u00e9todos eficaces de ajuste fino<\/strong>::<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Adaptaci\u00f3n LoRA<\/strong>Optimizado para tareas m\u00e9dicas espec\u00edficas con adaptadores de bajo rango, manteniendo las capacidades b\u00e1sicas<\/li>\n\n\n\n<li><strong>Ajuste conjunto<\/strong>Optimizar tanto el codificador visual como la parte del modelo ling\u00fc\u00edstico para mejorar el rendimiento de extremo a extremo.<\/li>\n\n\n\n<li><strong>Actualizaci\u00f3n eficaz de los par\u00e1metros<\/strong>Reduce los costes de formaci\u00f3n ajustando s\u00f3lo los par\u00e1metros clave de las capas.<\/li>\n<\/ul>\n\n\n\n<p><strong>Integraci\u00f3n de sistemas corporales inteligentes<\/strong>::<\/p>\n\n\n\n<div class=\"wp-block-code\"><div class=\"xhcode-toolbar\"><i class=\"xhcode-icon-codesvg\"><\/i><span>PHP<\/span><\/div><pre><code lang=\"php\" class=\"language-php\">Modelo b\u00e1sico de MedGemma\n    \u2193\ncapa de integraci\u00f3n (API Gateway)\n    \u2193\nintegraci\u00f3n de herramientas externas\n\u251c\u2500\u2500 analizador sint\u00e1ctico de datos FHIR\n\u251c\u2500\u2500 B\u00fasqueda en la base de conocimientos m\u00e9dicos\n\u251c\u2500\u2500 Interacci\u00f3n de voz Gemini Live\n\u2514\u2500 Canal de procesamiento de im\u00e1genes en tiempo real\n<\/code><\/pre><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-signgemma-\u624b\u8bed\u7406\u89e3\u7684\u591a\u6a21\u6001\u6280\u672f\u67b6\u6784\">SignGemma: arquitectura t\u00e9cnica multimodal para la comprensi\u00f3n del lenguaje de signos<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-\u6280\u672f\u7a81\u7834\u4e0e\u6311\u6218\u89e3\u51b3\">Avances tecnol\u00f3gicos y soluciones a los retos<\/h3>\n\n\n\n<p>SignGemma aborda varios retos t\u00e9cnicos fundamentales en el campo del reconocimiento del lenguaje de signos:<\/p>\n\n\n\n<p><strong>Soporte multiling\u00fce de lenguaje de signos y dialectos<\/strong>::<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Creaci\u00f3n de un conjunto de datos multiling\u00fces a gran escala sobre las principales lenguas de signos, como el ASL y el BSL.<\/li>\n\n\n\n<li>Dise\u00f1o de representaciones interling\u00fc\u00edsticas de rasgos del lenguaje de signos para facilitar la alineaci\u00f3n sem\u00e1ntica entre distintos sistemas de lenguaje de signos.<\/li>\n\n\n\n<li>Conversi\u00f3n de texto de ASL a ingl\u00e9s de gran precisi\u00f3n, con \u00edndices de exactitud que superan con creces las soluciones existentes.<\/li>\n<\/ul>\n\n\n\n<p><strong>Optimizaci\u00f3n de la capacidad de procesamiento en tiempo real<\/strong>::<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Modelizaci\u00f3n de secuencias visuales: tratamiento de las propiedades de las secuencias temporales y de la variaci\u00f3n espacial de la forma de las manos en el lenguaje de signos<\/li>\n\n\n\n<li>Comprensi\u00f3n sem\u00e1ntica contextual: combinaci\u00f3n de informaci\u00f3n multidimensional como la forma de las manos, los gestos y las expresiones faciales.<\/li>\n\n\n\n<li>Razonamiento de baja latencia: optimizaci\u00f3n de arquitecturas de modelos para soportar escenarios de interacci\u00f3n en tiempo real<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-\u6280\u672f\u67b6\u6784\u4e0e\u5e94\u7528\u96c6\u6210\">Arquitectura tecnol\u00f3gica e integraci\u00f3n de aplicaciones<\/h3>\n\n\n\n<p>El valor fundamental de SignGemma es proporcionar apoyo t\u00e9cnico accesible a la comunidad de discapacitados auditivos, y su aplicaci\u00f3n t\u00e9cnica implica:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Tratamiento multimodal de la informaci\u00f3n<\/strong>: Combinaci\u00f3n del reconocimiento de la forma de la mano, el an\u00e1lisis de la secuencia de movimientos y la comprensi\u00f3n de la expresi\u00f3n<\/li>\n\n\n\n<li><strong>Mecanismo