{"id":190365,"date":"2024-10-16T06:30:00","date_gmt":"2024-10-16T05:30:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=190365"},"modified":"2024-10-17T13:16:54","modified_gmt":"2024-10-17T12:16:54","slug":"all-about-llama","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/all-about-llama","title":{"rendered":"LLaMa: everything about Meta&#8217;s language model"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"190365\" class=\"elementor elementor-190365\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-46cdbf7 e-flex e-con-boxed e-con\" data-id=\"46cdbf7\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b6f2bdb elementor-widget elementor-widget-heading\" data-id=\"b6f2bdb\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\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><p class=\"elementor-heading-title elementor-size-default\">Against all odds, LLaMa, the artificial intelligence model proposed by Meta, is experiencing remarkable success. It risks overshadowing ChatGPT, Google Gemini, and other stars in the field. How can we explain this rapid and sudden rise in popularity?\n<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5a94349 elementor-widget elementor-widget-text-editor\" data-id=\"5a94349\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<span style=\"font-weight: 400;\">For a success, it&#8217;s indeed a success. By the end of August 2024, LLaMa had recorded 350 million downloads, smashing records in terms of <a href=\"https:\/\/datascientest.com\/en\/large-language-models-llm-everything-you-need-to-know\">LLM (Large Language Model<\/a> \u2013 a model designed to understand and generate natural language text, trained on a vast volume of documents).\n\n<span style=\"font-weight: 400;\">As an LLM, <a href=\"https:\/\/datascientest.com\/en\/meta-goes-head-to-head-with-openai-and-gpt-4\">LLaMa is comparable to GPT<\/a>, the model on which <a href=\"https:\/\/datascientest.com\/en\/chatgpt-how-does-this-nlp-algorithm-work\">ChatGPT<\/a> is based, or DeepMind, the one <a href=\"https:\/\/datascientest.com\/en\/what-is-google-gemini\">Google Gemini<\/a> is based on. However, it aims to be different&#8230;<\/span>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7fa7f52 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"7fa7f52\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Follow a course in Machine Learning Engineering<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-168529f e-flex e-con-boxed e-con\" data-id=\"168529f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a78b77b elementor-widget elementor-widget-heading\" data-id=\"a78b77b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">LLaMa, the Crusader of Open Source<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-59c4f27 elementor-widget elementor-widget-text-editor\" data-id=\"59c4f27\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">What characterizes LLaMa is that it is an <\/span><b>open source LLM<\/b><span style=\"font-weight: 400;\">. This means it is accessible for free, but also that anyone can intervene in the code and refine certain aspects. An open-source project can <\/span><b>benefit from the contributions of thousands of top-notch developers<\/b><span style=\"font-weight: 400;\">. This is one of the aspects that made Linux popular: security was enhanced by armies of vigilant contributors.<\/span><\/p><p><span style=\"font-weight: 400;\">For the user, an advantage is that it is possible to download it entirely to one&#8217;s computer \u2013 although a powerful setup is required for the most advanced version \u2013 and thus use it without an Internet connection. One just needs to be aware that its knowledge is limited to December 2023.<\/span><\/p><p><span style=\"font-weight: 400;\">Nevertheless, LLaMa is an LLM produced by Meta, the company that manages <\/span><b>Facebook<\/b><span style=\"font-weight: 400;\">, <\/span><b>Instagram<\/b><span style=\"font-weight: 400;\">, and <\/span><b>WhatsApp<\/b><span style=\"font-weight: 400;\">. Hundreds of millions of dollars have been invested in its development.<\/span><\/p><p><span style=\"font-weight: 400;\">Why did Zuckerberg choose such an approach? We will come back to this.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ed88326 elementor-widget elementor-widget-image\" data-id=\"ed88326\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\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=\"1329\" height=\"666\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/10\/llama_datascientest_1.webp\" class=\"attachment-full size-full wp-image-190371\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/10\/llama_datascientest_1.webp 1329w, https:\/\/datascientest.com\/en\/files\/2024\/10\/llama_datascientest_1-300x150.webp 300w, https:\/\/datascientest.com\/en\/files\/2024\/10\/llama_datascientest_1-1024x513.webp 1024w, https:\/\/datascientest.com\/en\/files\/2024\/10\/llama_datascientest_1-768x385.webp 768w\" sizes=\"(max-width: 1329px) 100vw, 1329px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-93190dd e-flex e-con-boxed e-con\" data-id=\"93190dd\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-18fdb54 elementor-widget elementor-widget-heading\" data-id=\"18fdb54\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Acclaimed Performance<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-090446d elementor-widget elementor-widget-text-editor\" data-id=\"090446d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The open-source factor would be negligible if the performance wasn&#8217;t there. Yet, with each version, LLaMa has increased its capabilities. It&#8217;s also true that the versions followed one another quickly:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>LLaMa 1<\/b><span style=\"font-weight: 400;\">: February 2023<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>LLaMa 2<\/b><span style=\"font-weight: 400;\">: July 2023<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>LLaMa 3<\/b><span style=\"font-weight: 400;\">: April 2023 \u2013 available in two versions: 8B (8 billion parameters) and 70B (70 billion).