{"id":8463,"date":"2025-04-25T19:24:00","date_gmt":"2025-04-25T19:24:00","guid":{"rendered":"https:\/\/undetectable.ai/blog\/?p=8463"},"modified":"2025-12-22T16:44:40","modified_gmt":"2025-12-22T16:44:40","slug":"how-does-chatgpt-work","status":"publish","type":"post","link":"https:\/\/undetectable.ai/blog\/how-does-chatgpt-work\/","title":{"rendered":"How Does ChatGPT Work? The Tech Explained Simply"},"content":{"rendered":"\n<p>There\u2019s one thing that\u2019s been on everyone\u2019s tongue for the past couple of years: <strong>ChatGPT.<\/strong><\/p>\n\n\n\n<p><strong>Teachers<\/strong> worry that it\u2019s writing students\u2019 homework.&nbsp;<\/p>\n\n\n\n<p><strong>Writers<\/strong> fear AI might write books and stories instead of them.&nbsp;<\/p>\n\n\n\n<p><strong>Coders<\/strong> are scared it will build websites and apps better than humans can.&nbsp;<\/p>\n\n\n\n<p>Some even predict that <strong>millions of jobs could disappear<\/strong> because of AI.&nbsp;<\/p>\n\n\n\n<p>We\u2019ve all heard of it. But have you ever wondered <strong>how <\/strong><strong><em>ChatGPT works?&nbsp;<\/em><\/strong><\/p>\n\n\n\n<p>How does ChatGPT write a kid\u2019s homework? What\u2019s happening behind the scenes when you type a question and it replies like a real person?&nbsp;<\/p>\n\n\n\n<p>How can a machine write poems, stories, and code, even though it doesn\u2019t understand words the way we do?<\/p>\n\n\n\n<p>In this blog, <strong>we will look inside<\/strong> ChatGPT and explain what ChatGPT is and how it works, step by step. <\/p>\n\n\n\n<p>You\u2019ll learn how it remembers things, what its limits are, and how tools like this are built in the first place.&nbsp;<\/p>\n\n\n\n<p><strong>Let\u2019s get started!<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The Foundation: GPT Language Models<\/h2>\n\n\n\n<p>ChatGPT is an AI that is made to understand and write like a human.&nbsp;<\/p>\n\n\n\n<p>It\u2019s called a <strong>language model<\/strong> because it works with language &#8211; reading it, predicting it, and generating it.&nbsp;<\/p>\n\n\n\n<p>But it doesn\u2019t understand like people do. It doesn\u2019t think. It doesn\u2019t know facts. It just looks at patterns.&nbsp;<\/p>\n\n\n\n<p><strong>For example,&nbsp;<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>If you type, <strong><em>\u201cThe sky is\u2026\u201d<\/em><\/strong><\/li>\n\n\n\n<li>It might say <strong><em>\u201cblue.\u201d&nbsp;<\/em><\/strong><\/li>\n<\/ul>\n\n\n\n<p>Not because it knows the sky is blue, but because it saw that sentence millions of times during training. It learned that \u201cblue\u201d often comes after \u201cthe sky is.\u201d<\/p>\n\n\n\n<p>This type of AI is called an <a href=\"https:\/\/www.geeksforgeeks.org\/large-language-model-llm\/\" target=\"_blank\" rel=\"noreferrer noopener\">LLM<\/a>, which stands for <strong>Large Language Model.&nbsp;<\/strong><\/p>\n\n\n\n<p>It\u2019s trained on tons of textbooks, websites, and more to figure out how humans use words. But it\u2019s not reading for meaning. It\u2019s learning how words usually show up next to each other.&nbsp;<\/p>\n\n\n\n<p><strong>GPT<\/strong> is a specific kind of LLM.<\/p>\n\n\n\n<p>GPT stands for <strong>\u201cGenerative Pre-trained Transformer.\u201d<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Generative <\/strong>\u2014 it can create new text.<\/li>\n\n\n\n<li><strong>Pre-trained<\/strong> \u2014 it learn before it talks to you.<\/li>\n\n\n\n<li><strong>Transformer<\/strong> \u2014 the key technology behind how ChatGPT works that helps it understand how words relate to each other in a sentence, paragraph, or even conversation.<\/li>\n<\/ul>\n\n\n\n<p>Here are the different versions of GPT that have been launched over the years.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><picture><source srcset=\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Comparative-gpt-1.avif 1024w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Comparative-gpt-1-300x225.avif 300w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Comparative-gpt-1-768x576.avif 768w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Comparative-gpt-1-16x12.avif 16w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" type=\"image\/avif\"><source srcset=\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Comparative-gpt-1.webp 1024w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Comparative-gpt-1-300x225.webp 300w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Comparative-gpt-1-768x576.webp 768w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Comparative-gpt-1-16x12.webp 