{"id":12688,"date":"2022-07-08T12:02:33","date_gmt":"2022-07-08T16:02:33","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=12688"},"modified":"2022-07-08T12:02:33","modified_gmt":"2022-07-08T16:02:33","slug":"dall%c2%b7e-2-explained-the-promise-and-limitations-of-a-revolutionary-ai","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/dall%c2%b7e-2-explained-the-promise-and-limitations-of-a-revolutionary-ai\/12688\/","title":{"rendered":"DALL\u00b7E 2, Explained: The Promise and Limitations of a Revolutionary AI"},"content":{"rendered":"Originally published in Towards Data Science, June 16, 2022. DALL\u00b7E 2 is the newest AI model by OpenAI. If you\u2019ve seen some of its creations and think they\u2019re amazing, keep reading to understand why you\u2019re totally right \u2014 but also wrong. OpenAI published a\u00a0blog post\u00a0and a paper entitled \u201cHierarchical Text-Conditional Image Generation with CLIP Latents\u201d on DALL\u00b7E 2. The post is fine if you want to get a glimpse at the results and the paper is great for understanding the technical details, but neither explains DALL\u00b7E 2\u2019s amazingness \u2014 and the not-so-amazing \u2014 in depth. That\u2019s what this <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/dall%c2%b7e-2-explained-the-promise-and-limitations-of-a-revolutionary-ai\/12688\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Towards Data Science, June 16, 2022. DALL\u00b7E 2 is the newest AI model by OpenAI. If you\u2019ve seen some of its creations and think they\u2019re amazing, keep reading to understand why you\u2019re totally right \u2014 but also wrong. OpenAI published a\u00a0blog post\u00a0and a paper entitled \u201cHierarchical Text-Conditional Image Generation with CLIP Latents\u201d [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-12688","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12688","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=12688"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12688\/revisions"}],"predecessor-version":[{"id":12689,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12688\/revisions\/12689"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=12688"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=12688"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=12688"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}