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Simple breakdown of different elements in AI systems today. Extremely easy to understand. Here’s more: 𝗟𝗟𝗠𝘀 → Great at text generation and reasoning, but limited to training data. 𝗥𝗔𝗚 (𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻) → Brings in external knowledge for more relevant answers. 𝗧𝗼𝗼𝗹 / 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗖𝗮𝗹𝗹𝗶𝗻𝗴 → Connects LLMs with APIs and services for real-world interaction. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 → Show autonomy with goal-driven planning and adaptive tool usage. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 & 𝗚𝗿𝗮𝗽𝗵 𝗥𝗔𝗚 → Smarter retrieval and knowledge graph reasoning for deeper insights. 𝗠𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 → Specialized agents collaborating like teams to solve complex problems. 𝗠𝗖𝗣 (𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹) → The next frontier: unified knowledge sharing across platforms. Look at the chart below for more information. Anything you would like to add? Repost this to help others in your network understand AI better.