de asignaci\u00f3n sem\u00e1ntica<\/strong>: Establecimiento de una correspondencia entre las estructuras gramaticales del lenguaje de signos y el lenguaje natural<\/li>\n\n\n\n<li><strong>Capacidad de adaptaci\u00f3n personalizada<\/strong>Compatibilidad con los distintos h\u00e1bitos y estilos de expresi\u00f3n del lenguaje de signos de los usuarios<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/05\/SignGemma.mp4\"><\/video><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-dolphingemma-\u8de8\u7269\u79cd\u8bed\u8a00\u5efa\u6a21\u7684\u79d1\u5b66\u7a81\u7834\">DolphinGemma: un avance cient\u00edfico en la modelizaci\u00f3n del lenguaje entre especies<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-\u58f0\u5b66\u5efa\u6a21\u7684\u6280\u672f\u521b\u65b0\">Innovaciones tecnol\u00f3gicas en modelizaci\u00f3n ac\u00fastica<\/h3>\n\n\n\n<p>DolphinGemma representa un importante avance en el campo de la investigaci\u00f3n ac\u00fastica animal mediante tecnolog\u00eda de IA, y su arquitectura t\u00e9cnica se caracteriza por los siguientes rasgos:<\/p>\n\n\n\n<p><strong>Ingenier\u00eda de caracterizaci\u00f3n ac\u00fastica<\/strong>::<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>an\u00e1lisis en el dominio del tiempo<\/strong>: Procesamiento de las propiedades de las series temporales de sonidos de delfines para reconocer distintos tipos de patrones sonoros<\/li>\n\n\n\n<li><strong>caracter\u00edstica en el dominio de la frecuencia<\/strong>: An\u00e1lisis de par\u00e1metros ac\u00fasticos clave como las variaciones de frecuencia de los silbidos, los intervalos de tiempo de los impulsos, etc.<\/li>\n\n\n\n<li><strong>modelado de secuencias<\/strong>Predicci\u00f3n del desarrollo posterior de secuencias sonoras y generaci\u00f3n de clips sonoros que se ajusten a los patrones de comunicaci\u00f3n de los delfines.<\/li>\n<\/ul>\n\n\n\n<p><strong>Reconocimiento profesional del tipo de voz<\/strong>::<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Tipo de sonido<\/th><th>caracter\u00edstica funcional<\/th><th>Tratamientos t\u00e9cnicos<\/th><th>valor aplicado<\/th><\/tr><\/thead><tbody><tr><td>silbato de firma<\/td><td>Identificaci\u00f3n individual<\/td><td>reconocimiento de patrones espectrales<\/td><td>Estudios individuales de seguimiento<\/td><\/tr><tr><td>pulso de r\u00e1faga<\/td><td>Se\u00f1ales de interacci\u00f3n social<\/td><td>An\u00e1lisis de patrones temporales<\/td><td>Estudios de comportamiento<\/td><\/tr><tr><td>sonido de clic<\/td><td>Sonar ecol\u00f3gico<\/td><td>An\u00e1lisis del intervalo de pulsaciones<\/td><td>Estudios de interacci\u00f3n medioambiental<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-chat\u7cfb\u7edf\u96c6\u6210\u4e0e\u4ea4\u4e92\u5b9e\u9a8c\">Experimento de integraci\u00f3n e interacci\u00f3n del sistema CHAT<\/h3>\n\n\n\n<p><strong>Arquitectura de interacci\u00f3n tripartita hombre-m\u00e1quina-delf\u00edn<\/strong>::<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Generaci\u00f3n de silbatos sint\u00e9ticos<\/strong>: DolphinGemma genera silbidos artificiales que representan objetos espec\u00edficos<\/li>\n\n\n\n<li><strong>Imitaci\u00f3n del reconocimiento de comportamientos<\/strong>Reconocimiento de la imitaci\u00f3n y la variaci\u00f3n de los delfines en sonidos de silbato sint\u00e9ticos<\/li>\n\n\n\n<li><strong>Sistema de informaci\u00f3n en tiempo real<\/strong>: Informaci\u00f3n instant\u00e1nea sobre la \"traducci\u00f3n\" para investigadores a trav\u00e9s de auriculares de conducci\u00f3n \u00f3sea<\/li>\n\n\n\n<li><strong>glosario construcci\u00f3n<\/strong>Hacia un sistema simb\u00f3lico com\u00fan entre humanos y delfines<\/li>\n<\/ul>\n\n\n\n<p>Detalles:<a