Day-3 | Traditional AI vs Agentic AI vs Agentic RAG | Free AI Agents Zero to Hero Course скачать в хорошем качестве

Day-3 | Traditional AI vs Agentic AI vs Agentic RAG | Free AI Agents Zero to Hero Course

🚀 *Traditional AI vs. Agentic AI vs. Agentic RAG: What’s the difference?* 🤖 Stop getting lost in the AI hype. To build systems that actually scale, you need to understand the three layers of intelligence. Here’s the breakdown: *1️⃣ Traditional AI (The Map) 🗺️* *Nature:* Fixed pipelines trained for one specific task (fraud detection, spam filtering). *Limit:* It’s "frozen in time." When the world changes, the model degrades and needs retraining. *2️⃣ Agentic AI (The Driver) 🏎️* *Nature:* Goal-driven systems. You provide the outcome; it figures out the steps, plans execution, and uses tools autonomously. *Limit:* It can "reason" beautifully but still hallucinate if it doesn't have live, grounded data. *3️⃣ Agentic RAG (The Local Guide with GPS) 📍* *Nature:* The ultimate combo. It connects autonomy to your live data (documents, databases) and writes outcomes back into memory. *Result:* It doesn't just execute; it adapts and compounds intelligence over time. *💡 The Big Picture:* *Agency* gives movement. *RAG* gives grounding. *Memory* gives continuity. *The Future?* It’s not about choosing one—it’s about layering all three to build systems that don't just work, they evolve. *Want to master these architectures?* Watch the full *AI Agents: Zero to Hero* series on our channel! 📈    • Day-0 | Course Details | Free AI Agents Ze...   #AIAgents #RAG #MachineLearning #GenerativeAI #AIEngineering #ZeroToHero