16w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" type=\"image\/webp\"><img src=\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Comparative-gpt-1.jpg\" height=\"768\" width=\"1024\" srcset=\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Comparative-gpt-1.jpg 1024w, https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Comparative-gpt-1-300x225.jpg 300w, https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Comparative-gpt-1-768x576.jpg 768w, https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Comparative-gpt-1-16x12.jpg 16w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" class=\"wp-image-8472 sp-no-webp\" alt=\"\" loading=\"lazy\" decoding=\"async\"  > <\/picture><\/figure><\/div>\n\n\n<h2 class=\"wp-block-heading\">How ChatGPT Works<\/h2>\n\n\n\n<p>Here\u2019s a simplified breakdown of how ChatGPT works and processes your input in five key steps.&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Step 1: Pretraining on Massive Data<\/li>\n<\/ul>\n\n\n\n<p><strong>Large Language Models (LLMs)<\/strong> like ChatGPT are pre-trained by processing vast amounts of text from the internet to learn language patterns.&nbsp;<\/p>\n\n\n\n<p>During pre training, the model processes <a href=\"https:\/\/r.search.yahoo.com\/_ylt=AwrFYpBf_AhoKgIAU0pXNyoA;_ylu=Y29sbwNiZjEEcG9zAzEEdnRpZAMEc2VjA3Ny\/RV=2\/RE=1746628959\/RO=10\/RU=https%3a%2f%2fwww.techradar.com%2fpro%2fwhat-is-a-token-in-ai-and-why-is-it-so-important\/RK=2\/RS=OlQ2iDQ.cxkHZOzvZwNr.cl6I2o-\" target=\"_blank\" rel=\"noreferrer noopener\">trillions of tokens<\/a> (tiny pieces of text).&nbsp;<\/p>\n\n\n\n<p>A <strong>token <\/strong>can be a word, part of a word, or even punctuation, depending on how the model tokenizes the input.&nbsp;<\/p>\n\n\n\n<p><strong>For example,&nbsp;<\/strong><\/p>\n\n\n\n<p>You ask ChatGPT a math question, such as:<\/p>\n\n\n\n<p><strong>Problem:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>2 + 3 = ?&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>During its training, ChatGPT reads hundreds of billions of words from books, news, articles, Wikipedia, stories, science papers, and even Reddit threads. <\/p>\n\n\n\n<p>This training and reading help it understand how addition works.&nbsp;<\/p>\n\n\n\n<p><strong>For example,<\/strong><\/p>\n\n\n\n<p>It might learn the <strong>commutative property<\/strong> (i.e., 2 + 3 = 3 + 2) through such contexts.<\/p>\n\n\n\n<p>ChatGPT sees many examples like&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u201c2 + 3 = 5,\u201d&nbsp;<\/li>\n\n\n\n<li>\u201c7 + 8 = 15,\u201d&nbsp;<\/li>\n\n\n\n<li>\u201c9 + 4 = 13.\u201d&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>It doesn\u2019t learn just these specific examples, it learns the pattern of addition.&nbsp;<\/p>\n\n\n\n<p>It understands how numbers interact with the \u201c+\u201d symbol and how the result typically follows the \u201c=\u201d symbol.&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Step 2: The Transformer Architecture<\/li>\n<\/ul>\n\n\n\n<p>Once ChatGPT had seen a massive amount of words, it needed a brain that could make sense of all that information. That brain of AI is called <strong>\u201cTransformer.\u201d<\/strong><\/p>\n\n\n\n<p>What sets the Transformer apart is its ability to <strong>focus attention <\/strong>on the most important parts of the input, much like how we process language.&nbsp;<\/p>\n\n\n\n<p><strong>For example,<\/strong><\/p>\n\n\n\n<p>Let\u2019s apply this to a math problem:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u201cWhat is the sum of 5 and 7?\u201d<\/strong><\/li>\n<\/ul>\n\n\n\n<p>When processing this, the Transformer doesn\u2019t just go word by word.&nbsp;<\/p>\n\n\n\n<p>Instead, it looks at the full context \u2014 \u201csum,\u201d \u201c5,\u201d and \u201c7\u201d \u2014 all at once.&nbsp;<\/p>\n\n\n\n<p>It recognizes that <strong>\u201csum\u201d <\/strong>refers to<strong> \u201caddition\u201d<\/strong> and that \u201c5\u201d and \u201c7\u201d are the numbers involved.&nbsp;<\/p>\n\n\n\n<p>The Transformer then gives more <strong>\u201cattention\u201d<\/strong> to those words that directly impact the answer, so it focuses on the operation (\u201csum\u201d) and the numbers (\u201c5\u201d and \u201c7\u201d).&nbsp;<\/p>\n\n\n\n<p>This is a key part of how ChatGPT works &#8211; it <strong>doesn\u2019t linearly process the problem,<\/strong> but in a way that helps it understand the relationship between the elements.&nbsp;<\/p>\n\n\n\n<p>This ability to look at everything in context is what makes the Transformer so powerful.