href=\"https:\/\/blog.google\/technology\/ai\/dolphingemma\/\">https:\/\/blog.google\/technology\/ai\/dolphingemma\/<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-\u79d1\u5b66\u7814\u7a76\u4ef7\u503c\u4e0e\u65b9\u6cd5\u8bba\u7a81\u7834\">Valores de la investigaci\u00f3n cient\u00edfica y avances metodol\u00f3gicos<\/h3>\n\n\n\n<p>El avance tecnol\u00f3gico de DolphinGemma proporciona nuevas herramientas metodol\u00f3gicas para la investigaci\u00f3n en ciencia cognitiva animal:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Capacidad de an\u00e1lisis cuantitativo<\/strong>La comunicaci\u00f3n vocal de los delfines: de la observaci\u00f3n cualitativa al an\u00e1lisis cuantitativo<\/li>\n\n\n\n<li><strong>modelizaci\u00f3n predictiva<\/strong>Predicci\u00f3n de patrones de respuesta ac\u00fastica de los delfines a partir de datos hist\u00f3ricos<\/li>\n\n\n\n<li><strong>Estudios transversales<\/strong>: An\u00e1lisis de las diferencias vocales y las caracter\u00edsticas comunes de los distintos grupos de delfines<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/05\/DolphinGemma.mp4\"><\/video><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-\u6280\u672f\u53d1\u5c55\u8d8b\u52bf\u4e0e\u5de5\u7a0b\u5316\u6311\u6218\">Tendencias tecnol\u00f3gicas y retos de ingenier\u00eda<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-\u4e13\u4e1a\u5316\u6a21\u578b\u7684\u6280\u672f\u6f14\u8fdb\u65b9\u5411\">Direcci\u00f3n de la evoluci\u00f3n tecnol\u00f3gica de los modelos de especializaci\u00f3n<\/h3>\n\n\n\n<p><strong>Optimizaci\u00f3n de la eficiencia computacional<\/strong>::<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>T\u00e9cnicas de compresi\u00f3n de modelos: reducir a\u00fan m\u00e1s los costes de implantaci\u00f3n mediante la destilaci\u00f3n de conocimientos, la poda, etc.<\/li>\n\n\n\n<li>Aceleraci\u00f3n del razonamiento: optimizado para plataformas de hardware espec\u00edficas con el fin de mejorar la velocidad de razonamiento.<\/li>\n\n\n\n<li>Optimizaci\u00f3n de la memoria: reducci\u00f3n de la huella de memoria del modelo para soportar una gama m\u00e1s amplia de entornos de implantaci\u00f3n.<\/li>\n<\/ul>\n\n\n\n<p><strong>Profundizar en la integraci\u00f3n multimodal<\/strong>::<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Mecanismos de atenci\u00f3n intermodal: potenciaci\u00f3n de la fusi\u00f3n de informaci\u00f3n modal diferente<\/li>\n\n\n\n<li>Aprendizaje de representaciones unificadas: construcci\u00f3n de un espacio sem\u00e1ntico unificado entre modalidades<\/li>\n\n\n\n<li>Optimizaci\u00f3n de extremo a extremo: optimizaci\u00f3n completa del enlace desde la entrada bruta hasta la salida final.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-\u4ea7\u4e1a\u5316\u843d\u5730\u7684\u5173\u952e\u56e0\u7d20\">Factores clave para la industrializaci\u00f3n sobre el terreno<\/h3>\n\n\n\n<p><strong>Calidad de los datos y etiquetado<\/strong>: El acceso a los datos y su etiquetado de alta calidad en campos especializados siguen siendo factores limitantes, y es necesario establecer un mejor ecosistema de datos.<\/p>\n\n\n\n<p><strong>Cumplimiento y seguridad<\/strong>Recomendaci\u00f3n: Especialmente en \u00e1mbitos sensibles como la sanidad, es necesario establecer mecanismos s\u00f3lidos para la validaci\u00f3n de modelos, la evaluaci\u00f3n de la seguridad y la revisi\u00f3n de la conformidad.<\/p>\n\n\n\n<p><strong>Creaci\u00f3n de ecosistemas<\/strong>Los modelos especializados deben integrarse a fondo con los sistemas industriales existentes, lo que requiere un mejor dise\u00f1o de las API e interfaces normalizadas.<\/p>\n\n\n\n<p>Los avances tecnol\u00f3gicos de estos tres modelos especializados de Gemma proporcionan una v\u00eda de ingenier\u00eda factible para la aplicaci\u00f3n en profundidad de la tecnolog\u00eda de IA en dominios verticales, y su exitosa experiencia constituir\u00e1 una importante referencia para el posterior desarrollo de m\u00e1s modelos especializados.