<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>LLaMa 3.1<\/b><span style=\"font-weight: 400;\">: late July 2024<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b1c8027 elementor-widget elementor-widget-text-editor\" data-id=\"b1c8027\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">It was from version 3 that LLaMa began to receive strong praise, with some even calling it <\/span><b>&#8220;superpowerful&#8221;<\/b><span style=\"font-weight: 400;\">. Its performance has been recognized by benchmarks like MMLu. The success rates of the three main LLMs were as follows:<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0c5cb2e elementor-widget elementor-widget-html\" data-id=\"0c5cb2e\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style type=\"text\/css\">\r\n.tg  {border-collapse:collapse;border-spacing:0;}\r\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Rubik, sans-serif;font-size:14px;\r\n  overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Rubik, sans-serif;font-size:14px;\r\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg .tg-na62{font-size:18px;font-weight:bold;text-align:left;vertical-align:middle}\r\n.tg .tg-px4u{font-size:18px;text-align:right;vertical-align:middle}\r\n<\/style>\r\n<table class=\"tg\" style=\"undefined;table-layout: fixed; width: 250px\"><colgroup>\r\n<col style=\"width: 150px\">\r\n<col style=\"width: 100px\">\r\n<\/colgroup>\r\n<thead>\r\n  <tr>\r\n    <th class=\"tg-na62\"><span style=\"font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Gemini Ultra<\/span><\/th>\r\n    <th class=\"tg-px4u\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">90 %<\/span><\/th>\r\n  <\/tr><\/thead>\r\n<tbody>\r\n  <tr>\r\n    <td class=\"tg-na62\"><span style=\"font-style:normal;text-decoration:none;color:#000;background-color:transparent\">GPT-4<\/span><\/td>\r\n    <td class=\"tg-px4u\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">86 %<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-na62\"><span style=\"font-style:normal;text-decoration:none;color:#000;background-color:transparent\">LLaMa 70B<\/span><\/td>\r\n    <td class=\"tg-px4u\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">82 %<\/span><\/td>\r\n  <\/tr>\r\n<\/tbody>\r\n<\/table>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bab2907 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"bab2907\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Training in Artificial Intelligence<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bb4670e elementor-widget elementor-widget-text-editor\" data-id=\"bb4670e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">LLaMa 3.1 represented a considerable step forward, as <\/span><b>the 405B version<\/b><span style=\"font-weight: 400;\"> relies on <\/span><b>405 billion parameters<\/b><span style=\"font-weight: 400;\">. This time, in the MMLu test, the score obtained (88.6%) is just slightly lower than that of GPT-4.0 (88.7%).<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-cc4088b e-flex e-con-boxed e-con\" data-id=\"cc4088b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3c7bf38 elementor-widget elementor-widget-heading\" data-id=\"3c7bf38\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Why Did Meta Choose the Open Source Formula?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9dc0fcd elementor-widget elementor-widget-text-editor\" data-id=\"9dc0fcd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Mark Zuckerberg took advantage of LLaMa to establish himself as a supporter of the open-source formula. In reality, Meta benefits in more than one way.<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">In <\/span><b>Silicon Valley<\/b><span style=\"font-weight: 400;\">, Sun Tzu&#8217;s principles are appreciated, and one of them is: &#8220;if you can&#8217;t win on a battlefield, change the battlefield.&#8221; By <\/span><b>offering LLaMa for free<\/b><span style=\"font-weight: 400;\">, Meta undercuts its three main competitors: OpenAI, <\/span><b>Google<\/b><span style=\"font-weight: 400;\">, and Anthropic (Claude). This, before they could capture the bulk of the AI market.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Meanwhile, Meta can restore its image following the privacy negligence issues that tarnished its history.<\/span><\/li><li><span style=\"font-weight: 400;\">Due to the nature of open source, LLaMa can benefit from the <\/span><b>feedback of thousands of developers.<\/b><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-df1fd14 elementor-widget elementor-widget-image\" data-id=\"df1fd14\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1310\" height=\"669\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/10\/llama_datascientest_2.webp\" class=\"attachment-full size-full wp-image-190372\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/10\/llama_datascientest_2.webp 1310w, https:\/\/datascientest.com\/en\/files\/2024\/10\/llama_datascientest_2-300x153.webp 300w, https:\/\/datascientest.com\/en\/files\/2024\/10\/llama_datascientest_2-1024x523.webp 1024w, https:\/\/datascientest.com\/en\/files\/2024\/10\/llama_datascientest_2-768x392.webp 768w\" sizes=\"(max-width: 1310px) 100vw, 1310px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-09830bb elementor-widget elementor-widget-text-editor\" data-id=\"09830bb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The nature of <\/span><b>open source<\/b><span style=\"font-weight: 400;\"> and non-proprietary nature can reassure many companies worried that AIs like ChatGPT or Gemini might analyze their information. Thus, Samsung, Amazon, and Apple banned the use of ChatGPT as early as the end of spring 2023. The same goes for various law firms, hospitals, or government organizations.