{"id":118116,"date":"2021-01-06T16:23:13","date_gmt":"2021-01-07T00:23:13","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2021\/01\/new-module-for-openai-gpt-3-creates-unique-images-from-text"},"modified":"2021-01-06T16:23:13","modified_gmt":"2021-01-07T00:23:13","slug":"new-module-for-openai-gpt-3-creates-unique-images-from-text","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2021\/01\/new-module-for-openai-gpt-3-creates-unique-images-from-text","title":{"rendered":"New module for OpenAI GPT-3 creates unique images from text"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/new-module-for-openai-gpt-3-creates-unique-images-from-text.jpg\"><\/a><\/p>\n<p>A team of researchers at OpenAI, a San Francisco artificial intelligence development company, has added a new module to its GPT-3 autoregressive language model. Called DALL\u00b7E, the module excerpts text with multiple characteristics, analyzes it and then draws a picture based on what it believes was described. On their webpage describing the new module, the team at OpenAI describe it as \u201ca simple decoder-only transformer\u201d and note that they plan to provide more details about its architecture and how it can be used as they learn more about it themselves.<\/p>\n<p>GPT-3 was developed by the company to demonstrate how far <a href=\"https:\/\/techxplore.com\/tags\/neural+networks\/\" rel=\"tag\" class=\"\">neural networks<\/a> could take text processing and creation. It analyzes user-selected text and generates new text based on that input. For example, if a user types \u201ctell me a story about a dog that saves a child in a fire,\u201d GPT-3 can create such a story in a human-like way. The same input a second time results in the generation of another version of the story.<\/p>\n<p>In this new effort, the researchers have extended this ability to graphics. A user types in a sentence and DALL\u00b7E attempts to generate what is described using graphics and other imagery. As an example, if a user types in \u201ca dog with cat claws and a bird tail,\u201d the system would produce a cartoon-looking image of a dog with such features\u2014and not just one. It would produce a whole line of them, each created using slightly different interpretations of the original text.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A team of researchers at OpenAI, a San Francisco artificial intelligence development company, has added a new module to its GPT-3 autoregressive language model. Called DALL\u00b7E, the module excerpts text with multiple characteristics, analyzes it and then draws a picture based on what it believes was described. On their webpage describing the new module, the [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-118116","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/118116","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=118116"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/118116\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=118116"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=118116"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=118116"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}