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People think these 3 AI terms are same, they're not. I’ve explained differences for each. 1. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 Using AI to create content across text, images, audio, and video. • 𝗘𝗻𝗰𝗼𝗱𝗶𝗻𝗴-𝗗𝗲𝗰𝗼𝗱𝗶𝗻𝗴 + 𝗟𝗮𝘁𝗲𝗻𝘁 𝗦𝗽𝗮𝗰𝗲: Learn patterns and creativity. • 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Same foundation as LLMs. • 𝗦𝘆𝗻𝘁𝗵𝗲𝘁𝗶𝗰 𝗗𝗮𝘁𝗮: Generate new training data. • 𝗗𝗶𝗳𝗳𝘂𝘀𝗶𝗼𝗻 + 𝗚𝗔𝗡𝘀: Power image and video generation. • 𝗭𝗲𝗿𝗼 / 𝗙𝗲𝘄-𝘀𝗵𝗼𝘁 + 𝗥𝗟𝗛𝗙: Improve output quality. • 𝗙𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴 + 𝗦𝘁𝘆𝗹𝗲 𝗧𝗿𝗮𝗻𝘀𝗳𝗲𝗿: Customize for brands and styles. • 𝗠𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗔𝗜: Works with text, image, audio, video. • 𝗧𝗲𝘅𝘁-𝘁𝗼-𝗜𝗺𝗮𝗴𝗲 / 𝗩𝗶𝗱𝗲𝗼: Create media from prompts. • 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Better prompts = better content. Generative AI mainly 𝗰𝗿𝗲𝗮𝘁𝗲𝘀 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝘄𝗵𝗲𝗻 𝗮𝘀𝗸𝗲𝗱. 2. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 AI systems that plan, decide, and execute tasks independently. • 𝗜𝗻𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝘁 𝗚𝗼𝗮𝗹𝘀 + 𝗔𝗱𝗮𝗽𝘁𝗶𝘃𝗲 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴: Break big goals into tasks. • 𝗛𝗶𝗲𝗿𝗮𝗿𝗰𝗵𝗶𝗰𝗮𝗹 𝗔𝗴𝗲𝗻𝘁𝘀: Multiple decision-making layers. • 𝗧𝗼𝗼𝗹 𝗨𝘀𝗲 + 𝗧𝗮𝘀𝗸 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻: Can browse, code, email, automate. • 𝗟𝗼𝗻𝗴-𝘁𝗲𝗿𝗺 𝗠𝗲𝗺𝗼𝗿𝘆: Remembers past work and context. • 𝗦𝗲𝗹𝗳-𝗥𝗲𝘃𝗶𝗲𝘄 + 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗠𝗲𝘁𝗿𝗶𝗰𝘀: Improves automatically. • 𝗖𝗼𝗧 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴: Thinks step-by-step before acting. • 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗖𝗼𝗹𝗹𝗮𝗯: AI agents work as a team. • 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 + 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: Tracks progress and manages workflows. • 𝗛𝘂𝗺𝗮𝗻-𝗶𝗻-𝘁𝗵𝗲-𝗟𝗼𝗼𝗽: Humans supervise key decisions. • 𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗖𝘆𝗰𝗹𝗲: Plan → Act → Observe → Improve. Agentic AI mainly 𝗽𝗹𝗮𝗻𝘀 𝗮𝗻𝗱 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝘀 𝘄𝗼𝗿𝗸 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀𝗹𝘆. 3. 𝗟𝗟𝗠𝘀 The core models that understand language and generate responses. • 𝗣𝗿𝗲-𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 & 𝗙𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴: Learn from massive datasets and get refined. • 𝗧𝗼𝗸𝗲𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 + 𝗔𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻: Break text into tokens and focus on important words. • 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 + 𝗩𝗲𝗰𝘁𝗼𝗿𝘀: Convert language into numbers and patterns. • 𝗣𝗼𝘀𝗶𝘁𝗶𝗼𝗻 𝗘𝗻𝗰𝗼𝗱𝗶𝗻𝗴: Understand word order and context. • 𝗭𝗲𝗿𝗼 / 𝗙𝗲𝘄-𝘀𝗵𝗼𝘁: Perform new tasks with little training. • 𝗥𝗔𝗚 + 𝗥𝗟𝗛𝗙: Use external knowledge and human feedback. • 𝗛𝗮𝗹𝗹𝘂𝗰𝗶𝗻𝗮𝘁𝗶𝗼𝗻 𝗥𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻: Improve reliability and accuracy. • 𝗠𝗼𝗱𝗲𝗹 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Size reduction, evaluation, and context limits. • 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Communicating effectively with models. LLMs mainly 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗮𝗻𝗱 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲 𝘁𝗲𝘅𝘁 𝘄𝗵𝗲𝗻 𝗽𝗿𝗼𝗺𝗽𝘁𝗲𝗱. ✅ 𝗜𝗻 𝘀𝗵𝗼𝗿𝘁: • 𝗟𝗟𝗠𝘀 → The brain that understands & writes • 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 → Creates content • 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 → Plans & executes work ✅ Repost for people so that they can such basic differences.