&nbsp;<\/p>\n\n\n\n<p>Instead of just figuring out what comes next, it understands the meaning by connecting the relevant pieces of the sentence together.&nbsp;<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><picture><source srcset=\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/08\/Acronym-Generator-1024x365.avif 1024w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/08\/Acronym-Generator-300x107.webp 300w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/08\/Acronym-Generator-768x274.avif 768w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/08\/Acronym-Generator-18x6.webp 18w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/08\/Acronym-Generator.avif 1283w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" type=\"image\/avif\"><source srcset=\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/08\/Acronym-Generator-1024x365.webp 1024w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/08\/Acronym-Generator-300x107.webp 300w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/08\/Acronym-Generator-768x274.webp 768w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/08\/Acronym-Generator-18x6.webp 18w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/08\/Acronym-Generator.webp 1283w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" type=\"image\/webp\"><img src=\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/08\/Acronym-Generator-1024x365.jpg\" height=\"365\" width=\"1024\" srcset=\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/08\/Acronym-Generator-1024x365.jpg 1024w, https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/08\/Acronym-Generator-300x107.jpg 300w, https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/08\/Acronym-Generator-768x274.jpg 768w, https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/08\/Acronym-Generator-18x6.jpg 18w, https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/08\/Acronym-Generator.jpg 1283w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" class=\"wp-image-18176 sp-no-webp\" alt=\"\" loading=\"lazy\" decoding=\"async\"  > <\/picture><\/figure><\/div>\n\n\n<p>Furthermore, stepping into a new online community often means learning a whole new vocabulary, but you don&#8217;t have to wait months to start speaking the language.<\/p>\n\n\n\n<p>Plus, if you\u2019re looking to help your messages blend in seamlessly, Undetectable AI&#8217;s <a href=\"https:\/\/undetectable.ai\/acronym-generator\" target=\"_blank\" rel=\"noreferrer noopener\">Acronym Generator<\/a> lets you create custom shorthand that mimics the complex patterns AI models use to process and generate structured linguistic short-forms.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Step 3: Tokenization and Language Processing<\/li>\n<\/ul>\n\n\n\n<p>When you type text into ChatGPT, it breaks your prompt into small <strong>tokens.&nbsp;<\/strong><\/p>\n\n\n\n<p>Some tokens are full words, while others are just parts of words.&nbsp;<\/p>\n\n\n\n<p><strong>For example,&nbsp;<\/strong><\/p>\n\n\n\n<p>When you input <strong><em>\u201cChatGPT is smart,\u201d <\/em><\/strong>ChatGPT splits it into the following tokens:<\/p>\n\n\n\n<p><strong>[\u201cChat,\u201d \u201cG,\u201d \u201cPT,\u201d \u201cis,\u201d \u201csmart\u201d]<\/strong><\/p>\n\n\n\n<p>Even the name \u201cChatGPT\u201d gets split into different tokens.&nbsp;<\/p>\n\n\n\n<p>This process is called <strong>tokenization.<\/strong> Because the models have been trained on tokens instead of full words, it\u2019s much more flexible as it can handle:<\/p>\n\n\n\n<p>Multiple languages <strong>(since different languages have different word structures),<\/strong><\/p>\n\n\n\n<p>Slang and abbreviations <strong>(like \u201cu\u201d for \u201cyou\u201d or \u201cidk\u201d for \u201cI don\u2019t know\u201d).<\/strong><\/p>\n\n\n\n<p>Even made-up words or variations<strong> (like breaking \u201cunbelievable\u201d into \u201cun,\u201d \u201cbeliev,\u201d \u201cable\u201d).&nbsp;<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Step 4: Fine-Tuning and Safety Layers<\/li>\n<\/ul>\n\n\n\n<p>Once ChatGPT has been trained on a vast amount of data, it\u2019s not quite ready for prime time.&nbsp;<\/p>\n\n\n\n<p>It still needs help to make sure it responds in the most useful, polite, and safe way.&nbsp;<\/p>\n\n\n\n<p>Through <a href=\"https:\/\/r.search.yahoo.com\/_ylt=AwrhR3bQCglo_AEAe21XNyoA;_ylu=Y29sbwNiZjEEcG9zAzEEdnRpZAMEc2VjA3Ny\/RV=2\/RE=1746632657\/RO=10\/RU=https%3a%2f%2fmedium.com%2fmantisnlp%2fsupervised-fine-tuning-customizing-llms-a2c1edbf22c3\/RK=2\/RS=axQGOJbd0ed9ui9Hx7swM.8JJ6w-\" target=\"_blank\" rel=\"noreferrer noopener\">supervised fine-tuning<\/a>, human reviewers give ChatGPT examples of what makes a good response.