{"id":22215,"date":"2023-12-07T16:58:34","date_gmt":"2023-12-07T09:58:34","guid":{"rendered":"https:\/\/gudjob.net\/?p=22215"},"modified":"2026-08-19T13:51:28","modified_gmt":"2026-08-19T06:51:28","slug":"google-ra-gemini-mo-hinh-ai-manh-hon-gpt-4","status":"publish","type":"post","link":"https:\/\/gudjob.net\/en\/blog\/google-ra-gemini-mo-hinh-ai-manh-hon-gpt-4\/","title":{"rendered":"Google launches Gemini \u2013 an AI model 'stronger than GPT-4'"},"content":{"rendered":"

Gemini \u2014 AI model synthesizing knowledge of 57 subjects<\/h2>\n

Gemini \u2014 AI model synthesizing knowledge of 57 subjects<\/h2>\n

Google Gemini synthesizes knowledge from 57 subjects to solve problems, being the first AI to surpass humans at the expert level.<\/p>\n

Gemini launched on the evening of December 6, is Google's most advanced and general AI model to date, competing with OpenAI's GPT-4.<\/p>\n

Unlike other popular large language models in recent times, Gemini is built in a multimodal direction, meaning it can generalize, operate and combine on many different types of information including text, code, audio, images and video.<\/p>\n

Gemini's outstanding test results<\/h2>\n

To meet flexible usage needs, from data centers to mobile devices, Google said Gemini 1.0 will be offered in three different sizes, including: Gemini Ultra, Gemini Pro and Gemini Nano.<\/p>\n

Gemini's outstanding test results<\/h2>\n

Special capabilities of the new model<\/h2>\n
\"|\"
Correlating the three dimension versions of the Gemini AI model. Image: <\/span>Google<\/em><\/i><\/figcaption><\/figure>\n

According to test results published by Google, Gemini Ultra scored 90% in the Massive Multitask Language Understanding (MMLU) test.<\/p>\n

Special capabilities of the new model<\/h2>\n

With this result, Gemini is the first AI to surpass humans at the expert level, which scored 89.8% on the same test.<\/p>\n

Additionally, this strongest version of Gemini also exceeded 30 out of 32 benchmarks in major language modeling research and development, scoring 59.4% in MMMU (massive multimodal cross-disciplinary understanding) capability, which covers multimodal tasks spanning different domains that require deliberative reasoning.<\/p>\n

Gemini Ultra and Pro versions<\/h2>\n

Demis Hassabis, CEO of Google DeepMind, representative of Gemini Team, said the company wants to build a new generation of AI models inspired by the human way of recognizing and interacting with the world.<\/p>\n

\u201cToday, we are one step closer to this vision by introducing Gemini, the most advanced and general AI model ever developed by Google,\u201d said Hassabis.<\/p>\n

In addition to strong performance, Google says Gemini 1.0 is trained to recognize text, images, sounds and more at the same time, helping it better understand nuanced information and answer questions related to complex topics.<\/p>\n

Gemini Ultra and Pro versions<\/h2>\n
\"|\"
Illustration of the types of information that Gemini can process, such as: text, photos, sounds, videos. Image: <\/span>Google<\/em><\/i><\/figcaption><\/figure>\n

According to Google, these features help Gemini read and extract information from hundreds of thousands of documents, thereby opening up the ability to create new breakthroughs in many fields, from science to finance in a short time.<\/p>\n

During the launch, Google said that Gemini Ultra version is the version for the most complex tasks and is in the process of completing safety testing before officially launching.<\/p>\n

Meanwhile, the Pro version is now used in the Bard chatbot.<\/p>\n

This is also the biggest upgrade for Bard since its launch.<\/p>\n

Luu Quy \u2013 VnExpress<\/p>","protected":false},"excerpt":{"rendered":"

Gemini \u2014 m\u00f4 h\u00ecnh AI t\u1ed5ng h\u1ee3p ki\u1ebfn th\u1ee9c 57 m\u00f4n h\u1ecdc Gemini \u2014 m\u00f4 h\u00ecnh AI t\u1ed5ng h\u1ee3p ki\u1ebfn th\u1ee9c 57 m\u00f4n h\u1ecdc Google Gemini t\u1ed5ng h\u1ee3p ki\u1ebfn th\u1ee9c t\u1eeb 57 m\u00f4n h\u1ecdc \u0111\u1ec3 gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1, l\u00e0 AI \u0111\u1ea7u ti\u00ean v\u01b0\u1ee3t con ng\u01b0\u1eddi \u1edf c\u1ea5p \u0111\u1ed9 chuy\u00ean gia. Gemini ra m\u1eaft t\u1ed1i […]<\/p>\n","protected":false},"author":1,"featured_media":22332,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"wpai_generated_summary":"","footnotes":""},"categories":[174],"tags":[179,182,185],"class_list":["post-22215","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-cong-nghe","tag-ai","tag-cong-nghe","tag-google"],"acf":[],"_links":{"self":[{"href":"https:\/\/gudjob.net\/en\/wp-json\/wp\/v2\/posts\/22215","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gudjob.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gudjob.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gudjob.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/gudjob.net\/en\/wp-json\/wp\/v2\/comments?post=22215"}],"version-history":[{"count":3,"href":"https:\/\/gudjob.net\/en\/wp-json\/wp\/v2\/posts\/22215\/revisions"}],"predecessor-version":[{"id":23162,"href":"https:\/\/gudjob.net\/en\/wp-json\/wp\/v2\/posts\/22215\/revisions\/23162"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gudjob.net\/en\/wp-json\/wp\/v2\/media\/22332"}],"wp:attachment":[{"href":"https:\/\/gudjob.net\/en\/wp-json\/wp\/v2\/media?parent=22215"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gudjob.net\/en\/wp-json\/wp\/v2\/categories?post=22215"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gudjob.net\/en\/wp-json\/wp\/v2\/tags?post=22215"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}