{"id":465083,"date":"2024-03-14T23:34:45","date_gmt":"2024-03-15T06:34:45","guid":{"rendered":"https:\/\/jorgep.com\/blog\/?p=465083"},"modified":"2024-10-25T14:02:27","modified_gmt":"2024-10-25T21:02:27","slug":"what-are-large-language-models-llm","status":"publish","type":"post","link":"https:\/\/jorgep.com\/blog\/what-are-large-language-models-llm\/","title":{"rendered":"What Are Large Language Models (LLM)"},"content":{"rendered":"\n<div class=\"wp-block-columns has-theme-palette-7-background-color has-background is-layout-flex wp-container-core-columns-is-layout-2edb0647 wp-block-columns-is-layout-flex\" style=\"margin-top:0;margin-bottom:0\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:80%\">\n<p>Part of: <strong> <a href=\"https:\/\/jorgep.com\/blog\/series-ai-learnings\/\">AI Learning Series Here<\/a><\/strong><\/p>\n\n\n<style>.kadence-column395113_97b87a-23 > .kt-inside-inner-col,.kadence-column395113_97b87a-23 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column395113_97b87a-23 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column395113_97b87a-23 > .kt-inside-inner-col{flex-direction:column;}.kadence-column395113_97b87a-23 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column395113_97b87a-23 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column395113_97b87a-23{position:relative;}@media all and (max-width: 1024px){.kadence-column395113_97b87a-23 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column395113_97b87a-23 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column395113_97b87a-23\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99, .wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99[data-kb-block=\"kb-adv-heading510545_15a085-99\"]{font-size:var(--global-kb-font-size-sm, 0.9rem);font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99[data-kb-block=\"kb-adv-heading510545_15a085-99\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99[data-kb-block=\"kb-adv-heading510545_15a085-99\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading510545_15a085-99 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading510545_15a085-99\">Quick Links:\u00a0<a href=\"https:\/\/jorgep.com\/blog\/resources-for-learning-ai\/\">Resources for Learning AI<\/a> | <a href=\"https:\/\/jorgep.com\/blog\/keeping-up-with-ai\/\">Keep up with AI<\/a> | <a href=\"https:\/\/jorgep.com\/blog\/list-of-ai-tools\/\" data-type=\"post\" data-id=\"402818\">List of AI Tools<\/a> | <a href=\"https:\/\/jorgep.com\/blog\/local-ai-series\/\" data-type=\"page\" data-id=\"519365\">Local AI<\/a><\/p>\n<\/div><\/div>\n\n\n<style>.kb-row-layout-id395113_d73e95-0d > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id395113_d73e95-0d > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id395113_d73e95-0d > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-none, 0rem );padding-top:var(--global-kb-spacing-xxs, 0.5rem);padding-bottom:var(--global-kb-spacing-xxs, 0.5rem);grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id395113_d73e95-0d > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id395113_d73e95-0d > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id395113_d73e95-0d > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id395113_d73e95-0d alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column395113_df36f9-de > .kt-inside-inner-col,.kadence-column395113_df36f9-de > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column395113_df36f9-de > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column395113_df36f9-de > .kt-inside-inner-col{flex-direction:column;}.kadence-column395113_df36f9-de > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column395113_df36f9-de > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column395113_df36f9-de{position:relative;}@media all and (max-width: 1024px){.kadence-column395113_df36f9-de > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column395113_df36f9-de > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column395113_df36f9-de\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9, .wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9[data-kb-block=\"kb-adv-heading395113_b3212c-b9\"]{text-align:center;font-size:var(--global-kb-font-size-sm, 0.9rem);line-height:60px;font-style:normal;background-color:#f5a511;}.wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9[data-kb-block=\"kb-adv-heading395113_b3212c-b9\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9[data-kb-block=\"kb-adv-heading395113_b3212c-b9\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading395113_b3212c-b9 