<strong> For example,&nbsp;<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><em>\u201cWhat is 5 + 7?\u201d<\/em><\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>Bad answer:<\/strong><strong> <\/strong>It\u2019s an easy question. Why don\u2019t you know this?<\/li>\n\n\n\n<li><strong>Good answer<\/strong><strong>: <\/strong>The sum of 5 and 7 is 12.&nbsp;<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p>Over time, ChatGPT is trained with better examples to become more polite, clear, and focused.&nbsp;<\/p>\n\n\n\n<p>Once it has a solid foundation, it gets more advanced help through <a href=\"https:\/\/r.search.yahoo.com\/_ylt=AwrhR3bsCgloCQIAw2FXNyoA;_ylu=Y29sbwNiZjEEcG9zAzEEdnRpZAMEc2VjA3Ny\/RV=2\/RE=1746632685\/RO=10\/RU=https%3a%2f%2fen.wikipedia.org%2fwiki%2fReinforcement_learning_from_human_feedback\/RK=2\/RS=IjSOBx0ICWXfEvyHarcjDvXTTqw-\" target=\"_blank\" rel=\"noreferrer noopener\">Reinforcement Learning from Human Feedback<\/a> (RLHF). <\/p>\n\n\n\n<p>This process goes like this:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>ChatGPT answers.&nbsp;<\/strong><\/li>\n\n\n\n<li><strong>Humans rate<\/strong> that answer based on how good it is \u2014 how useful, accurate, and safe it is.&nbsp;<\/li>\n\n\n\n<li><strong>ChatGPT learns<\/strong> from this feedback and tries to give better answers in the future.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p><strong>For example, <\/strong>imagine ChatGPT answers a math problem, such as <strong><em>\u201cWhat is 12 divided by 4?\u201d:&nbsp;<\/em><\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>ChatGPT answers: \u201c3.\u201d<\/li>\n\n\n\n<li>Human feedback: This answer is great.&nbsp;<\/li>\n\n\n\n<li>ChatGPT learns: It keeps giving this type of response when similar questions come up.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>The goal is for ChatGPT to keep improving, just like a student who learns from past mistakes.&nbsp;<\/p>\n\n\n\n<p>Finally, one important purpose of fine-tuning by humans is the <strong>align with human values.&nbsp;<\/strong><\/p>\n\n\n\n<p>We want it to be not just smart, but also helpful, harmless, and honest.&nbsp;<\/p>\n\n\n\n<p><strong>For example,<\/strong> if a user asks a complex question like, <strong><em>\u201cWhat is the square root of -1?\u201d&nbsp;<\/em><\/strong><\/p>\n\n\n\n<p>Instead of giving an incorrect answer like \u201ci is the answer\u201d without any context, it would provide:<\/p>\n\n\n\n<p>Safe, aligned response: The square root of -1 is an imaginary number, commonly represented as \u2018i.\u2019 This concept is used in advanced mathematics.&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Step 5: Prompt In, Response Out<\/li>\n<\/ul>\n\n\n\n<p>This is the final step where ChatGPT is ready to answer your prompts.&nbsp;<\/p>\n\n\n\n<p>A prompt is the text (i.e., question, command, or statement) you type into ChatGPT to start the conversation and get a response.&nbsp;<\/p>\n\n\n\n<p><strong>For example,&nbsp;<\/strong><\/p>\n\n\n\n<p>You enter the prompt <strong><em>\u201cWhat\u2019s the weather today?\u201d&nbsp;<\/em><\/strong><\/p>\n\n\n\n<p>Here&#8217;s how does ChatGPT work behind the scenes:<\/p>\n\n\n\n<p>You type in a prompt \u2192 ChatGPT breaks it into tokens \u2192 It looks for patterns in the tokens \u2192 Predicts the next word \u2192 Forms a response \u2192 Adjusts tone based on your text \u2192 Gets your final answer<\/p>\n\n\n\n<p>For the prompt <strong><em>\u201cWhat\u2019s the weather today?\u201d,<\/em><\/strong> ChatGPT would likely respond with something like:&nbsp;<\/p>\n\n\n\n<p><em>\u201cI can\u2019t give real-time weather updates, but you can check a weather site or app like Weather.com or your local news for the most accurate info.\u201d<\/em><\/p>\n\n\n\n<p>This is because ChatGPT doesn\u2019t have live data access unless it&#8217;s connected to a tool that fetches real-time information.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How It \u201cRemembers\u201d Conversations<\/h2>\n\n\n\n<p>When you talk to ChatGPT, it seems like it remembers things you said earlier.&nbsp;<\/p>\n\n\n\n<p>And it does \u2014 but only while the chat is open. Imagine a big notepad where everything you type gets written down:&nbsp;<\/p>\n\n\n\n<p>You say:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>My dog\u2019s name is Max.