🧠 These days, everyone hears "AI" and instantly thinks: LLMs! 🤖 LLMs (Large Language Models) like GPT, Claude or Gemini are incredible — they read, write, summarize, and even code. 📄✍️ But AI ≠ only LLMs. Generative AI is much bigger: 🎨 Diffusion Models (for images - think DALL·E, Midjourney) 🎼 Generative Adversarial Networks (GANs) — for synthetic data, images, videos 🎙️ Text-to-audio, text-to-video, and more 🔬 Variational Autoencoders (VAEs) — for complex data generation And that's just generative AI. The AI universe is HUGE: 🧮 Traditional Machine Learning (regression, classification, XGBoost anyone? :) 🧠 Deep Learning (neural networks, CNNs, RNNs, transformers) 🕹️Agentic AI (autonomous agents making decisions) Bottom line 👉 The AI universe doesn’t start and end with LLMs. You need to understand the full stack to build real solutions.