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Meta is capable of offering <\/span><b>integrating LLaMa 3<\/b><span style=\"font-weight: 400;\"> into companies for custom tasks while boasting proven technology.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Where Amazon, Microsoft, and Google have dominated the cloud, Meta finds in AI a field where it can establish itself on a large scale against other <\/span><b>GAFAM<\/b><span style=\"font-weight: 400;\">.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Zuckerberg is now interviewed as an open-source guru and can make statements such as &#8220;open-source AI will become the industry standard.&#8221; &#8221; <\/span><b>LLaMa is not a technology but an ecosystem<\/b><span style=\"font-weight: 400;\">&#8220;&#8230; In fact, LLaMa 3 was quickly integrated into the offerings of giants like Amazon Web Services and Microsoft Azure, Zoom, and AT&amp;T.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-07aeabb e-flex e-con-boxed e-con\" data-id=\"07aeabb\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-eed3307 elementor-widget elementor-widget-heading\" data-id=\"eed3307\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">In Plain Language?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0fc3743 elementor-widget elementor-widget-text-editor\" data-id=\"0fc3743\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">To reach the general public, an interface as simple to use as ChatGPT is required. It exists in the form of an app named <\/span><b>Meta AI<\/b><span style=\"font-weight: 400;\">. Just like ChatGPT, it can generate images and even animate them.<\/span><\/p><p><span style=\"font-weight: 400;\">However, what may have hindered Meta AI&#8217;s audience is that, as of early September 2024, <\/span><b>this app was not yet accessible in Europe<\/b><span style=\"font-weight: 400;\"> (officially due to regulatory issues) and therefore in France.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1a949c4 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"1a949c4\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn all about AI<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f45dbf5 e-flex e-con-boxed e-con\" data-id=\"f45dbf5\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4cab2d6 elementor-widget elementor-widget-html\" data-id=\"4cab2d6\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What is LLaMa?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"LLaMa (Large Language Model Meta AI) is a series of language models developed by Meta (formerly Facebook). 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It risks overshadowing ChatGPT, Google Gemini, and other stars in the field. How can we explain this rapid and sudden rise in popularity? For a success, it&#8217;s indeed a success. By the end of August 2024, LLaMa had recorded 350 [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":190367,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2427],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>LLaMa: everything about Meta&#039;s language model<\/title>\n<meta name=\"description\" content=\"Discover LLaMa, an advanced language model developed by Meta, which redefines the capabilities of large-scale artificial intelligence. 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It risks overshadowing ChatGPT, Google\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/en\/all-about-llama\" \/>\n<meta property=\"og:site_name\" content=\"Data Science Courses | DataScientest\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataScientestEN\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-16T05:30:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-10-17T12:16:54+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/en\/files\/2024\/10\/llama_datascientest.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Daniel\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataScientest__\" \/>\n<meta name=\"twitter:site\" content=\"@DataScientest__\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/datascientest.com\/en\/all-about-llama#article\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/en\/all-about-llama\"},\"author\":{\"name\":\"Daniel\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/5a86e30c5090234fb43dd8baa83c44b0\"},\"headline\":\"LLaMa: everything about Meta&#8217;s language model\",\"datePublished\":\"2024-10-16T05:30:00+00:00\",\"dateModified\":\"2024-10-17T12:16:54+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/datascientest.com\/en\/all-about-llama\"},\"wordCount\":745,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/datascientest.com\/en\/#organization\"},\"articleSection\":[\"Artificial Intelligence\"],\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/datascientest.com\/en\/all-about-llama#respond\"]}],\"copyrightYear\":\"2024\",\"copyrightHolder\":{\"@id\":\"https:\/\/datascientest.com\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/en\/all-about-llama\",\"url\":\"https:\/\/datascientest.com\/en\/all-about-llama\",\"name\":\"LLaMa: everything about Meta's language model\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/en\/#website\"},\"datePublished\":\"2024-10-16T05:30:00+00:00\",\"dateModified\":\"2024-10-17T12:16:54+00:00\",\"description\":\"Discover LLaMa, an advanced language model developed by Meta, which redefines the capabilities of large-scale artificial intelligence. 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