{"id":186338,"date":"2024-06-24T06:30:00","date_gmt":"2024-06-24T05:30:00","guid":{"rendered":"https:\/\/liora.io\/en\/?p=186338"},"modified":"2026-02-06T07:57:23","modified_gmt":"2026-02-06T06:57:23","slug":"all-about-generated-pre-trained-transformers","status":"publish","type":"post","link":"https:\/\/liora.io\/en\/all-about-generated-pre-trained-transformers","title":{"rendered":"What are Generated Pre-trained Transformers (GPTs)?"},"content":{"rendered":"<style><br \/>\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style>Able to write emails for you, translate texts into different languages, code, compose poems, and more. It&#8217;s impossible to ignore ChatGPT, the generative AI from OpenAI. But are you aware of the technology it&#8217;s based on?\n\nThe Generative Pre-trained Transformer is an AI model excelling in tasks involving natural language processing. <b>Explore pre-trained generative transformers,<\/b> understand how they function, their benefits, and their limitations.\n<h3>What is a pre-trained generative transformer (GPT)?<\/h3>\nThe pre-trained generative transformer encompasses a range of <a href=\"https:\/\/liora.io\/en\/recurrent-neural-network-what-is-it\">recurrent neural network<\/a> models <b>employing transformer architecture<\/b>. This technology marks a significant milestone in the realm of generative artificial intelligence. The widespread adoption of ChatGPT is a testament to this. Since its introduction, all leading tech corporations have been vying to develop the most effective <a href=\"https:\/\/liora.io\/en\/large-language-models-llm-everything-you-need-to-know\">language model<\/a>, aiming for a human-like experience.\n\nWhy such enthusiasm? Because this machine learning model is adept at <b>executing various tasks associated with natural language processing<\/b>. Its ability to simulate conversations between humans is sometimes eerily accurate. From comprehending queries to generating assorted types of coherent and relevant texts, it enables the simulation of a conversation with a human (almost).\n\nIn doing so, users can automate a myriad of tasks: linguistic translation, document summarization, <a href=\"https:\/\/liora.io\/en\/empowering-natural-language-processing-with-hugging-face-transformers-api\">blog article creation<\/a>, social media content ideas, writing code, and even crafting poetry. There&#8217;s no need to spend countless hours on research, planning, and drafting; pre-trained generative transformers can handle these tasks in seconds.\n\n<style><br \/>\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"457\" src=\"https:\/\/liora.io\/app\/uploads\/sites\/9\/2024\/06\/Generated-Pre-trained-Transformer-GPT1.jpg\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/liora.io\/app\/uploads\/sites\/9\/2024\/06\/Generated-Pre-trained-Transformer-GPT1.jpg 800w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2024\/06\/Generated-Pre-trained-Transformer-GPT1-300x171.jpg 300w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2024\/06\/Generated-Pre-trained-Transformer-GPT1-768x439.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\">\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex is-content-justification-center\"><div class=\"wp-block-button \"><a class=\"wp-block-button__link wp-element-button \" href=\"\/en\/courses\/data-ai\/machine-learning-engineer\">Learn to develop an AI model<\/a><\/div><\/div>\n\n\n<b>Good to know:<\/b> The transformer neural network architecture isn&#8217;t entirely new. It emerged from various research efforts on natural language processing and deep learning, with the term first being introduced in the 2017 paper &#8220;Attention is All You Need&#8221;.\n<h3>How do pre-trained models work?<\/h3>\nTo achieve editorial feats comparable to (or sometimes surpassing) human capabilities, the pre-trained generative transformer relies on &#8220;transformer&#8221; neural network architecture.\n\nIt employs auto-regressive attention (or self-attention mechanism). This AI model <b>considers not just the last word to generate text but the overall context<\/b>. It can assign varying degrees of significance to words, thereby better discerning the relationships among words and sentences.\n\nUltimately, it&#8217;s this interplay of words and sentences that enables the GPT to comprehend the user&#8217;s query and deliver a <b>coherent response, both in content and form<\/b>.\n\nInitially, the GPT model was pre-trained with extensive textual data to grasp the structure, syntax, and nuances of language. Only after achieving a solid understanding of human language was the model further trained to carry out specific tasks.\n\n<b>Good to know:<\/b> Although pre-trained generative transformers generate human-like results, they remain machines. They analyze user queries and then predict the most suitable response based on their contextual understanding.