{"id":3108,"date":"2025-10-06T16:06:30","date_gmt":"2025-10-06T14:06:30","guid":{"rendered":"https:\/\/tecnologia.euroinnova.com\/google-lanza-gemini-el-nuevo-modelo-de-ia-que-puedes-probar-ahora-mismo\/"},"modified":"2026-08-05T11:03:28","modified_gmt":"2026-08-05T09:03:28","slug":"google-gemini","status":"publish","type":"post","link":"https:\/\/tecnologia.euroinnova.com\/en\/google-gemini","title":{"rendered":"Google launches Gemini: the new AI model you can try right now"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Google is stepping up its commitment to artificial intelligence by highlighting a highly promising tool it has been working on for years: Gemini. Google Gemini aims to position itself as <strong>the best artificial intelligence model that has ever existed. <\/strong><\/span><\/p>\n<p><span style=\"font-weight: 400;\">It is a clear demonstration of the high level of competitiveness and thirst for innovation amongst companies dedicated to the development of AI; in particular, it highlights the struggle between <strong>OpenAI<\/strong> and Google for taking the crown in artificial intelligence.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Although it could be argued that full credit for Gemini cannot be attributed entirely to Google, but rather to <strong>DeepMind<\/strong>, a company specialising in artificial intelligence that was acquired by Google (or Alphabet, its parent company) in 2014.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this Euroinnova article, we\u2019ll tell you everything we know so far about Google Gemini. We\u2019ll explain the differences between each of its variants, how it works and what sets it apart from its main competitor, GPT-4. We\u2019ll also tell you <strong>How to try out Gemini on Google\u2019s chatbot, Bard.<\/strong><\/span><\/p>\n<h2 id=\"gemini-pro-vs-gemini-ultra-vs-gemini-nano\"><span style=\"font-weight: 400;\">Gemini Pro vs. Gemini Ultra vs. Gemini Nano<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Google has announced the launch of Gemini in three different formats, which it has named Gemini Nano, Gemini Ultra and Gemini Pro. Each has its own specific features and unique operating modes, which we could discuss at length. However, for the sake of practicality, we shall limit ourselves to comparing the approaches taken by each product in the Gemini family.<\/span><\/p>\n<h3 id=\"nano\"><span style=\"font-weight: 400;\">Nano<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Nano is Gemini\u2019s lightest and least powerful range, designed primarily for use on mobile devices. There are two versions of Nano:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><strong>Nano-1:<\/strong><span style=\"font-weight: 400;\"> It can handle up to almost two billion parameters. It is designed for devices with limited memory.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><strong>Nano-2:<\/strong><span style=\"font-weight: 400;\"> It is capable of processing three billion parameters. It is designed for devices with a high storage capacity.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Gemini Nano will be the member of the family that is to be implemented on the mobile phone <strong>Google Pixel 8 Pro.<\/strong> The integration of this advanced AI model will be particularly noticeable in the camera. Therefore, <strong>significantly improves the camera\u2019s performance<\/strong> in low-light conditions and autofocus, as well as automating settings to capture the best photos in every situation. It will also introduce new features for photo and video editing.<\/span><\/p>\n<h3 id=\"pro\"><span style=\"font-weight: 400;\">Pro<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Gemini\u2019s Pro mode is the mid-range model that sits between its younger sibling, the Nano, and its older sibling, the Ultra. We can currently see what this model is capable of using the Bard tool. <strong>In December 2023, Google integrated Gemini Pro into Bard<\/strong>, boosting its performance compared to ChatGPT.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ever since Google launched Bard to compete with OpenAI, Bard has been completely overshadowed by the popularity and positive reviews of the renowned ChatGPT, particularly following the launch of GPT 3.5. However, this could change radically thanks to Gemini\u2019s Pro mode.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>Would you like to put Gemini Pro\u2019s potential to the test?<\/strong> All you have to do is <\/span><a href=\"https:\/\/bard.google.com\/chat\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">access the Bard chatbot<\/span><\/a><span style=\"font-weight: 400;\"> and sign up to find out.<\/span><\/p>\n<h3 id=\"ultra\"><span style=\"font-weight: 400;\">Ultra<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">It is the most powerful version yet, which is set to outperform GPT-4 on many fronts, according to Google\u2019s estimates and experimental tests. Whilst GPT-4 already does a superb job of processing the context of words and images, Gemini goes a huge step further by being able to <strong>to distinguish very subtle nuances in data provided in a wide variety of formats, such as text, images, audio and video.\u00a0<\/strong><\/span><\/p>\n<p><span style=\"font-weight: 400;\">Furthermore, it demonstrates a better understanding of <strong>very complex issues<\/strong>, such as maths or physics. It is also predicted that it will be able to answer any questions we ask in real time, with minimal latency.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Although Gemini Ultra is not currently available for use, Google has announced that it will definitely be implementing it in its Bard chatbot, which will be renamed <strong>Bard Advanced.<\/strong><\/span><\/p>\n<h2 id=\"como-funcionan-los-modelos-de-inteligencia-artificial-de-gemini\"><span style=\"font-weight: 400;\">How do Gemini\u2019s artificial intelligence models work?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Gemini\u2019s models are based on <strong>transformers that the Google team has optimised<\/strong> in order to train them reliably on a large scale and carry out inferences \u2013 that is, process new data \u2013 using Google\u2019s Tensor Processing Units (TPUs).