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading395113_b3212c-b9\">Subscribe to <a href=\"https:\/\/go.35s.be\/jtb\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>JorgeTechBits  newsletter<\/strong><\/a><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column395113_4b4b81-29 > .kt-inside-inner-col,.kadence-column395113_4b4b81-29 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column395113_4b4b81-29 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column395113_4b4b81-29 > .kt-inside-inner-col{flex-direction:column;}.kadence-column395113_4b4b81-29 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column395113_4b4b81-29 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column395113_4b4b81-29{position:relative;}@media all and (max-width: 1024px){.kadence-column395113_4b4b81-29 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column395113_4b4b81-29 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column395113_4b4b81-29\"><div class=\"kt-inside-inner-col\"><\/div><\/div>\n\n<\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><a href=\"htthttps:\/\/jorgep.com\/blog\/book-dont-just-chat-delegate\/\"><img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"1024\" src=\"https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-640x1024.jpg\" alt=\"\" class=\"wp-image-520234\" style=\"aspect-ratio:0.6250142320391666;width:98px;height:auto\" srcset=\"https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-640x1024.jpg 640w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-188x300.jpg 188w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-768x1229.jpg 768w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-960x1536.jpg 960w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-1280x2048.jpg 1280w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01.jpg 1600w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><figcaption class=\"wp-element-caption\"><a href=\"https:\/\/jorgep.com\/blog\/book-series-ai-dont-just-chat\/\" data-type=\"page\" data-id=\"520242\">Check out the Book Series<\/a><\/figcaption><\/figure>\n<\/div><\/div>\n<\/div>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading407818_afcbba-c7, .wp-block-kadence-advancedheading.kt-adv-heading407818_afcbba-c7[data-kb-block=\"kb-adv-heading407818_afcbba-c7\"]{font-size:var(--global-kb-font-size-sm, 0.9rem);font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading407818_afcbba-c7 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading407818_afcbba-c7[data-kb-block=\"kb-adv-heading407818_afcbba-c7\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading407818_afcbba-c7 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading407818_afcbba-c7[data-kb-block=\"kb-adv-heading407818_afcbba-c7\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading407818_afcbba-c7 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading407818_afcbba-c7\">Have questions, ideas to share, or just want to connect? I\u2019d love to hear from you! Check out my <a href=\"https:\/\/jorgep.com\/blog\/about\/\">About Page<\/a> to learn more about me or connect with me.<\/p>\n\n\n\n<p>Large Language models are powerful algorithms designed to understand and generate human-like text. They learn from vast amounts of text data and can perform tasks such as text completion, translation, summarization, and more.  LLMs are a type of AI system that uses deep learning on massive text datasets to recognize patterns and generate remarkably fluent, contextual responses. These models are &#8220;unsupervised&#8221; &#8211; they learn in a general way without being explicitly trained for specific tasks. <\/p>\n\n\n\n<blockquote class=\"wp-block-quote has-text-align-center is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-large-font-size\"><strong><em>LLMs do not store facts they store probabilities!<\/em><\/strong><\/p>\n<cite>Mark Hennings \/ Entry Point AI: <a href=\"https:\/\/www.youtube.com\/watch?v=YVWxbHJakgg&amp;t=113s\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">Prompt Engineering, RAG, and Fine-tuning: Benefits and When to Use (youtube.com)<\/a><\/cite><\/blockquote>\n\n\n\n<p>LLMs are characterized by their ability to handle a vast number of parameters, with some of the most successful models having hundreds of billions of parameters. These models are trained using massive amounts of data and utilize self-supervised learning to predict the next token in a sentence, given the surrounding context.