Introduction

0:00 You you type in a question, any question you can think of, and boom, pops up the answer. So, I'm going to talk a little bit in this video about how those models are trained and how we can train our brains like those models so we perform like they do. So, in this video, I'm going to go through a few things. Firstly, I'm going to talk about neural networks. And this is neural networks in your brain and neural networks in AI models.

0:47 I'm going to talk about training versus inference because this is super important for how you train your brain, how you become smarter and better at pretty much any task. I'm going to talk about how AI models are trained and then how to train your brain like an AI model. So, what can we learn from how AI models are trained and apply that to training our own brain. And I'm going to talk about overcoming some of the problems and limitations we have with our brains because our brains are not computers in the same sense that they run on, you know, electricity that we can just pump into them.

1:10 And we can't expect them to perform consistently all the time. And how do we overcome some of those limitations? Okay, so let's get straight into it. The first topic is just looking at neural networks and comparing the neural networks in our brain versus the neural networks in an AI computer. So, let's talk about the similarities. What are neural networks? Well, essentially they're made up of nodes or