{"id":464484,"date":"2023-05-14T10:48:37","date_gmt":"2023-05-14T17:48:37","guid":{"rendered":"https:\/\/jorgep.com\/blog\/?p=464484"},"modified":"2024-10-25T14:02:28","modified_gmt":"2024-10-25T21:02:28","slug":"chatgpt-vs-llms-unveiling-the-differences","status":"publish","type":"post","link":"https:\/\/jorgep.com\/blog\/chatgpt-vs-llms-unveiling-the-differences\/","title":{"rendered":"ChatGPT vs. LLMs: Unveiling the Differences"},"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-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\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_43ef2d-d5 > .kt-inside-inner-col,.kadence-column395113_43ef2d-d5 > .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_43ef2d-d5 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column395113_43ef2d-d5 > .kt-inside-inner-col{flex-direction:column;}.kadence-column395113_43ef2d-d5 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column395113_43ef2d-d5 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column395113_43ef2d-d5{position:relative;}@media all and (max-width: 1024px){.kadence-column395113_43ef2d-d5 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column395113_43ef2d-d5 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column395113_43ef2d-d5\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading510545_6813a5-28, .wp-block-kadence-advancedheading.kt-adv-heading510545_6813a5-28[data-kb-block=\"kb-adv-heading510545_6813a5-28\"]{font-size:var(--global-kb-font-size-sm, 0.9rem);font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading510545_6813a5-28 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading510545_6813a5-28[data-kb-block=\"kb-adv-heading510545_6813a5-28\"] 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_6813a5-28 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading510545_6813a5-28[data-kb-block=\"kb-adv-heading510545_6813a5-28\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading510545_6813a5-28 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading510545_6813a5-28\">Quick Links:&nbsp;<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><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-template-part\"><style>.wp-block-kadence-advancedheading.kt-adv-heading395113_c650df-47, .wp-block-kadence-advancedheading.kt-adv-heading395113_c650df-47[data-kb-block=\"kb-adv-heading395113_c650df-47\"]{text-align:center;font-size:var(--global-kb-font-size-md, 1.25rem);line-height:60px;font-style:normal;background-color:#f5a511;}.wp-block-kadence-advancedheading.kt-adv-heading395113_c650df-47 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading395113_c650df-47[data-kb-block=\"kb-adv-heading395113_c650df-47\"] 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_c650df-47 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading395113_c650df-47[data-kb-block=\"kb-adv-heading395113_c650df-47\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading395113_c650df-47 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading395113_c650df-47\">Subscribe to <a href=\"https:\/\/go.35s.be\/jtb\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>JorgeTechBits  newsletter<\/strong><\/a><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n<p>Written by Microsoft Copilot<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">1. <strong>Transformer Architecture<\/strong><\/h2>\n\n\n\n<p>Both ChatGPT and LLMs share a common foundation: the <strong>transformer architecture<\/strong>. This powerful neural network structure has revolutionized natural language processing tasks. <a href=\"https:\/\/www.thoughtspot.com\/data-trends\/ai\/large-language-models-vs-chatgpt\" target=\"_blank\" rel=\"noreferrer noopener\">Its attention mechanisms allow for context-aware understanding, making it ideal for language modeling<\/a><a href=\"https:\/\/www.thoughtspot.com\/data-trends\/ai\/large-language-models-vs-chatgpt\" target=\"_blank\" rel=\"noreferrer noopener\"><sup>1<\/sup><\/a><a href=\"https:\/\/litslink.com\/blog\/chatgpt-as-a-large-language-model-llm\" target=\"_blank\" rel=\"noreferrer noopener\"><sup>2<\/sup><\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2. <strong>Emergent Properties<\/strong><\/h3>\n\n\n\n<p>As LLMs grow in size (often surpassing 50 to 100 billion parameters), intriguing properties emerge. These properties are not exclusive to ChatGPT but are observed across models like <strong>GPT-3<\/strong>, <strong>Bloom<\/strong>, and <strong>PaLM<\/strong>. Let\u2019s explore some of these properties:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Zero-shot Learning<\/strong>: LLMs can solve problems they were not explicitly trained on. For instance, asking GPT-3 \u201cwhat is 5 + 3\u201d yields the correct answer, 8.<\/li>\n\n\n\n<li><strong>Few-shot Learning<\/strong>: LLMs learn from a few examples to tackle novel problems. They adapt based on context and examples provided.<\/li>\n\n\n\n<li><strong>Question Answering<\/strong>: LLMs compose information rather than merely retrieving it, akin to human reasoning.<\/li>\n\n\n\n<li><strong>Code Generation<\/strong>: Surprisingly, LLMs can generate code from natural language instructions, bridging the gap between code and prose.