{"id":8442,"date":"2024-08-14T13:51:21","date_gmt":"2024-08-14T11:51:21","guid":{"rendered":"http:\/\/nextbrain.ai\/?p=8442"},"modified":"2024-05-31T15:37:41","modified_gmt":"2024-05-31T13:37:41","slug":"understanding-large-vs-small-language-models-difference","status":"publish","type":"post","link":"https:\/\/nextbrain.ai\/fr\/blog\/understanding-large-vs-small-language-models-difference","title":{"rendered":"Comprendre la diff\u00e9rence entre les grands et les petits mod\u00e8les de langage"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"8442\" class=\"elementor elementor-8442\">\n\t\t\t\t<div class=\"elementor-element elementor-element-929da71 e-flex e-con-boxed e-con e-parent\" data-id=\"929da71\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-39a56c5 e-con-full e-flex e-con e-child\" data-id=\"39a56c5\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-40dfc58 elementor-widget elementor-widget-text-editor\" data-id=\"40dfc58\" data-element_type=\"widget\" data-e-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\t\t<p>Language models have significantly advanced from simple rule-based systems to sophisticated neural networks. Early models, like the 1966 &#8220;ELIZA&#8221; program, were groundbreaking but limited in understanding language nuances.<\/p><p>The 2010s saw the emergence of Large Language Models (LLMs) such as GPT-3 and BERT, using vast texts and computational power to generate coherent, contextually relevant text.<\/p><p>More recently, Small Language Models (SLMs) like Google\u2019s TinyBERT have emerged, designed for efficiency and suitable for resource-constrained devices.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ac9f39c e-con-full e-flex e-con e-child\" data-id=\"ac9f39c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-427d659 elementor-widget elementor-widget-image\" data-id=\"427d659\" data-element_type=\"widget\" data-e-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 fetchpriority=\"high\" decoding=\"async\" width=\"300\" height=\"300\" src=\"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/LLMs-300x300.png\" class=\"attachment-medium size-medium wp-image-8443\" alt=\"LLMs\" srcset=\"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/LLMs-300x300.png 300w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/LLMs-1024x1024.png 1024w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/LLMs-150x150.png 150w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/LLMs-768x768.png 768w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/LLMs-12x12.png 12w, https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/LLMs.png 1080w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>\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>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c4375b9 e-flex e-con-boxed e-con e-parent\" data-id=\"c4375b9\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-95cbb75 elementor-widget elementor-widget-text-editor\" data-id=\"95cbb75\" data-element_type=\"widget\" data-e-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\t\t<p>LLMs are advanced AI models trained on extensive datasets, utilizing deep neural networks. They excel in generating coherent, contextually rich text and are used in complex language processing applications, including chatbots, language translation, and content generation.<\/p><p>SLMs are compact models optimized for efficiency. Trained on smaller datasets, they are designed for environments with limited computational resources. Despite being less powerful than LLMs, they perform effectively in language processing tasks, making them ideal for mobile and IoT applications.<\/p>\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-eefdbba e-flex e-con-boxed e-con e-parent\" data-id=\"eefdbba\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ae33a9f elementor-widget elementor-widget-text-editor\" data-id=\"ae33a9f\" data-element_type=\"widget\" data-e-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\t\t<h3>Key Differences Between LLMs and SLMs<\/h3><p>\u00a0<\/p><ul><li><strong>Size and Complexity: <\/strong>LLMs, such as GPT-4, have complex architectures with billions of parameters, providing advanced language understanding. In contrast, SLMs have fewer parameters, making them more efficient but with limited language processing abilities.<\/li><li><strong>Training and Data Requirements: <\/strong>LLMs require training on large, diverse datasets for comprehensive language understanding. SLMs are trained on more specific datasets, resulting in focused but less diverse knowledge.<\/li><li><strong>Natural Language Processing Abilities: <\/strong>LLMs demonstrate superior NLP abilities due to their exposure to a vast array of linguistic patterns. SLMs have narrower NLP capabilities due to limited training data.