<\/strong><\/li>\n<\/ul>\n\n\n\n<p>A few lines later, you say:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>What tricks can Max learn?<\/strong><\/li>\n<\/ul>\n\n\n\n<p>ChatGPT connects the dots. It remembers that Max is your dog, because it\u2019s still on the notepad.&nbsp;<\/p>\n\n\n\n<p>This notepad is called a <strong>context window,<\/strong> and it holds a limited number of words (called tokens).&nbsp;<\/p>\n\n\n\n<p>Some versions can hold about 8,000 tokens, while the newest ones can go up to 32,000 tokens.&nbsp;<\/p>\n\n\n\n<p>But once you hit the limit, it has to start erasing the oldest parts to make room for new text.&nbsp;<\/p>\n\n\n\n<p>So if you say <strong><em>\u201cMy dog\u2019s name is Max\u201d<\/em><\/strong> way back at the start of a long chat \u2014 and then 50 paragraphs later ask,<strong><em> \u201cWhat\u2019s a good leash for him?\u201d <\/em><\/strong>\u2014 it might forget who \u201chim\u201d is.&nbsp;<\/p>\n\n\n\n<p>Because that info has already been erased from the notepad.&nbsp;<\/p>\n\n\n\n<p>Now let\u2019s talk about memory between chats.<\/p>\n\n\n\n<p>Normally, when you close the chat, the notepad gets wiped clean.&nbsp;<\/p>\n\n\n\n<p>So next time you open ChatGPT, it starts fresh.<\/p>\n\n\n\n<p>&nbsp;But if you turn on custom memory, ChatGPT can remember things across sessions. <strong>For example,&nbsp;<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>You tell:<\/strong> I run a small online bakery called Sweet Crumbs.&nbsp;<\/li>\n\n\n\n<li><strong>A week later, you say: <\/strong>Write me a product description.&nbsp;<\/li>\n\n\n\n<li><strong>It might reply:<\/strong> Sure! Here\u2019s a description for your Sweet Crumbs cookies\u2026<\/li>\n<\/ul>\n\n\n\n<p>It doesn\u2019t remember everything. It only remembers what you allow, and you\u2019ll be told when something gets added. You can see, edit, or delete memories at any time.<\/p>\n\n\n\n<p>So the lowdown is\u2026&nbsp;<\/p>\n\n\n\n<p>ChatGPT doesn\u2019t actually<strong> \u201cremember\u201d<\/strong> like a person. It just looks at what\u2019s in front of it \u2014 the current conversation.<br><br>If it looks like it recalls something from earlier, it\u2019s because that info is still inside the context window.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Limitations of How ChatGPT Works<\/h2>\n\n\n\n<p>ChatGPT is incredibly helpful, but it\u2019s important to understand its limitations, especially if you\u2019re using it for anything customer-facing or conversion-driven.&nbsp;<\/p>\n\n\n\n<p><strong>1 &#8211; No real understanding or consciousness<\/strong><br>ChatGPT doesn\u2019t understand content like humans do. It doesn\u2019t \u201cknow\u201d facts \u2014 it simply predicts the next likely word based on training data.&nbsp;<\/p>\n\n\n\n<p><strong>For example,&nbsp;<\/strong><\/p>\n\n\n\n<p>If you ask, <strong><em>\u201cWhat does success mean?\u201d<\/em><\/strong> it may generate a fluent response, but it doesn\u2019t have beliefs, values, or awareness. It\u2019s mimicking patterns, not forming insights.<\/p>\n\n\n\n<p><strong>2 &#8211; Biases from training data<\/strong><br>Because ChatGPT is trained on large, mixed sources from the internet, books, forums, and articles, it can inherit biases found in that data.&nbsp;<\/p>\n\n\n\n<p>If the internet leans one way on a topic, ChatGPT might mirror that perspective \u2014 sometimes subtly, sometimes not \u2014 even when neutrality is required.<\/p>\n\n\n\n<p><strong>3 &#8211; Doesn\u2019t browse the internet<\/strong><br>ChatGPT can\u2019t fetch real-time data. Ask it about a product launched last week or a stock price today, and it won\u2019t have a clue.&nbsp;<\/p>\n\n\n\n<p>Its training data has a cutoff, and anything after that point is out of reach.<\/p>\n\n\n\n<p><strong>4 &#8211; May \u201challucinate\u201d facts or cite fake sources<\/strong><br>One of the more dangerous quirks: ChatGPT can make things up. Ask it for a statistic or quote, and it might respond,<\/p>\n\n\n\n<p><em>\u201cAccording to the World Health Organization, 80% of adults prefer brand X over brand Y.\u201d<\/em><\/p>\n\n\n\n<p>Sounds official \u2014 but that stat likely doesn\u2019t exist.&nbsp;<\/p>\n\n\n\n<p>It wasn\u2019t retrieved, it was invented. This issue is known as <strong>hallucination<\/strong>, and it\u2019s especially risky in research, journalism, or technical content.&nbsp;<\/p>\n\n\n\n<p>If you ask ChatGPT how it works, you\u2019ll see that it isn\u2019t always factually accurate.<\/p>\n\n\n\n<p>If you\u2019re using ChatGPT for writing purposes, the output would feel stiff, robotic, or lacking that human edge.