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.thoughtspot.com\/data-trends\/ai\/large-language-models-vs-chatgpt\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Chain-of-Thought Reasoning<\/strong>: Perhaps the most surprising property, LLMs exhibit intricate reasoning patterns<\/a><a href=\"https:\/\/www.thoughtspot.com\/data-trends\/ai\/large-language-models-vs-chatgpt\" target=\"_blank\" rel=\"noreferrer noopener\"><sup>1<\/sup><\/a>.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">3. <strong>ChatGPT\u2019s Unique Features<\/strong><\/h3>\n\n\n\n<p>While other LLMs exist, ChatGPT has captured public attention for several reasons:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Reinforcement Learning from Human Feedback (RLHF)<\/strong>: ChatGPT goes beyond standard training. <a href=\"https:\/\/www.thoughtspot.com\/data-trends\/ai\/large-language-models-vs-chatgpt\" target=\"_blank\" rel=\"noreferrer noopener\">It incorporates feedback from human interactions, refining its responses and making it more conversational<\/a><a href=\"https:\/\/www.thoughtspot.com\/data-trends\/ai\/large-language-models-vs-chatgpt\" target=\"_blank\" rel=\"noreferrer noopener\"><sup>1<\/sup><\/a>.<\/li>\n\n\n\n<li><strong>Human-Like Conversations<\/strong>: ChatGPT generates human-like responses, composes text, and answers questions. <a href=\"https:\/\/www.thoughtspot.com\/data-trends\/ai\/large-language-models-vs-chatgpt\" target=\"_blank\" rel=\"noreferrer noopener\">It adapts to various conversational contexts<\/a><a href=\"https:\/\/indatalabs.com\/blog\/chatgpt-large-language-model\" target=\"_blank\" rel=\"noreferrer noopener\"><sup>3<\/sup><\/a>.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">4. <strong>The Essence of ChatGPT<\/strong><\/h3>\n\n\n\n<p>ChatGPT is an AI-powered language model that enables rich conversations, list writing, and more. <a href=\"https:\/\/indatalabs.com\/blog\/chatgpt-large-language-model\" target=\"_blank\" rel=\"noreferrer noopener\">It\u2019s not just about predicting the next word; it\u2019s about understanding and engaging with users in a natural way<\/a><a href=\"https:\/\/indatalabs.com\/blog\/chatgpt-large-language-model\" target=\"_blank\" rel=\"noreferrer noopener\"><sup>3<\/sup><\/a>.<\/p>\n\n\n\n<p>In summary, ChatGPT stands at the intersection of language modeling, emergent properties, and human interaction. <a href=\"https:\/\/www.thoughtspot.com\/data-trends\/ai\/large-language-models-vs-chatgpt\" target=\"_blank\" rel=\"noreferrer noopener\">While it shares traits with LLMs, its unique features set it apart, making it a powerful tool for communication and creativity in the real world<\/a><a href=\"https:\/\/www.thoughtspot.com\/data-trends\/ai\/large-language-models-vs-chatgpt\" target=\"_blank\" rel=\"noreferrer noopener\"><sup>1<\/sup><\/a><a href=\"https:\/\/litslink.com\/blog\/chatgpt-as-a-large-language-model-llm\" target=\"_blank\" rel=\"noreferrer noopener\"><sup>2<\/sup><\/a><a href=\"https:\/\/indatalabs.com\/blog\/chatgpt-large-language-model\" target=\"_blank\" rel=\"noreferrer noopener\"><sup>3<\/sup><\/a>. <\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Written by Microsoft Copilot 1. Transformer Architecture Both ChatGPT and LLMs share a common foundation: the transformer architecture. This powerful neural network structure has revolutionized natural language processing tasks. Its attention mechanisms allow for context-aware understanding, making it ideal for language modeling12. 2. Emergent Properties As LLMs grow in size (often surpassing 50 to 100&#8230;<\/p>\n","protected":false},"author":2,"featured_media":427864,"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":"","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":[471,930,842,871,876],"class_list":["post-464484","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-talk","tag-ai","tag-ai-series","tag-chatgpt","tag-genai","tag-llm"],"taxonomy_info":{"category":[{"value":441,"label":"Tech Talk"}],"post_tag":[{"value":471,"label":"AI"},{"value":930,"label":"AI Series"},{"value":842,"label":"ChatGPT"},{"value":871,"label":"GenAi"},{"value":876,"label":"LLM"}]},"featured_image_src_large":["https:\/\/jorgep.com\/blog\/wp-content\/uploads\/Topic-ArtificialIntelligenceBanner-900x200-1.png",900,200,false],"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":668,"filter":"raw","cat_ID":441,"category_count":668,"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":140,"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":144,"filter":"raw"},{"term_id":842,"name":"ChatGPT","slug":"chatgpt","term_group":0,"term_taxonomy_id":852,"taxonomy":"post_tag","description":"","parent":0,"count":18,"filter":"raw"},{"term_id":871,"name":"GenAi","slug":"genai","term_group":0,"term_taxonomy_id":881,"taxonomy":"post_tag","description":"","parent":0,"count":78,"filter":"raw"},{"term_id":876,"name":"LLM","slug":"llm","term_group":0,"term_taxonomy_id":886,"taxonomy":"post_tag","description":"","parent":0,"count":14,"filter":"raw"}],"_links":{"self":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/posts\/464484","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=464484"}],"version-history":[{"count":0,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/posts\/464484\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/media\/427864"}],"wp:attachment":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/media?parent=464484"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/categories?post=464484"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/tags?post=464484"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}