{"id":1901,"date":"2025-07-09T15:39:43","date_gmt":"2025-07-09T19:39:43","guid":{"rendered":"https:\/\/ozer.gt\/log\/?p=1901"},"modified":"2025-07-09T23:09:07","modified_gmt":"2025-07-10T03:09:07","slug":"ai-in-64-pictures-a-visual-journey","status":"publish","type":"post","link":"https:\/\/ozer.gt\/log\/2025\/07\/09\/ai-in-64-pictures-a-visual-journey\/","title":{"rendered":"AI in 64 pictures: A visual journey"},"content":{"rendered":"<p>If you&#8217;re a visual learner looking to deepen your understanding of AI and language models:<\/p>\n<p>I&#8217;ve just made the deck from my recent talk, &#8220;<a href=\"https:\/\/ozer.gt\/talks\/ai-in-64-pictures.html\">AI in 64 Pictures<\/a>,&#8221; available. It&#8217;s a visual journey through language processing: from word embeddings to RNNs, attention, and transformers.<\/p>\n<p>Understanding AI models better helps us discover more use cases and navigate their limitations. And if you&#8217;re looking to dive deeper, you can follow the links in the slides.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>If you&#8217;re a visual learner looking to deepen your understanding of AI and language models: I&#8217;ve just made the deck from my recent talk, &#8220;AI in 64 Pictures,&#8221; available. It&#8217;s a visual journey through language processing: from word embeddings to RNNs, attention, and transformers. Understanding AI models better helps us discover more use cases and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1902,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"cybocfi_hide_featured_image":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-1901","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/posts\/1901","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/comments?post=1901"}],"version-history":[{"count":6,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/posts\/1901\/revisions"}],"predecessor-version":[{"id":1911,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/posts\/1901\/revisions\/1911"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/media\/1902"}],"wp:attachment":[{"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/media?parent=1901"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/categories?post=1901"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/tags?post=1901"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}