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Gemini\u2019s multimodal models are capable of processing long texts of up to 32,000 words and use mechanisms and <strong>AI modelling techniques<\/strong> such as MQA (Multiquery Attention).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As well as handling text with ease \u2013 something we already see in AI text generators such as ChatGPT and Bing \u2013 Gemini can work with a variety of <\/span><strong><em>inputs<\/em><\/strong><span style=\"font-weight: 400;\"><strong> in audio and graphic format<\/strong> such as images, graphics, screenshots, PDFs and videos. In turn, they produce <\/span><em><span style=\"font-weight: 400;\">outputs<\/span><\/em><span style=\"font-weight: 400;\"> in both text and image formats. This visual encoding is made possible by a number of advanced modelling techniques also developed within Google, such as Flamingo and<strong> PaLI.<\/strong><\/span><\/p>\n<p><span style=\"font-weight: 400;\">When it comes to video processing, Gemini treats videos as sequences of frames in a wide range of resolutions that can be interwoven with text and audio.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The Gemini product family has been developed on the basis of <a href=\"https:\/\/tecnologia.euroinnova.com\/en\/deep-learning-algorithms\/\" target=\"_blank\" rel=\"noopener\">machine learning algorithms<\/a> enhanced by infrastructure and vast sets of proprietary data.\u00a0<\/span><\/p>\n<h2 id=\"diferencias-entre-gemini-y-gpt-4\"><span style=\"font-weight: 400;\">Differences between Gemini and GPT-4<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">If there\u2019s one thing DeepMind and Google take pride in, it\u2019s having surpassed OpenAI\u2019s most advanced multimodal language model, GPT-4, in terms of general capabilities. In fact, the first thing you\u2019ll see when you visit the Gemini website is a statistical showcase of Gemini\u2019s outstanding performance results compared to those of the GPT model.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Thus, <strong>Gemini Ultra outperforms GPT-4 in many respects:<\/strong><\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Answers to questions on various topics.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Reading comprehension.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Solving arithmetic operations and mathematical problems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Programming in Python.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Reasoning in multidisciplinary tasks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Image processing.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Document processing.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Mathematical reasoning in graphical contexts.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Subtitled.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Answers to frequently asked questions in video format.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Automatic audio translation.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Speech recognition and processing.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Among the significant improvements that Gemini Ultra offers over its competitor, one that stands out is <a href=\"https:\/\/tecnologia.euroinnova.com\/en\/image-recognition\/\" target=\"_blank\" rel=\"noopener\">image recognition<\/a> and the processing of audiovisual formats. So far, we have mainly experimented with text-based formats, rather than audiovisual ones. This innovation would go a long way towards enabling AI models to better understand and interpret data in visual and auditory formats.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Another factor in Google\u2019s favour is that Gemini, as a Google-branded product, would have access to the entire database of information provided by the world\u2019s leading search engine in much of the world. <strong>It is estimated that Google stores up to 15 exabytes in its databases<\/strong> (one exabyte is equivalent to one trillion bytes) of storage, and this figure is rising every second. In other words, Gemini\u2019s models are trained using an almost infinite and unrivalled sea of data.<\/span><\/p>\n<h2 id=\"conclusiones-se-materializaran-las-expectativas-de-gemini\"><span style=\"font-weight: 400;\">Conclusions: Will Gemini\u2019s expectations be realised?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Whilst the launch of Google Gemini represents a significant milestone in the field of artificial intelligence, we cannot yet confirm that Gemini Ultra will live up to the high expectations it is generating. With its advanced multimodal capabilities \u2013 should it live up to them \u2013 Gemini would mark a major step forward by integrating visual and auditory data, and Google\u2019s vast database would enhance its training with a virtually unrivalled amount of information.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Google redobla la apuesta por la inteligencia artificial haci\u00e9ndose eco de una herramienta muy prometedora en el que lleva a\u00f1os [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":569,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","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":"","ast-disable-related-posts":"","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-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3108","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sin-categorizar"],"acf":[],"_links":{"self":[{"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/posts\/3108","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/comments?post=3108"}],"version-history":[{"count":0,"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/posts\/3108\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/media\/569"}],"wp:attachment":[{"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/media?parent=3108"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/categories?post=3108"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tecnologia.euroinnova.com\/en\/wp-json\/wp\/v2\/tags?post=3108"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}