<\/li><li><strong>Computational and Deployment Requirements: <\/strong>LLMs demand significant computational resources, suitable for high-power environments. SLMs are tailored for low-resource settings, ensuring wider accessibility and ease of deployment.<\/li><li><strong>Performance and Efficiency: <\/strong>LLMs excel in accuracy and handling complex tasks but are less efficient in computational and energy usage. SLMs, while slightly less adept at complex tasks, are more efficient in terms of energy and computational resources.<\/li><li><strong>Applications and Strengths: <\/strong>LLMs are ideal for advanced NLP tasks such as machine translation, text summarization, and sophisticated chatbots. SLMs are better suited for mobile apps, IoT devices, and resource-limited settings.<\/li><li><strong>Customizability and Accessibility: <\/strong>LLMs require more resources for customization and are less adaptable to small-scale applications. SLMs are easier to customize and adapt, enhancing accessibility.<\/li><li><strong>Cost and Impact: <\/strong>LLMs incur higher operational costs but offer significant impact in automating complex tasks. SLMs have lower operational costs, making AI technology more accessible.<\/li><li><strong>Intellectual Property and Security: <\/strong>LLMs face complex IP issues and higher security risks. SLMs, with their smaller scale of data and training, offer a simpler IP landscape and potentially enhanced security.<\/li><li><p><strong>Emerging Techniques: <\/strong>LLMs are at the forefront of AI research, continuously evolving. SLMs rapidly adapt to new, efficient methodologies for compact environments.<\/p><\/li><\/ul>\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-56fb300 e-flex e-con-boxed e-con e-parent\" data-id=\"56fb300\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1e5b89a elementor-widget elementor-widget-text-editor\" data-id=\"1e5b89a\" data-element_type=\"widget\" data-e-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\t\t<h3 style=\"text-align: center;\">Examples and Applications<\/h3>\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-5ed8379 e-flex e-con-boxed e-con e-parent\" data-id=\"5ed8379\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-942a552 e-con-full e-flex e-con e-child\" data-id=\"942a552\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-76f061f elementor-widget elementor-widget-text-editor\" data-id=\"76f061f\" data-element_type=\"widget\" data-e-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\t\t<h3>Mod\u00e8les de Langage de Grande Taille<\/h3><ul><li><strong>GPT-4<\/strong>: Advanced text generation and multimedia processing, enhancing SEO and marketing strategies.<\/li><li><strong>LlaMA<\/strong>: Ideal for educational applications, enhancing learning experiences.<\/li><li><strong>Falcon<\/strong>: Excels in diverse text and code processing.<\/li><li><strong>Cohere<\/strong>: Effective across various languages and accents.<\/li><li><strong>PaLM<\/strong>: Ideal for secure eCommerce and handling sensitive information.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-51c0847 e-con-full e-flex e-con e-child\" data-id=\"51c0847\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2197a7f elementor-widget elementor-widget-text-editor\" data-id=\"2197a7f\" data-element_type=\"widget\" data-e-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\t\t<h3>Small Language Models<\/h3><ul><li><strong>DistilBERT<\/strong>: Compact model for chatbots and mobile apps.<\/li><li><strong>Orca 2<\/strong>: Excels in data analysis and reasoning.<\/li><li><strong>T5-Small<\/strong>: Manages text summarization and classification in moderate-resource settings.<\/li><li><strong>RoBERTa<\/strong>: Advanced training for in-depth language understanding.<\/li><li><strong>Phi 2<\/strong>: Versatile for both cloud and edge computing.<\/li><\/ul>\t\t\t\t\t\t\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-551daf6 e-flex e-con-boxed e-con e-parent\" data-id=\"551daf6\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-41c1914 elementor-widget elementor-widget-text-editor\" data-id=\"41c1914\" data-element_type=\"widget\" data-e-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\t\t<p class=\"p1\">LLMs like GPT-4 and LlaMA push the boundaries of AI, while SLMs like DistilBERT and Orca 2 offer efficiency and adaptability. Staying informed and engaged is crucial as we navigate this exciting era of AI.<\/p><p class=\"p1\">With our platform, <a href=\"http:\/\/nextbrain.ai\/fr\/\">NextBrain AI<\/a>, vous pouvez exploiter toute la puissance des language models pour analyser sans effort vos donn\u00e9es et obtenir des insights strat\u00e9giques. <a href=\"http:\/\/nextbrain.ai\/fr\/schedule-your-free-demo\/\">Planifiez votre d\u00e9monstration aujourd'hui<\/a> pour voir ce que l'IA peut r\u00e9v\u00e9ler de vos donn\u00e9es.