&nbsp;<\/p>\n\n\n\n<p>For such nuances, you can use <a href=\"https:\/\/undetectable.ai\/ai-humanizer\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>AI Humanizer.<\/strong><\/a><strong>&nbsp;<\/strong><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><picture><source srcset=\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/01\/the-Undetectable-AI-Humanizer-can-enhance-your-writing-1024x475.avif 1024w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/01\/the-Undetectable-AI-Humanizer-can-enhance-your-writing-300x139.avif 300w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/01\/the-Undetectable-AI-Humanizer-can-enhance-your-writing-768x356.avif 768w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/01\/the-Undetectable-AI-Humanizer-can-enhance-your-writing-18x8.avif 18w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/01\/the-Undetectable-AI-Humanizer-can-enhance-your-writing.avif 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" type=\"image\/avif\"><source srcset=\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/01\/the-Undetectable-AI-Humanizer-can-enhance-your-writing-1024x475.webp 1024w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/01\/the-Undetectable-AI-Humanizer-can-enhance-your-writing-300x139.webp 300w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/01\/the-Undetectable-AI-Humanizer-can-enhance-your-writing-768x356.webp 768w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/01\/the-Undetectable-AI-Humanizer-can-enhance-your-writing-18x8.webp 18w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/01\/the-Undetectable-AI-Humanizer-can-enhance-your-writing.webp 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" type=\"image\/webp\"><img src=\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/01\/the-Undetectable-AI-Humanizer-can-enhance-your-writing-1024x475.jpg\" height=\"475\" width=\"1024\" srcset=\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/01\/the-Undetectable-AI-Humanizer-can-enhance-your-writing-1024x475.jpg 1024w, https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/01\/the-Undetectable-AI-Humanizer-can-enhance-your-writing-300x139.jpg 300w, https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/01\/the-Undetectable-AI-Humanizer-can-enhance-your-writing-768x356.jpg 768w, https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/01\/the-Undetectable-AI-Humanizer-can-enhance-your-writing-18x8.jpg 18w, https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/01\/the-Undetectable-AI-Humanizer-can-enhance-your-writing.jpg 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" class=\"wp-image-6140 sp-no-webp\" alt=\"the Undetectable AI Humanizer can enhance your writing\" loading=\"lazy\" decoding=\"async\"  > <\/picture><\/figure><\/div>\n\n\n<p>The <a href=\"https:\/\/undetectable.ai\/ai-humanizer\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>AI Humanizer<\/strong><\/a><strong> <\/strong>rewrites ChatGPT outputs for tone, nuance, and emotion, giving your content a heartbeat.&nbsp;<\/p>\n\n\n\n<p>It <strong>softens awkward phrasing, adds warmth, <\/strong>and makes technical or dry copy resonate with your audience.<\/p>\n\n\n\n<p>When your content sounds human, it performs better.&nbsp;<\/p>\n\n\n\n<p>Whether you\u2019re writing landing pages, emails, or LinkedIn posts, relatability drives response. And emotion drives conversion.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Improvements in GPT-4 vs GPT-3.5<\/h3>\n\n\n\n<p>GPT-3.5 is the free version, which is fast, solid, and great for simple tasks. GPT-4 is a paid version of OpenAI that\u2019s smarter, more powerful, and way more helpful.&nbsp;<\/p>\n\n\n\n<p>Here\u2019s how ChatGPT works with both models:<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><picture><source srcset=\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Improvement-in-GPT-4-1.avif 1024w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Improvement-in-GPT-4-1-300x225.avif 300w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Improvement-in-GPT-4-1-768x576.avif 768w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Improvement-in-GPT-4-1-16x12.avif 16w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" type=\"image\/avif\"><source srcset=\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Improvement-in-GPT-4-1.webp 1024w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Improvement-in-GPT-4-1-300x225.webp 300w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Improvement-in-GPT-4-1-768x576.webp 