<\/span><\/h2>\r\n\r\n\r\n\r\nAI (Artificial Intelligence) is a broad goal of making machines behave exactly like humans in such a way that it seems intelligent and acts smart. The term “AI” was coined in 1956, and early AI systems didn\u2019t learn anything at all. This includes reasoning, solving problems, understanding different language, recognizing images and making decisions. It is a goal, not a single technique.<\/p>\r\n\r\n\r\n\r\n
Let us understand it with a simple example:<\/strong>\u00a0<\/p>\r\n\r\n\r\n\r\nThink of a basic chess game on your mobile phone. The programmer wrote rules like \u201cif the opponent does this, do that.\u201d The game isn\u2019t learning anything, but it still seems smart. That is AI.<\/p>\r\n\r\n\r\n\r\n
Apart from this, there are many different day-to-day life examples explaining AI including\u00a0<\/p>\r\n\r\n\r\n\r\n
\r\nGoogle Maps finding the fastest route<\/li>\r\n\r\n\r\n\r\n Voice assistants like Siri or Alexa<\/li>\r\n\r\n\r\n\r\n Face unlock on your phone<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\nArtificial Intelligence (AI) = machines doing smart things<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/figure>\r\n\r\n\r\n\r\n<\/span>What is Machine Learning?<\/span><\/h2>\r\n\r\n\r\n\r\nMachine learning is a subgroup of AI where machines learn patterns from data instead of being directly programmed with rules.<\/p>\r\n\r\n\r\n\r\n
In simpler language, think about how you\u2019d teach a child to recognize a dog. You don\u2019t hand them a rulebook saying \u201cfour legs, fur, tail, barks.\u201d You show them many dogs, and eventually they just get it. It\u2019s the same for Machine Learning: you just need to feed an algorithm lots of examples, and it finds the patterns on its own. Some of the most common examples of machine learning are the notifications sent on your mobile in day-to-day life:\u00a0<\/p>\r\n\r\n\r\n\r\n
\r\nYouTube and Netflix recommendations.<\/li>\r\n\r\n\r\n\r\n Your bank detecting a suspicious payment.<\/li>\r\n\r\n\r\n\r\n Delivery apps predicting how long your food will take.<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\nMachine Learning (ML) = machines that learn from data<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/figure>\r\n\r\n\r\n\r\n<\/span>What is Generative AI?<\/span><\/h2>\r\n\r\n\r\n\r\nGenerative AI is a type of machine learning that is used in creating new content, such as text, images, audio, video and code, rather than just analyzing or classifying existing data.<\/p>\r\n\r\n\r\n\r\n
Traditional machine learning is mostly analytical, as it looks at data and then tells something about it: \u201cThis email is spam,\u201d \u201cThis customer will likely churn,\u201d \u201cThis X-ray looks abnormal.\u201d On the other hand, Generative AI is much more creative. You give it a prompt, and it produces something that didn\u2019t exist before.<\/p>\r\n\r\n\r\n\r\n
Let us understand Generative AI with a simple example:<\/strong> Just type \u201cWrite a short story about a robot who loves cricket,\u201d and the AI will write a brand new story that did not exist before.<\/p>\r\n\r\n\r\n\r\nApart from this, there are many more day-to-day life examples explaining Generative AI including:\u00a0\u00a0<\/p>\r\n\r\n\r\n\r\n
\r\nChatbots like Claude and ChatGPT that answer questions and help with homework<\/li>\r\n\r\n\r\n\r\n Tools that turn your words into pictures<\/li>\r\n\r\n\r\n\r\n AI that helps write and fix computer code<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\nGenerative AI = machines that create<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/figure>\r\n\r\n\r\n\r\n<\/span>Difference Between AI, Machine Learning and Generative AI<\/span><\/h2>\r\n\r\n\r\n\r\nHere we have discussed a detailed table explaining key differences between artificial intelligence, machine learning, and generative AI.\u00a0<\/p>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\nDifference Between AI, Machine Learning and Generative AI<\/strong><\/td>\r\n<\/tr>\r\n\r\nFeature<\/strong><\/td>\r\nArtificial Intelligence (AI)<\/strong><\/td>\r\nMachine Learning (ML)<\/strong><\/td>\r\nGenerative AI<\/strong><\/td>\r\n<\/tr>\r\n\r\nWhat is it?<\/td>\r\n AI is a broad field that makes machines act smart.<\/td>\r\n It is part of AI where machines learn from data.<\/td>\r\n It is a part of AI that uses learned patterns to create new content.<\/td>\r\n<\/tr>\r\n \r\nSimple definition<\/td>\r\n AI is a machine that can think or decide<\/td>\r\n Machines that learn from examples.<\/td>\r\n Generative AI is a machine that creates new things.