\n\n<img decoding=\"async\" width=\"800\" height=\"457\" src=\"https:\/\/liora.io\/app\/uploads\/sites\/9\/2024\/06\/Generated-Pre-trained-Transformer-GPT2.jpg\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/liora.io\/app\/uploads\/sites\/9\/2024\/06\/Generated-Pre-trained-Transformer-GPT2.jpg 800w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2024\/06\/Generated-Pre-trained-Transformer-GPT2-300x171.jpg 300w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2024\/06\/Generated-Pre-trained-Transformer-GPT2-768x439.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\">\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex is-content-justification-center\"><div class=\"wp-block-button \"><a class=\"wp-block-button__link wp-element-button \" href=\"\/en\/courses\/data-ai\/deep-learning\">Mastering the use of generative AI<\/a><\/div><\/div>\n\n<h3>What are GPTs used for?<\/h3>\nWith increasing sophistication, pre-trained generative transformers can execute a broad spectrum of tasks. Below are some of their most common applications:\n<ul>\n \t<li><b>Text generation<\/b>: capable of crafting blog articles, social media posts, video scripts, emails, programming code, and more, in a variety of styles. Simply specify the desired outcome.<\/li>\n \t<li><b>Automatic translation<\/b>: trained on billions of pieces of textual data, they can translate text into any language.<\/li>\n \t<li><b>Creation of sophisticated chatbots<\/b>: acting as virtual assistants, they can <a href=\"https:\/\/liora.io\/en\/autogpt-discover-the-new-tool-that-makes-chatgpt-autonomous\">answer any question posed by users<\/a>.<\/li>\n \t<li><b>Summary extraction<\/b>: given lengthy texts, they can generate concise summaries of around a hundred words.<\/li>\n \t<li><b>Data analysis<\/b>: they can analyze vast datasets and transcribe them into tables or spreadsheets. Some tools even offer graphical representations.<\/li>\n<\/ul>\nFor users, the real advantage of pre-trained generative transformers is their <b>speed of execution<\/b>. They accomplish in seconds what would take a human hours, thus significantly boosting productivity.\n<h3>What are the limitations of pre-trained generative transformers?<\/h3>\nDespite their utility and impressive efficiency, pre-trained generative transformers have their shortcomings, notably due to the training datasets. These may <b>contain biases<\/b> &#8211; be they sexist, racist, homophobic, etc. If these biases are incorporated into the model, it will replicate them in its outputs.\n\nTherefore, it&#8217;s essential to approach its responses with caution. Ideally, verify the sources of the information (if the model provides them).\n\nTo mitigate these biases, it&#8217;s imperative to continually refine the models by feeding them unbiased data. This is a critical task for data scientists. If you&#8217;re keen on <a href=\"\/en\/courses\/data-ai\/deep-learning\">training the next GPT<\/a> to yield better results, <a href=\"\/en\/courses\/data-ai\/data-scientist\">consider getting trained in data science<\/a>.\n\n<img decoding=\"async\" width=\"800\" height=\"457\" src=\"https:\/\/liora.io\/app\/uploads\/sites\/9\/2024\/06\/Generated-Pre-trained-Transformer-GPT3.jpg\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/liora.io\/app\/uploads\/sites\/9\/2024\/06\/Generated-Pre-trained-Transformer-GPT3.jpg 800w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2024\/06\/Generated-Pre-trained-Transformer-GPT3-300x171.jpg 300w, https:\/\/liora.io\/app\/uploads\/sites\/9\/2024\/06\/Generated-Pre-trained-Transformer-GPT3-768x439.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\">\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex is-content-justification-center\"><div class=\"wp-block-button \"><a class=\"wp-block-button__link wp-element-button \" href=\"\/en\/courses\/data-ai\/\">Training with Liora<\/a><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Able to write emails for you, translate texts into different languages, code, compose poems, and more. It&#8217;s impossible to ignore ChatGPT, the generative AI from OpenAI. But are you aware of the technology it&#8217;s based on? The Generative Pre-trained Transformer is an AI model excelling in tasks involving natural language processing. Explore pre-trained generative transformers, [&hellip;]<\/p>\n","protected":false},"author":74,"featured_media":186340,"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-186338","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\/186338","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=186338"}],"version-history":[{"count":1,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/186338\/revisions"}],"predecessor-version":[{"id":205690,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/186338\/revisions\/205690"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media\/186340"}],"wp:attachment":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media?parent=186338"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/categories?post=186338"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}