RAG VS LLM explained in 60 seconds 💻 #LLM #AI #RAG

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What’s the difference between a Large Language Model (LLM) and RAG (Retrieval-Augmented Generation) — and why does it matter for AI apps? 🤔

In this video, I break down LLM vs RAG in a clear, simple way so developers and tech enthusiasts can finally understand how they work — and when to use each one.

🧠 LLMs (like GPT) generate answers based only on what they were trained on.
📚 RAG systems combine an LLM plus external data — helping AI stay accurate, reduce hallucinations, and use real-time knowledge.

You’ll learn:
✔️ What an LLM is
✔️ What Retrieval-Augmented Generation (RAG) is
✔️ Key differences: accuracy, hallucinations, context length, cost & scalability
✔️ Real-world examples of RAG in production
✔️ When to use LLMs alone vs when you should use RAG
✔️ Why RAG is becoming essential for AI-powered apps

Perfect for developers, software engineers, ML engineers, and anyone building chatbots, AI search, knowledge assistants, enterprise AI tools, or vector database apps.

🔥 Build smarter AI — not just bigger AI.

Видео RAG VS LLM explained in 60 seconds 💻 #LLM #AI #RAG канала Tech With Ninjas