<\/p>\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-a097de0 e-flex e-con-boxed e-con e-parent\" data-id=\"a097de0\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5c63023 elementor-widget elementor-widget-image\" data-id=\"5c63023\" data-element_type=\"widget\" data-e-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\t<a href=\"http:\/\/nextbrain.ai\/fr\/schedule-your-free-demo\/\">\n\t\t\t\t\t\t\t<img decoding=\"async\" data-src=\"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/03\/Book-A-Demo.png\" title=\"R\u00e9servez une d\u00e9mo\" alt=\"R\u00e9servez une d\u00e9mo\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" style=\"--smush-placeholder-width: 1495px; --smush-placeholder-aspect-ratio: 1495\/120;\" \/>\t\t\t\t\t\t\t\t<\/a>\n\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\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Language models have significantly advanced from simple rule-based systems to sophisticated neural networks. Early models, like the 1966 &#8220;ELIZA&#8221; program, were groundbreaking but limited in [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":8443,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[70],"tags":[530,789,788,523,793,736,790,651,792,791],"class_list":["post-8442","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-ai-accessibility","tag-ai-applications","tag-artificial-intelligence-ai","tag-gpt-4","tag-language-model-efficiency","tag-large-language-models-llms","tag-natural-language-processing-nlp","tag-neural-networks","tag-small-language-models-slms","tag-tinybert"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Understanding Large vs. Small Language Models Difference - NextBrain AI | No-Code Machine Learning<\/title>\n<meta name=\"description\" content=\"Discover Large and Small Language Models, their differences, applications, and the evolution of AI in natural language processing.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/nextbrain.ai\/fr\/blog\/understanding-large-vs-small-language-models-difference\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Understanding Large vs. Small Language Models Difference - NextBrain AI | No-Code Machine Learning\" \/>\n<meta property=\"og:description\" content=\"Discover Large and Small Language Models, their differences, applications, and the evolution of AI in natural language processing.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/nextbrain.ai\/fr\/blog\/understanding-large-vs-small-language-models-difference\" \/>\n<meta property=\"og:site_name\" content=\"NextBrain AI | No-Code Machine Learning\" \/>\n<meta property=\"article:published_time\" content=\"2024-08-14T11:51:21+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/LLMs.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1080\" \/>\n\t<meta property=\"og:image:height\" content=\"1080\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"admin1061\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@nextbrain_ai\" \/>\n<meta name=\"twitter:site\" content=\"@nextbrain_ai\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin1061\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Understanding Large vs. Small Language Models Difference - NextBrain AI | No-Code Machine Learning","description":"Discover Large and Small Language Models, their differences, applications, and the evolution of AI in natural language processing.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/nextbrain.ai\/fr\/blog\/understanding-large-vs-small-language-models-difference","og_locale":"fr_FR","og_type":"article","og_title":"Understanding Large vs. Small Language Models Difference - NextBrain AI | No-Code Machine Learning","og_description":"Discover Large and Small Language Models, their differences, applications, and the evolution of AI in natural language processing.","og_url":"https:\/\/nextbrain.ai\/fr\/blog\/understanding-large-vs-small-language-models-difference","og_site_name":"NextBrain AI | No-Code Machine Learning","article_published_time":"2024-08-14T11:51:21+00:00","og_image":[{"width":1080,"height":1080,"url":"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/LLMs.png","type":"image\/png"}],"author":"admin1061","twitter_card":"summary_large_image","twitter_creator":"@nextbrain_ai","twitter_site":"@nextbrain_ai","twitter_misc":{"\u00c9crit par":"admin1061","Dur\u00e9e de lecture estim\u00e9e":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/nextbrain.ai\/blog\/understanding-large-vs-small-language-models-difference#article","isPartOf":{"@id":"https:\/\/nextbrain.ai\/blog\/understanding-large-vs-small-language-models-difference"},"author":{"name":"admin1061","@id":"https:\/\/nextbrain.ai\/#\/schema\/person\/664f8de536c1bdc2b939139c7ddac060"},"headline":"Understanding Large vs. Small Language Models Difference","datePublished":"2024-08-14T11:51:21+00:00","mainEntityOfPage":{"@id":"https:\/\/nextbrain.ai\/blog\/understanding-large-vs-small-language-models-difference"},"wordCount":619,"commentCount":0,"publisher":{"@id":"https:\/\/nextbrain.ai\/#organization"},"image":{"@id":"https:\/\/nextbrain.ai\/blog\/understanding-large-vs-small-language-models-difference#primaryimage"},"thumbnailUrl":"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/LLMs.png","keywords":["AI