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When people talk about AI Agents or Agentic AI, one question often comes up:
“What actually makes an AI agent intelligent?”
The short answer is: Large Language Models (LLMs).
LLMs are often called the “brain” of modern AI agents — and for good reason. Let’s understand why in simple terms:
When we talk about AI tools like ChatGPT, Gemini, or Copilot, we often hear two terms used almost interchangeably —
Generative AI and Large Language Models (LLMs).
But are they the same thing?
Not exactly.
Let’s understand the difference — in simple language.
If you’ve ever used ChatGPT, Gemini, or Claude, you’ve already interacted with what’s called a Large Language Model (LLM).
But have you ever wondered — how do these models actually work? How can they write essays, answer questions, or even generate code like humans?
Let’s break it down step by step — in simple language.
If you’ve used ChatGPT, Gemini, or Claude, you’ve already interacted with what’s called a Large Language Model, or LLM.
But what exactly is an LLM?
And how is it different from regular AI models?
Let’s understand this concept.
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