How to pronounce“generalizing”in English

generalizing properly that'll make good predictions if it's a model that picks up on spurious correlations that will not generalize properly and then you can

and generalizing far outside the training distribution,

actually generalizing it to the robotic setting is actually gonna be the same as as the bottleneck for everything else that we need to be able to build

bias you're generalizing from a correlation that you see or infer and this we do all the

preventing us humans from generalizing abstracting evolving growing and also accepting others to change over time to evolve and to grow and without for

And we're generalizing BA program, we don't do specific tracks, that's one of our only certificate programs.

And I caution against generalizing from the, the sort of wonderful stories of the Netherlands, and Singapore and so forth.

instead of generalizing what humans are able to do to the full spectrum of what intelligent creatures, entities could do?

they're not generalizing in the way they need to, they're certainly not learning like human children.

to do now generalizing that over saying like this we've solved intelligence that's another uh big leap but is there something

move it around generalizing that to the human body is harder but perhaps not so so not as hard as we

improved by kind of generalizing it more right so the master the analogy i use is that the master coin protocol was like the swiss army knife you have

maybe that's just I'm just generalizing for myself but uh I know that I was an unbelievably innocent 18-year-old um in every way but not

success in phase three trials just generalizing on your point though about one of the things i've seen in biotech is technologies are too easily written

so we are capable of generalizing very much out of distribution if you consider our evolutionary history as being in a way else training data

do not seem to be effective for generalizing far outside of the things that's already seen but generalize a little bit

the system so you are generalizing to known unknowns for one specific task that's what you

protocol could be improved by kind of generalizing it more right so the best the analogy I use is that the master coin protocol was like this Swiss Army

have a long way to go in AI is generalizing.

What do we get out of the model by generalizing it in this way?

So they were sampling very narrow range of situations and generalizing that.

i don't think there are and look i'm not generalizing their exceptions but we are having trouble with quality higher education in brazil in general

kind of pure a pure geometry problem and they found by generalizing the mathematics they could actually reformulate it in that way and it worked perfectly well

by the creators of the system within one specific task so generalizing to the long tail of situations

That is so interesting, so I can imagine generalizing that.

um and i think that's something that i might be too generalizing here but i feel like in in the german culture where i grew up

overgeneralize here right there's no set answers but you know in generalizing I would say the following that Angels tend to have and conduct less rigid due

that feeds the Venture business and as I said with the risk of generalizing with notable exception there are people there are you know in many cases senior

versus uh versus a very like small studies that are kind of generalizing from the very from very noisy data and all

I've spoken to a lot of mixed audiences, and I realize that I am generalizing here.

to say for the most part, and I'm generalizing here, there are some who make good comments and observations.

being tough I mean you know some people like me where we're supposed to be good at reading and you know generalizing

So I'm generalizing here.

- But to you, the exception, just ethically without generalizing it, that is a valid ethically exception.

Um, a lot of my, again this is like it's generalizing but

And almost without exception, and men you have to forgive me, the men in the audience, because I'm generalizing.

So when you have very rich models, there's a tradeoff between predicting well in the data you have and generalizing elsewhere, and the optimal model is somewhere in between.

as the loss gets lower and lower, but I don't think the loss is low enough such that they're really fully generalizing on code.

You can actually get better validation metrics, meaning you're fitting the data better, and it's generalizing better on offline data if you use this convolutional architecture.

- Right, yes, generalizing.