<\/td>\r\n<\/tr>\r\n \r\nMain goal<\/td>\r\n Its main goal is to imitate human intelligence<\/td>\r\n To find patterns and make predictions<\/td>\r\n Main goal of generative AI is to create text, images, music, videos or code<\/td>\r\n<\/tr>\r\n \r\nHow does it work?<\/td>\r\n Uses predefined rules or learns from data<\/td>\r\n Analyzes data to identify patterns<\/td>\r\n Learns patterns from large amounts of data and uses them to generate new content<\/td>\r\n<\/tr>\r\n \r\nDoes it need data?<\/td>\r\n Not always<\/td>\r\n Yes<\/td>\r\n Yes<\/td>\r\n<\/tr>\r\n \r\nWhat does it give as output?<\/td>\r\n Decisions or actions<\/td>\r\n Predictions or classifications like spam or not spam<\/td>\r\n New content like essays, images, songs or code<\/td>\r\n<\/tr>\r\n \r\nIs output new?<\/td>\r\n Follows predefined rules or instructions<\/td>\r\n Predicts or classifies based on learned patterns<\/td>\r\n Generates new combinations of content as per learned patterns<\/td>\r\n<\/tr>\r\n \r\nReal-life example<\/td>\r\n A chess game<\/td>\r\n An email spam filter<\/td>\r\n ChatGPT or Claude generating an essay<\/td>\r\n<\/tr>\r\n \r\nUses\u00a0<\/td>\r\n Google Maps, face unlock<\/td>\r\n Netflix recommendations, fraud detection<\/td>\r\n Chatbots, AI image generators, coding assistants<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/figure>\r\n\r\n\r\n\r\n<\/span>How They Relate To Each Other?<\/span><\/h2>\r\n\r\n\r\n\r\nAs all three artificial intelligences, machine learning and generative AI are from the same family, they possess a few similarities. We have explained how they relate to each other in the article below.\u00a0<\/p>\r\n\r\n\r\n\r\n
<\/span>They are like boxes inside boxes\u00a0<\/span><\/h3>\r\n\r\n\r\n\r\nArtificial intelligence (AI) is the biggest box. ML is a smaller one inside it. While Generative AI is an even smaller box that fits inside ML.<\/p>\r\n\r\n\r\n\r\n
<\/span>AI is the main idea<\/span><\/h3>\r\n\r\n\r\n\r\nAI just means making a machine act smart.<\/p>\r\n\r\n\r\n\r\n
<\/span>ML is one way to make AI<\/span><\/h3>\r\n\r\n\r\n\r\nIn machine learning computer learns from examples instead of following rules written by any person.<\/p>\r\n\r\n\r\n\r\n
<\/span>Generative AI is a kind of ML<\/span><\/h3>\r\n\r\n\r\n\r\nGenerative AI also learns from examples, but it goes one step further: it creates new things like stories, pictures, music and much more.<\/p>\r\n\r\n\r\n\r\n
<\/span>One-way connection<\/span><\/h3>\r\n\r\n\r\n\r\n\r\nGenerative AI is always ML.<\/li>\r\n\r\n\r\n\r\n ML is always AI.<\/li>\r\n\r\n\r\n\r\n But AI is not always ML and ML is not always Generative AI.<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n<\/span>They can work together in one app.<\/span><\/h3>\r\n\r\n\r\n\r\nIn a food delivery app:<\/p>\r\n\r\n\r\n\r\n
\r\nAI is the whole smart app.<\/li>\r\n\r\n\r\n\r\n ML guesses your delivery time.<\/li>\r\n\r\n\r\n\r\n Generative AI writes the chat reply to your question.<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n<\/span>AI vs Machine Learning vs Generative AI: FAQs<\/strong><\/span><\/h2>\r\n\r\n\r\n\r\nQues 1: What is most common difference between AI, machine learning, and generative AI?<\/strong><\/p>\r\n\r\n\r\n\r\nAnswer: Machine learning predicts or sorts what already exists, while Generative AI creates something new. And AI is an umbrella that covers both.\u00a0<\/p>\r\n\r\n\r\n\r\n
Ques 2: Define Artificial Intelligence.<\/strong><\/p>\r\n\r\n\r\n\r\nAnswer: Artificial Intelligence (AI) is equal to a machine doing smart things.<\/p>\r\n\r\n\r\n\r\n
Ques 3: Give me a few everyday examples of Generative AI.<\/strong><\/p>\r\n\r\n\r\n\r\nAnswer: Chatbots, AI image generators and coding assistants are some of best examples to understand Generative AI.<\/p>\r\n\r\n\r\n\r\n
Ques 4: What is machine learning?<\/strong><\/p>\r\n\r\n\r\n\r\nAnswer: Machine Learning (ML) can be simply understood as a machine that learns from data to find patterns and make predictions accordingly.\u00a0<\/p>\r\n","protected":false},"excerpt":{"rendered":"
You\u2019ve probably seen all three terms, AI, generative AI, and machine learning, used as if they mean the same thing. […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"_pst_post_id":"","_pst_featured":"","_pst_featured_sort":"","_pst_status":"","_pst_author":"","footnotes":""},"categories":[7],"tags":[],"class_list":["post-287","post","type-post","status-publish","format-standard","hentry","category-events"],"yoast_head":"\n
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