<\/p>\n\n\n\n<p><strong>Key Characteristics of LLMs:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Deep Learning and Data:<\/strong>&nbsp;LLMs leverage deep learning techniques and large datasets to understand, summarize, generate, and predict new content.<\/li>\n\n\n\n<li><strong>Transformer Architecture:<\/strong>&nbsp;LLMs utilize a transformer model architecture, consisting of an encoder and a decoder with self-attention capabilities, to extract meanings from a sequence of text and understand the relationships between words and phrases.<\/li>\n\n\n\n<li><strong>Training Process:<\/strong>&nbsp;LLMs undergo computationally intensive self-supervised and semi-supervised training processes to acquire their language generation and NLP capabilities.<\/li>\n<\/ul>\n\n\n\n<p>LLMs have a broad range of applications, including language translation, sentence completion, sentiment analysis, question answering, and mathematical equations, among others.  This allows LLMs to display versatile language abilities across many domains from creative writing to analysis to coding. <\/p>\n\n\n\n<p>Large Language Models (LLMs) are powerful machine learning models that excel in natural language processing tasks, leveraging deep learning techniques, massive datasets, and self-supervised learning to understand and generate text-based content.<\/p>\n\n\n\n<p><strong>GPT-4 is a large language model (LLM), which is a neural network trained on massive amounts of data to understand and generate text. <\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The Rise of LLMs<\/h2>\n\n\n\n<p>Large Language Models (LLMs) have gained immense popularity due to their impressive capabilities. Models like <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>OpenAI (GPT-3, GPT-4)<\/li>\n\n\n\n<li>Google (Gemini, LaMDA, PaLM)<\/li>\n\n\n\n<li>Anthropic (Claude)<\/li>\n\n\n\n<li>DeepMind (Gato \/ Gopher)<\/li>\n\n\n\n<li>X AI (Grok) <\/li>\n\n\n\n<li>Mistral (Mistral-2) <\/li>\n\n\n\n<li>Nvidia\/Microsoft ( <a href=\"https:\/\/developer.nvidia.com\/blog\/using-deepspeed-and-megatron-to-train-megatron-turing-nlg-530b-the-worlds-largest-and-most-powerful-generative-language-model\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>MT-NLG<\/strong><\/a>) <\/li>\n\n\n\n<li>Meta (OPT, LLaMA, LLaMA-2)<\/li>\n\n\n\n<li>Standford Alpaca<\/li>\n\n\n\n<li>Complete list at: <a href=\"https:\/\/huggingface.co\/models\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">Models &#8211; Hugging Face<\/a><\/li>\n<\/ul>\n\n\n\n<p>LLMS have demonstrated remarkable proficiency in natural language understanding and generation. They can generate coherent paragraphs, answer questions, and even compose poetry. For example, GPT-4 is a multi-modal LLM that is capable of processing text and image input. <\/p>\n\n\n\n<p>As LLM capabilities continue to evolve, we&#8217;ll likely see decoupled systems that combine the benefits of open-ended language models with specialized, controlled modules optimized for different applications.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>LLM<\/th><th>Parameter Count <br>* Estimated<\/th><th>Company<\/th><\/tr><\/thead><tbody><tr><td>Claude-3 Opus<\/td><td>2 trillion dollars*<\/td><td>Anthropic <\/td><\/tr><tr><td>Wu Dao 2.0<\/td><td>1.75 trillion<\/td><td>Beijing Academy of Artificial Intelligence, (BAAI) <\/td><\/tr><tr><td>Gemini 1.0<\/td><td>1.6 trillion<\/td><td>Google<\/td><\/tr><tr><td>LaMDA<\/td><td>1.56 trillion<\/td><td>Google<\/td><\/tr><tr><td>Megatron-Turing NLG<\/td><td>530 billion<\/td><td>Microsoft\/Nvidia<\/td><\/tr><tr><td>MT-NLG<\/td><td>530 billion<\/td><td>Google<\/td><\/tr><tr><td>GPT-4<\/td><td>340 billion<\/td><td>OpenAI<\/td><\/tr><tr><td>Gopher<\/td><td>280 billion<\/td><td>DeepMind<\/td><\/tr><tr><td>GPT-3<\/td><td>175 billion<\/td><td>OpenAI<\/td><\/tr><tr><td>Bloom<\/td><td>176 billion<\/td><td>Hugging Face\/IDRI<\/td><\/tr><tr><td>Jurassic-1 Jumbo<\/td><td>178 billion<\/td><td>AI21 Labs<\/td><\/tr><tr><td>PanGu-Alpha<\/td><td>200 billion<\/td><td>Huawei\/Beijing Academy of AI<\/td><\/tr><tr><td>LLaMa-2<\/td><td>\u00a070 billion <\/td><td>Meta<\/td><\/tr><tr><td>GPT-NeoX-20B<\/td><td>20 billion<\/td><td>EleutherAI<\/td><\/tr><tr><td>GPT-J<\/td><td>6 billion<\/td><td>EleutherAI<\/td><\/tr><tr><td>Claude-1<\/td><td>10 billion<\/td><td>Anthropic<\/td><\/tr><tr><td>AlphaFold<\/td><td>100+ million<\/td><td>DeepMind<\/td><\/tr><tr><td><\/td><td><\/td><td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Full