accessibility","AI applications","Artificial Intelligence (AI)","GPT-4","Language model efficiency","Large Language Models (LLMs)","Natural Language Processing (NLP)","neural networks","Small Language Models (SLMs)","TinyBERT"],"articleSection":["blog"],"inLanguage":"fr-FR","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/nextbrain.ai\/blog\/understanding-large-vs-small-language-models-difference#respond"]}]},{"@type":"WebPage","@id":"https:\/\/nextbrain.ai\/blog\/understanding-large-vs-small-language-models-difference","url":"https:\/\/nextbrain.ai\/blog\/understanding-large-vs-small-language-models-difference","name":"Understanding Large vs. Small Language Models Difference - NextBrain AI | No-Code Machine Learning","isPartOf":{"@id":"https:\/\/nextbrain.ai\/#website"},"primaryImageOfPage":{"@id":"https:\/\/nextbrain.ai\/blog\/understanding-large-vs-small-language-models-difference#primaryimage"},"image":{"@id":"https:\/\/nextbrain.ai\/blog\/understanding-large-vs-small-language-models-difference#primaryimage"},"thumbnailUrl":"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/LLMs.png","datePublished":"2024-08-14T11:51:21+00:00","description":"Discover Large and Small Language Models, their differences, applications, and the evolution of AI in natural language processing.","breadcrumb":{"@id":"https:\/\/nextbrain.ai\/blog\/understanding-large-vs-small-language-models-difference#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/nextbrain.ai\/blog\/understanding-large-vs-small-language-models-difference"]}]},{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/nextbrain.ai\/blog\/understanding-large-vs-small-language-models-difference#primaryimage","url":"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/LLMs.png","contentUrl":"https:\/\/nextbrain.ai\/wp-content\/uploads\/2024\/05\/LLMs.png","width":1080,"height":1080,"caption":"LLMs"},{"@type":"BreadcrumbList","@id":"https:\/\/nextbrain.ai\/blog\/understanding-large-vs-small-language-models-difference#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Portada","item":"https:\/\/nextbrain.ai\/"},{"@type":"ListItem","position":2,"name":"Understanding Large vs. Small Language Models Difference"}]},{"@type":"WebSite","@id":"https:\/\/nextbrain.ai\/#website","url":"https:\/\/nextbrain.ai\/","name":"NextBrain AI | Machine Learning sans code","description":"Upgrade your decision-making","publisher":{"@id":"https:\/\/nextbrain.ai\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/nextbrain.ai\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"fr-FR"},{"@type":"Organization","@id":"https:\/\/nextbrain.ai\/#organization","name":"NextBrain.ai","url":"https:\/\/nextbrain.ai\/","logo":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/nextbrain.ai\/#\/schema\/logo\/image\/","url":"http:\/\/nextbrain.ai\/wp-content\/uploads\/2022\/01\/logoNext.png","contentUrl":"http:\/\/nextbrain.ai\/wp-content\/uploads\/2022\/01\/logoNext.png","width":270,"height":96,"caption":"NextBrain.ai"},"image":{"@id":"https:\/\/nextbrain.ai\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/nextbrain_ai","https:\/\/www.linkedin.com\/company\/nextbrain-ai\/","https:\/\/www.youtube.com\/channel\/UCpRhfXZE3YEdfgp2K0U9kxQ","https:\/\/github.com\/NextBrain-ai"]},{"@type":"Person","@id":"https:\/\/nextbrain.ai\/#\/schema\/person\/664f8de536c1bdc2b939139c7ddac060","name":"admin1061","image":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/nextbrain.ai\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/56db6a17980685fa0a8ed3f9e359af33?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/56db6a17980685fa0a8ed3f9e359af33?s=96&d=mm&r=g","caption":"admin1061"},"sameAs":["http:\/\/nextbrain.ai\/"]}]}},"_links":{"self":[{"href":"https:\/\/nextbrain.ai\/fr\/wp-json\/wp\/v2\/posts\/8442"}],"collection":[{"href":"https:\/\/nextbrain.ai\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nextbrain.ai\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nextbrain.ai\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nextbrain.ai\/fr\/wp-json\/wp\/v2\/comments?post=8442"}],"version-history":[{"count":16,"href":"https:\/\/nextbrain.ai\/fr\/wp-json\/wp\/v2\/posts\/8442\/revisions"}],"predecessor-version":[{"id":8459,"href":"https:\/\/nextbrain.ai\/fr\/wp-json\/wp\/v2\/posts\/8442\/revisions\/8459"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nextbrain.ai\/fr\/wp-json\/wp\/v2\/media\/8443"}],"wp:attachment":[{"href":"https:\/\/nextbrain.ai\/fr\/wp-json\/wp\/v2\/media?parent=8442"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nextbrain.ai\/fr\/wp-json\/wp\/v2\/categories?post=8442"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nextbrain.ai\/fr\/wp-json\/wp\/v2\/tags?post=8442"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}