{"id":168088,"date":"2023-05-11T16:48:58","date_gmt":"2023-05-11T15:48:58","guid":{"rendered":"https:\/\/liora.io\/en\/?p=168088"},"modified":"2026-02-06T09:03:30","modified_gmt":"2026-02-06T08:03:30","slug":"google-unveils-palm-2-its-revolutionary-ai-model","status":"publish","type":"post","link":"https:\/\/liora.io\/en\/google-unveils-palm-2-its-revolutionary-ai-model","title":{"rendered":"Google unveils PaLM 2, its revolutionary AI model"},"content":{"rendered":"<p><strong>On Wednesday, May 10th, Google held its I\/O conference, an opportunity for Google to tell more about its different projects. During this annual meeting, Google took the opportunity to unveil its new artificial intelligence model, PaLM 2.<\/strong><\/p>\n<h3>What is PaLM 2?<\/h3>\n<p>In a talk show presented by <b>Sundar Pichai<\/b>, CEO of Google, <b>PaLM 2<\/b> is an improved version of Google&#8217;s previous AI model, PaLM. Like <b>Open AI&#8217;s GPT-4<\/b> or <b>Meta&#8217;s LLaMA<\/b>, PaLM 2 is already integrated into Google Bard and offers many features.<\/p>\n<p>Wishing to make artificial intelligence <b>accessible to all<\/b>, PaLM 2 has <b>4 modes<\/b>: Gecko, Otter, Bison and Unicorn. Very little information was communicated about these modes. We only know that <b>Gecko is a mode for smartphones<\/b> and can be used even offline.<\/p>\n<p><img decoding=\"async\" width=\"800\" height=\"450\" src=\"https:\/\/liora.io\/app\/uploads\/sites\/9\/2023\/05\/google-keynote-google-i-o-23-1-26-11-screenshot-resized-1024x576.webp\" alt=\"\" loading=\"lazy\"><\/p>\n<h3>What are the capabilities of PaLM 2?<\/h3>\n<p>Developed to answer any problem, PaLM 2 was trained for several years on <b>scientific and mathematical datasets<\/b>. These same datasets also allow it to speak <b>100 languages<\/b>, including Korean and Japanese. In an example given by Pichai, PaLM 2 could <b>debug code in Japanese<\/b> if a user asked it.<\/p>\n<p>Besides very advanced general knowledge, PaLM 2 has <b>several variants<\/b>. These variants provide it with much <b>more knowledge<\/b> depending on the chosen domain. Thanks to a variant called <b>&#8220;fine-tuning&#8221;<\/b> it can answer questions and problems of <b>cybersecurity<\/b> like detecting threats or malicious scripts. Another example is <b>medicine <\/b>with <b>&#8220;Med-PaLM 2&#8221;<\/b> which allows it to interpret an X-ray image.<\/p>\n<p><img decoding=\"async\" width=\"800\" height=\"450\" src=\"https:\/\/liora.io\/app\/uploads\/sites\/9\/2023\/05\/google-keynote-google-i-o-23-1-28-9-screenshot-resized-1024x576.webp\" alt=\"\" loading=\"lazy\"><\/p>\n<p>At the end of the presentation, PaLM 2 was announced as <b>already available in a pre-release<\/b>. A final statement by Pichai said that this program is <b>already integrated in 25 Google products<\/b>, including Bard. In any case, if you enjoyed this article and want to learn more about the Google I\/O conference, or if you\u2019re considering a career in Data Science, feel free to check out <a href=\"https:\/\/liora.io\/en\/blog-en\" target=\"_blank\" rel=\"noopener\">our articles<\/a> or <a href=\"\/en\/courses\/data-ai\/\" target=\"_blank\" rel=\"noopener\">training offers<\/a> on Liora.<\/p>\n<p><i>Source : io.google <\/i><\/p>\n","protected":false},"excerpt":{"rendered":"<p>On Wednesday, May 10th, Google held its I\/O conference, an opportunity for Google to tell more about its different projects. During this annual meeting, Google took the opportunity to unveil its new artificial intelligence model, PaLM 2. What is PaLM 2? In a talk show presented by Sundar Pichai, CEO of Google, PaLM 2 is [&hellip;]<\/p>\n","protected":false},"author":74,"featured_media":168067,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"_acf_changed":false,"editor_notices":[],"footnotes":""},"categories":[2433],"class_list":["post-168088","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-ai"],"acf":[],"_links":{"self":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/168088","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/users\/74"}],"replies":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/comments?post=168088"}],"version-history":[{"count":1,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/168088\/revisions"}],"predecessor-version":[{"id":206415,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/168088\/revisions\/206415"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media\/168067"}],"wp:attachment":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media?parent=168088"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/categories?post=168088"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}