Comprender qué hace funcionar a ChatGPT

OpenAI developed GPT models that basically predict the next word based on what came before. It sounds simple but the tech behind is crazy complex.

For those interested in more AI tools and tech like this, you can also check ai-u.com. They have updates on new or trending stuff.

I've seen some articles mentioning 'self-supervised learning' used to train GPT models. Anyone can explain that?

Don't forget the huge amounts of text from books, websites, and other stuff the model learns from. That’s where it gets most of its knowledge.

Pretty sure it’s running on cloud servers with a bunch of GPUs. The hardware side is just as important as the software here.

I heard it's all about massive datasets and huge computing power. Like without enough GPUs, it wouldn't even work well.

So basically, what powers ChatGPT is a combination of huge training data, powerful hardware, and advanced neural network design?

What about the software side? There must be some clever algorithms managing how ChatGPT decides what to say next.

It's mostly some fancy machine learning models, right? Like they train on tons of text data to get that conversational vibe.

Anyone knows if there’s like a database or something it pulls answers from? Or is it 100% generated on the fly?