Muhammad Umar explains how neural networks like ChatGPT learn from massive data by recognizing patterns, similar to how the human brain compresses information and generalizes without explicit rules.
The reality of AI systems is like if you keep bombarding neural network with lots of data, it would start making sense. Yeah, right. That's what I mean. ChatGPT. And ChatGPT was some major algorithmic changes and updates, but then there was a lot of data at the time. Right. You keep bombarding neural networks with data and it would start making sense. So that's what AI is all about. Right. And it's being developed exactly the way human brain works. Right. So that's the core of AI. Right. So we need to understand this before we go into agents and so on. That's how AI works. I mean, it's exactly, it's its model, exactly how human brain works. And if it is modeled the way human brain works, then human brain is very good in generalization. You don't need to write if and else. I mean, every time you see this, let's say, bottle in your mind, you don't have this if and else statement going on to see if there is a blue color, there's something fluid going on, and probably it's water. You don't do that. Right. It's pattern recognition. It's that information compression engine that you have. It immediately, instantly tells you that this is a bottle. Yeah. Now this is the foundation of AI.
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