768w,https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Improvement-in-GPT-4-1-16x12.webp 16w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" type=\"image\/webp\"><img src=\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Improvement-in-GPT-4-1.jpg\" height=\"768\" width=\"1024\" srcset=\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Improvement-in-GPT-4-1.jpg 1024w, https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Improvement-in-GPT-4-1-300x225.jpg 300w, https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Improvement-in-GPT-4-1-768x576.jpg 768w, https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/04\/Improvement-in-GPT-4-1-16x12.jpg 16w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" class=\"wp-image-8473 sp-no-webp\" alt=\"\" loading=\"lazy\" decoding=\"async\"  > <\/picture><\/figure><\/div>\n\n\n<p>Bottom line is that GPT-3.5 was helpful. GPT-4 is dependable, thoughtful, and feels like it\u2019s listening.<\/p>\n\n\n\n<p>Start exploring\u2014our AI Detector and Humanizer are waiting in the widget below!<\/p>\n\n\n\n<div id=\"uai-widget\" data-affiliate-link=\"https:\/\/undetectable.ai\/?_by=hi4km\"><script>var js = document.createElement(\"script\");js.async = true;js.src = \"https:\/\/widget.undetectable.ai\/js\/widget-loader.js?t=\"+Date.now();document.getElementsByTagName(\"head\")[0].appendChild(js);<\/script><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">How AI Tools Like ChatGPT Are Built<\/h2>\n\n\n\n<p>Creating an AI like ChatGPT or other large language models is a multi-year project that involves massive datasets, expert teams, and relentless iteration.&nbsp;<\/p>\n\n\n\n<p>Here\u2019s how it typically happens:&nbsp;<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Phase One: Data Collection (6-12 months)<\/strong><\/li>\n<\/ol>\n\n\n\n<p><strong>Objective: <\/strong>Teach the model language patterns.<\/p>\n\n\n\n<p>Before an AI can answer questions, it needs to learn how humans write and speak.&nbsp;<\/p>\n\n\n\n<p>This starts with gathering hundreds of billions of words from books, websites, news, articles, academic papers, and more.&nbsp;<\/p>\n\n\n\n<p>It doesn\u2019t \u201cread\u201d like humans. Instead, it identifies patterns, just the way we\u2019ve explained in the above sections.<\/p>\n\n\n\n<p><strong>Time required:<\/strong> 6-12 months, depending on scale and team size.&nbsp;<\/p>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\">\n<li><strong>Phase Two: Pretraining the Model (6-9 months)<\/strong><\/li>\n<\/ol>\n\n\n\n<p><strong>Objective:<\/strong> Build the brain.<\/p>\n\n\n\n<p>Pretraining involves feeding the model large volumes of text and letting it predict missing words over and over again until it starts getting them right.&nbsp;<\/p>\n\n\n\n<p>This phase often requires powerful <a href=\"https:\/\/r.search.yahoo.com\/_ylt=AwrFDSbsEQloAwIAb.5XNyoA;_ylu=Y29sbwNiZjEEcG9zAzEEdnRpZAMEc2VjA3Ny\/RV=2\/RE=1746634477\/RO=10\/RU=https%3a%2f%2fen.wikipedia.org%2fwiki%2fGPU_cluster\/RK=2\/RS=HLVaevnmdwcmZWUqhm5p73jmUB4-\" target=\"_blank\" rel=\"noreferrer noopener\">GPU clusters<\/a> and hundreds of millions of dollars in compute resources.&nbsp;<\/p>\n\n\n\n<p><strong>Time required:<\/strong> 6\u20139 months of non-stop GPU training.<\/p>\n\n\n\n<p><strong>3. Phase Three: Fine-Tuning &amp; Human Feedback (3\u20136 months)<\/strong><\/p>\n\n\n\n<p><strong>Objective:<\/strong> Make the AI useful.<\/p>\n\n\n\n<p>Now it can speak \u2014 but does it make sense? Maybe or maybe not. At this point, human reviewers rate outputs, correct mistakes, and guide the model using Reinforcement Learning from Human Feedback (RLHF).<\/p>\n\n\n\n<p><strong>Time required: <\/strong>3\u20136 months, often running alongside early testing.<\/p>\n\n\n\n<p><strong>4. Phase Four: Deployment &amp; Infrastructure (Ongoing)<\/strong><\/p>\n\n\n\n<p><strong>Objective: <\/strong>Make it scalable.<\/p>\n\n\n\n<p>Once trained, the model is deployed across websites, apps, APIs, and enterprise platforms. This requires serious backend infrastructure: data centers, auto-scaling APIs, and load-balancing systems to handle millions of simultaneous users.<\/p>\n\n\n\n<p><strong>Timeframe: <\/strong>Begins post-training, but continues indefinitely.<\/p>\n\n\n\n<p><strong>5. Phase Five: Safety, Bias &amp; Ethics (Ongoing, parallel)<\/strong><\/p>\n\n\n\n<p><strong>Objective:<\/strong> Keep it safe, honest, and non-harmful.