<\/p>\n\n\n\n<table style=\"width: 100%;border-collapse: collapse;border: 1px solid #ddd\">\r\n<thead>\r\n<tr style=\"height: 48px;background-color: #f5f5f5\">\r\n<th style=\"width: 50%;height: 48px;border: 1px solid #ddd;padding: 8px\">\r\n<h4 style=\"margin: 0\">Para m\u00e1s productos, visite<\/h4>\r\n<\/th>\r\n<th style=\"width: 50%;height: 48px;border: 1px solid #ddd;padding: 8px\">\r\n<h4 style=\"margin: 0\">M\u00e1s informaci\u00f3n en<\/h4>\r\n<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr style=\"height: 63px\">\r\n<td style=\"width: 50%;height: 63px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.myshirtai.com\/es\/\" data-linktype=\"2\">ShirtAI - Inteligencia penetrante<\/a><\/td>\r\n<td style=\"width: 50%;height: 63px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.myshirtai.com\/es\/archives\/4425\/\" data-linktype=\"2\">El Gran Modelo AIGC: el comienzo de una era de doble revoluci\u00f3n en ingenier\u00eda y ciencia - Inteligencia Penetrante<\/a><\/td>\r\n<\/tr>\r\n<tr style=\"height: 61px\">\r\n<td style=\"width: 50%;height: 61px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.myshirtai.com\/es\/\" data-linktype=\"2\">Restauraci\u00f3n 1:1 de Claude y GPT Sitio web oficial - AI Cloud Native<\/a><\/td>\r\n<td style=\"width: 50%;height: 61px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.bluelsqkj.com\/archives\/2876\" data-linktype=\"2\">Live Match App Global HD Sports Viewing Player (Recomendada) - Blueshirt Technology<\/a><\/td>\r\n<\/tr>\r\n<tr style=\"height: 54px\">\r\n<td style=\"width: 50%;height: 54px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/api.mygptmeta.com\/\" data-linktype=\"2\">Servicio de tr\u00e1nsito basado en la API oficial - GPTMeta API<\/a><\/td>\r\n<td style=\"width: 50%;height: 54px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.zhihu.com\/question\/621055223\/answer\/3633615705\" data-linktype=\"2\">Ayuda, \u00bfalguien de ustedes puede proporcionar algunos consejos sobre c\u00f3mo hacer preguntas en GPT? - Conocimientos<\/a><\/td>\r\n<\/tr>\r\n<tr style=\"height: 70px\">\r\n<td style=\"width: 50%;height: 70px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/shop.blueshirtmap.com\/\" data-linktype=\"2\">Tienda digital global de bienes virtuales - Global SmarTone (Feng Ling Ge)<\/a><\/td>\r\n<td style=\"width: 50%;height: 70px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.bilibili.com\/video\/BV1efpneYE54\/?spm_id_from=333.1387.homepage.video_card.click\" data-linktype=\"2\">\u00bfQu\u00e9 tan poderoso es Claude airtfacts caracter\u00edstica que GPT al instante no huele bien? -BeepBeep<\/a><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>","protected":false},"excerpt":{"rendered":"<p>Los tres nuevos modelos especializados Gemma de Google -MedGemma, SignGemma y DolphinGemma- representan un cambio importante en los modelos de IA, que pasan de la generalidad a la adaptaci\u00f3n vertical profunda a los dominios. MedGemma se centra en escenarios m\u00e9dicos y ofrece capacidades de razonamiento multimodal de im\u00e1genes y texto de alta precisi\u00f3n; SignGemma apoya la traducci\u00f3n multiling\u00fce del lenguaje de signos para ayudar a comunicarse a los grupos con deficiencias auditivas; y DolphinGemma explora la s\u00edntesis del habla de los delfines para fomentar la investigaci\u00f3n de la comunicaci\u00f3n entre especies. Estos modelos mejoran el rendimiento profesional al tiempo que tienen en cuenta la eficiencia computacional y la comodidad de despliegue, proporcionando una nueva v\u00eda para la industrializaci\u00f3n de la IA.<\/p>","protected":false},"author":1,"featured_media":6450,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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