{"id":158197,"date":"2023-02-16T08:23:47","date_gmt":"2023-02-16T14:23:47","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/02\/top-5-differences-between-chatgpt-and-google-bard-ai"},"modified":"2023-02-16T08:23:47","modified_gmt":"2023-02-16T14:23:47","slug":"top-5-differences-between-chatgpt-and-google-bard-ai","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/02\/top-5-differences-between-chatgpt-and-google-bard-ai","title":{"rendered":"Top 5 Differences Between ChatGPT and Google Bard AI"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/top-5-differences-between-chatgpt-and-google-bard-ai.jpg\"><\/a><\/p>\n<p>Google developed the language model known as <a href=\"https:\/\/www.analyticsinsight.net\/google-introduces-chatgpt-like-conversational-ai-chatbot\/\">Google Bard AI<\/a> (Bidirectional Encoder Representations from Transformers) to produce high-quality text by anticipating the next word in a given phrase based on context. It is trained on a sizable corpus of text and may be tailored using smaller datasets to produce material in a particular style or domain.<\/p>\n<p>The third version of OpenAI\u2019s language model, GPT-3 (Generative Pretrained Transformer 3), was trained on enormous volumes of text data and is capable of producing text, summarising text, translating text, responding to inquiries, and carrying out a range of other natural language tasks.<\/p>\n<p>Let\u2019s take a look at the <a href=\"https:\/\/www.analyticsinsight.net\/top-10-tips-for-improving-coding-skills-with-chatgpt\/\">top 5 differences between ChatGPT and Google Bard AI<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google developed the language model known as Google Bard AI (Bidirectional Encoder Representations from Transformers) to produce high-quality text by anticipating the next word in a given phrase based on context. It is trained on a sizable corpus of text and may be tailored using smaller datasets to produce material in a particular style or [\u2026]<\/p>\n","protected":false},"author":599,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1635,6],"tags":[],"class_list":["post-158197","post","type-post","status-publish","format-standard","hentry","category-materials","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/158197","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\/599"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=158197"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/158197\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=158197"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=158197"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=158197"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}