Grant Harvey

Any kind of digital services as well?

Yeah, there's a lot of it's going to be interesting.

And to our listeners, if this conversation sparked ideas about what you could build at your company, you might even be a part of that 48% soon.

If you enjoyed today's podcast, we'd appreciate if you'd take a moment, like, subscribe, do all of the things.

You know what to do.

And don't forget to check out the Neurons Daily AI newsletter.

Join more than a half a million other people who sit down with it every morning.

And that's all we have for today, folks.

But there's always more to come.

Farewell for now, humans.

The way I think of it is, so large language models, they're not like traditional machine learning, right?

They're non-deterministic.

They're based on neural nets.

They do some funky things.

I think of a large language model like an enthusiastic teenager.

Yeah, he really wants to answer questions, and he wants to get smart.

But if you want a teenager to learn something, like there are some ways you can teach them, right?

You could, for example, you could take them to a library, or you could give them a load of homework, or you could set them a test.

We kind of do all those three things.

When you hear supervised fine-tuning or reinforcement learning about human feedback or evaluations, that's actually one of those three things.