{"id":280410,"date":"2024-05-07T06:13:58","date_gmt":"2024-05-07T13:13:58","guid":{"rendered":"https:\/\/sftarticles.wpenginepowered.com\/es\/?p=331849"},"modified":"2025-07-01T16:33:39","modified_gmt":"2025-07-01T23:33:39","slug":"the-new-ai-from-microsoft-is-very-very-big","status":"publish","type":"post","link":"https:\/\/cms-articles.softonic.io\/en\/the-new-ai-from-microsoft-is-very-very-big\/","title":{"rendered":"The new AI from Microsoft is very, very big"},"content":{"rendered":"\n

The AI revolution continues to advance by leaps and bounds. Microsoft<\/strong> is developing a large language model (LLM) with about 500 billion parameters<\/strong>, as reported by The Information<\/a><\/strong> in a recent article. The LLM, internally known as MAI-1<\/strong>, is expected to make its debut this month<\/strong>.<\/p>\n\n\n

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When OpenAI<\/strong> introduced GPT-3<\/strong> in mid-2020, it detailed that the initial version of the model had 175 billion parameters<\/strong>. The company revealed that GPT-4<\/a><\/strong> is larger, but has not yet shared specific figures. Some reports suggest that OpenAI’s flagship includes 1.76 trillion parameters<\/strong>, while Google’s Gemini Ultra<\/strong>, which has comparable performance to GPT-4, allegedly has 1.6 trillion<\/strong>.<\/p>\n\n\n\n

In this way, by having MAI-1 with 500 billion parameters, Microsoft’s new model could position itself as an intermediate option between GPT-3 and GPT-4. This configuration would allow the model to offer great response accuracy, but using much less energy than OpenAI’s flagship. This would result in lower inference costs for Microsoft.<\/p>\n\n\n\n

According to The Information, the development of MAI-1 is being supervised by Mustafa Suleyman<\/strong>, founder of the company dedicated to the development of LLM Inflection AI<\/strong>, and who joined Microsoft in March<\/a>, along with most of the employees of the new company. The executive previously co-founded DeepMind<\/strong>, Google’s AI research team.<\/p>\n\n\n

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With this in mind, it wouldn’t be too far-fetched to think that Microsoft is using training data and other assets from Inflection AI to power MAI-1<\/strong>. The model’s training dataset would also supposedly include various types of information, such as text generated by GPT-4 and web content. Furthermore, the Redmond-based company would be conducting the development process using a “large cluster of servers” equipped with Nvidia graphics cards<\/strong>.<\/p>\n\n\n\n

The sources from The Information indicated that the company has not yet determined how it will use the MAI-1. If the model really has 500 billion parameters, it would be too complex to run on consumer devices<\/strong>, such as mobile phones. Therefore, it is very likely that Microsoft will implement the MAI-1 in its data centers, where the LLM could be integrated into services like Bing<\/strong> and Azure<\/strong>.<\/p>\n\n\n

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The AI revolution continues to advance by leaps and bounds. Microsoft is developing a large language model (LLM) with about 500 billion parameters, as reported by The Information in a recent article. The LLM, internally known as MAI-1, is expected to make its debut this month. When OpenAI introduced GPT-3 in mid-2020, it detailed that … Continue reading “The new AI from Microsoft is very, very big”<\/span><\/a><\/p>\n","protected":false},"author":9256,"featured_media":280411,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","wpcf-pageviews":1},"categories":[1015],"tags":[],"usertag":[],"vertical":[],"content-category":[],"class_list":["post-280410","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/280410","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/users\/9256"}],"replies":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/comments?post=280410"}],"version-history":[{"count":1,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/280410\/revisions"}],"predecessor-version":[{"id":313343,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/280410\/revisions\/313343"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/media\/280411"}],"wp:attachment":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/media?parent=280410"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/categories?post=280410"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/tags?post=280410"},{"taxonomy":"usertag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/usertag?post=280410"},{"taxonomy":"vertical","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/vertical?post=280410"},{"taxonomy":"content-category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/content-category?post=280410"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}