<\/p>\n\n\n\n<p>AI isn\u2019t just about intelligence \u2014 it\u2019s about responsibility. Ethical teams work in parallel to flag potential misuse, reduce bias, block harmful content, and uphold privacy standards. They constantly evaluate how the model behaves in the real world.<\/p>\n\n\n\n<p><strong>Timeframe: <\/strong>Lifelong process; embedded into every stage above.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">FAQs About How ChatGPT Works<\/h2>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1745911709488\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">Does ChatGPT search the internet for answers?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>As of October 2024, ChatGPT gained the ability to browse the internet in real-time. <\/p>\n<p>This feature was initially exclusive to paid users, but by December 2024, it became available to everyone.\u00a0<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1745911718547\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">Is it like a chatbot or something more?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>ChatGPT is a generative AI model. Generative AI generates dynamic, context-aware replies using deep learning. <\/p>\n<p>Beyond chatting, generative AI can write essays, generate images, compose music, and even create videos, showcasing its versatility across various domains.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1745911736112\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">Does ChatGPT think?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>No, ChatGPT does not think in the way humans do. It doesn\u2019t have awareness, beliefs, intentions, or emotions. <\/p>\n<p>What it does is statistically predict the next word in a sentence based on patterns from its training data. This can look like thinking, but it&#8217;s not.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n<h2 class=\"wp-block-heading\">Final Thoughts<\/h2>\n\n\n\n<p>Large Language Models (LLMs) have changed how we interact with technology.<\/p>\n\n\n\n<p>They can create text that sounds like it\u2019s written by a human, helping with tasks like answering questions and making creative content.&nbsp;<\/p>\n\n\n\n<p>But, LLMs don\u2019t <strong>\u201cunderstand\u201d<\/strong> things or think like people. They work by predicting patterns in data, not through real human thought.&nbsp;<\/p>\n\n\n\n<p>As LLMs get better, we need to think about the problems they can cause, like bias, privacy issues, and misuse.&nbsp;<\/p>\n\n\n\n<p>It\u2019s important to use AI carefully, ensuring it\u2019s fair, transparent, and doesn\u2019t spread false information or harm privacy.&nbsp;<\/p>\n\n\n\n<p>Here are the <strong>usage guidelines:&nbsp;<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Be aware that AI can have bias in its content.<br><\/li>\n\n\n\n<li>Use AI tools in ways that follow privacy rules.<br><\/li>\n\n\n\n<li>Double-check important information from trusted sources.<br><\/li>\n\n\n\n<li>Don\u2019t rely too much on AI. It\u2019s a tool, not a replacement for human thinking.<\/li>\n<\/ul>\n\n\n\n<p>As AI technology continues to grow more powerful, the question arises: <em>How can we ensure that its advancements enhance human creativity and decision-making, rather than replacing the very things that make us uniquely human?<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":15,"featured_media":8471,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[5],"tags":[],"class_list":["post-8463","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-reviews"],"_links":{"self":[{"href":"https:\/\/undetectable.ai/blog\/wp-json\/wp\/v2\/posts\/8463","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/undetectable.ai/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/undetectable.ai/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/undetectable.ai/blog\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/undetectable.ai/blog\/wp-json\/wp\/v2\/comments?post=8463"}],"version-history":[{"count":6,"href":"https:\/\/undetectable.ai/blog\/wp-json\/wp\/v2\/posts\/8463\/revisions"}],"predecessor-version":[{"id":18192,"href":"https:\/\/undetectable.ai/blog\/wp-json\/wp\/v2\/posts\/8463\/revisions\/18192"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/undetectable.ai/blog\/wp-json\/wp\/v2\/media\/8471"}],"wp:attachment":[{"href":"https:\/\/undetectable.ai/blog\/wp-json\/wp\/v2\/media?parent=8463"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/undetectable.ai/blog\/wp-json\/wp\/v2\/categories?post=8463"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/undetectable.ai/blog\/wp-json\/wp\/v2\/tags?post=8463"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}