Open AI is expanding their custom model training program. So today on the podcast, I want to dive

into what this means, why this is important, and talk about some of the interesting use cases

that we're seeing from this fine-tuned model. There's a bunch of companies that are actually

using these fine-tuned models that you probably didn't know about. I personally didn't know

about. There's some very interesting use cases. I'll talk about the features, what's going on. Let's get into the podcast.

So the first thing that I want to talk about here is just the fact that obviously this is a use

case that a lot of people have been using. This is essentially the custom model program. And it's

set up essentially to help companies

create generative AI models that are tailored for specific use cases. So you can imagine

if a law firm or a healthcare provider wanted to use chat GPT but they're like, hey, it doesn't

know all this like really specific stuff about the healthcare industry. They would be able to provide extra data and they would fine tune a model.

It's essentially chat GPT or GPT4, but with all this extra industry specific knowledge.

And this is what, you know, they're kind of helping people to do.

So custom models and all of this was actually introduced at OpenAI's first developer conference.

If you remember, they had their big dev day.

And this essentially allowed businesses to work with Open AI researchers.

So this wasn't like you could do it yourself.

You pretty much had to go collaborate.

And I actually saw some, like, I saw some reports saying that like you had to spend like a million dollars or something crazy in

order to do this. So it definitely wasn't for everyone, but there was a bunch of people doing it.

So since they launched this, they did a big blog and they said, quote, dozens. So I'm assuming,

I don't know what, like dozens, like a handful of dozens. I don't know. There's probably like

...