List at:   <\/p>\n\n\n\n<p><a href=\"https:\/\/llmmodels.org\/\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">All Large Language Models Directory &#8211; All LLMs (llmmodels.org)<\/a><\/p>\n\n\n\n<p><br>Other Resources: <\/p>\n\n\n\n<p><a href=\"https:\/\/huggingface.co\/models\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">Open Source Models &#8211; Hugging Face<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/sapling.ai\/llm\/index\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">The Large Language Model (LLM) Index | Sapling<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/github.com\/Barnacle-ai\/awesome-llm-list\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">GitHub &#8211; Barnacle-ai\/awesome-llm-list: An overview of Large Language Model (LLM) options<\/a><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Large Language models are powerful algorithms designed to understand and generate human-like text. They learn from vast amounts of text data and can perform tasks such as text completion, translation, summarization, and more. LLMs are a type of AI system that uses deep learning on massive text datasets to recognize patterns and generate remarkably fluent,&#8230;<\/p>\n","protected":false},"author":2,"featured_media":427863,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","ngg_post_thumbnail":0,"episode_type":"","audio_file":"","podmotor_file_id":"","podmotor_episode_id":"","cover_image":"","cover_image_id":"","duration":"","filesize":"","filesize_raw":"","date_recorded":"","explicit":"","block":"","itunes_episode_number":"","itunes_title":"","itunes_season_number":"","itunes_episode_type":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[441],"tags":[471,930,894,842,871,742],"class_list":["post-465083","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-talk","tag-ai","tag-ai-series","tag-artificial-intelligence","tag-chatgpt","tag-genai","tag-moderneuc1"],"taxonomy_info":{"category":[{"value":441,"label":"Tech Talk"}],"post_tag":[{"value":471,"label":"AI"},{"value":930,"label":"AI Series"},{"value":894,"label":"artificial intelligence"},{"value":842,"label":"ChatGPT"},{"value":871,"label":"GenAi"},{"value":742,"label":"ModernEUC"}]},"featured_image_src_large":["https:\/\/jorgep.com\/blog\/wp-content\/uploads\/Topic-ArtificialIntelligence-1024x512.png",1024,512,true],"author_info":{"display_name":"Jorge Pereira","author_link":"https:\/\/jorgep.com\/blog\/author\/jorge\/"},"comment_info":0,"category_info":[{"term_id":441,"name":"Tech Talk","slug":"tech-talk","term_group":0,"term_taxonomy_id":451,"taxonomy":"category","description":"","parent":0,"count":708,"filter":"raw","cat_ID":441,"category_count":708,"category_description":"","cat_name":"Tech Talk","category_nicename":"tech-talk","category_parent":0}],"tag_info":[{"term_id":471,"name":"AI","slug":"ai","term_group":0,"term_taxonomy_id":481,"taxonomy":"post_tag","description":"","parent":0,"count":166,"filter":"raw"},{"term_id":930,"name":"AI Series","slug":"ai-series","term_group":0,"term_taxonomy_id":940,"taxonomy":"post_tag","description":"","parent":0,"count":173,"filter":"raw"},{"term_id":894,"name":"artificial intelligence","slug":"artificial-intelligence","term_group":0,"term_taxonomy_id":904,"taxonomy":"post_tag","description":"","parent":0,"count":19,"filter":"raw"},{"term_id":842,"name":"ChatGPT","slug":"chatgpt","term_group":0,"term_taxonomy_id":852,"taxonomy":"post_tag","description":"","parent":0,"count":19,"filter":"raw"},{"term_id":871,"name":"GenAi","slug":"genai","term_group":0,"term_taxonomy_id":881,"taxonomy":"post_tag","description":"","parent":0,"count":92,"filter":"raw"},{"term_id":742,"name":"ModernEUC","slug":"moderneuc1","term_group":0,"term_taxonomy_id":752,"taxonomy":"post_tag","description":"","parent":0,"count":293,"filter":"raw"}],"_links":{"self":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/posts\/465083","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/comments?post=465083"}],"version-history":[{"count":0,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/posts\/465083\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/media\/427863"}],"wp:attachment":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/media?parent=465083"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/categories?post=465083"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/tags?post=465083"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}