Panos Panay

The orchestrator picks the model that's right for the job. The how, I won't get into the details, but there's some awesomeness here. One of the things that inspired most people is that we're using a multi-model approach, which I think is a little bit novel. But at the end of the day, it depends on what the task is. It depends on what's being asked for.

The orchestrator picks the model that's right for the job. The how, I won't get into the details, but there's some awesomeness here. One of the things that inspired most people is that we're using a multi-model approach, which I think is a little bit novel. But at the end of the day, it depends on what the task is. It depends on what's being asked for.

The orchestrator picks the model that's right for the job. The how, I won't get into the details, but there's some awesomeness here. One of the things that inspired most people is that we're using a multi-model approach, which I think is a little bit novel. But at the end of the day, it depends on what the task is. It depends on what's being asked for.

Think right now, you're seeing 70% of the utterances running through Amazon Nova, 30% running through...

Think right now, you're seeing 70% of the utterances running through Amazon Nova, 30% running through...

Think right now, you're seeing 70% of the utterances running through Amazon Nova, 30% running through...

uh anthropic something at that rate it changes just depends on how you use the product and what you're using it for um it is also non-deterministic basically there's a model that's like what's the best model to pick and then you're looking for accuracy and speed understand you know just first understanding then accuracy then speed and you target um then you move it you pick the right model and then you fire to the expert and there's a small model in the expert if you will sometimes and then those all orchestrate together and that's how it works

uh anthropic something at that rate it changes just depends on how you use the product and what you're using it for um it is also non-deterministic basically there's a model that's like what's the best model to pick and then you're looking for accuracy and speed understand you know just first understanding then accuracy then speed and you target um then you move it you pick the right model and then you fire to the expert and there's a small model in the expert if you will sometimes and then those all orchestrate together and that's how it works

uh anthropic something at that rate it changes just depends on how you use the product and what you're using it for um it is also non-deterministic basically there's a model that's like what's the best model to pick and then you're looking for accuracy and speed understand you know just first understanding then accuracy then speed and you target um then you move it you pick the right model and then you fire to the expert and there's a small model in the expert if you will sometimes and then those all orchestrate together and that's how it works

Inside of that is the way that you talk to your partners. Mm-hmm.

Inside of that is the way that you talk to your partners. Mm-hmm.

Inside of that is the way that you talk to your partners. Mm-hmm.

Uber's been awesome.

Uber's been awesome.

Uber's been awesome.

And that is— Uber, OpenTable, Grubhub, like these things that you use every day, like they're just in-depth connected.

And that is— Uber, OpenTable, Grubhub, like these things that you use every day, like they're just in-depth connected.

And that is— Uber, OpenTable, Grubhub, like these things that you use every day, like they're just in-depth connected.

He was going to choose last minute depending on how the demos went. I think he did – did he do a Miele dishwasher?

He was going to choose last minute depending on how the demos went. I think he did – did he do a Miele dishwasher?