How to pronounce“next word”in English

next word next prediction that model is trained using federated learning meaning

the next word was gutsy and then an effort to refine that because that

what the next word is going to be and if what you're writing is not for consumption if it's for you or maybe for

Kite was the next word.

Which is the next word I'll put up there too.

So the next word is "passion."

producing the next word, and so on.

is predict the next word.

trained to predict the next word and got all these emergent properties, and oops, it did this, you know.

and predict the next word.

How can you predict the next word in a sentence?

They're trained in doing something called next word prediction.

and then check that with the next word.

definitely paving the way the next word was passionate passionate about her work passionate about her family passionate about her friends and genuine passion

It can never predict the next word exactly.

learning how to predict the next word that every kind of human on the internet says.

you know they try to predict a next word or so and this turns out to be equivalent to compressing

It turns out in order to guess the next word, you need a really good understanding of human culture.

And these models are very good at predicting the next word.

The thing that these systems were bad at predicting was the next word in a sentence.

I understand we are coming from”—notice the next word.

not contrived passion genuine down to the core passion the next word it's a

Let's just pick that out and say that's the next word.

you are in the task of predicting the next word.

really exceptional at the task of figuring out what's the next word so you might ask why would this be an important task why

would it be important to predict what's the next word and it turns out that a lot of problems uh can be formulated

it is constantly trying to solve the problem predict the next word right so it's just trying to

So Shannon learned that you can make better and better predictions about what the next word is going to be by taking into account more and more of the previous words.

I want you to embrace this principle that the less certain you are about the next idea coming out of your mouth or the next word you're going to use,

It's just the next word.

The only thing that those models were trained to do Is to predict the next word in a sentence.

So it essentially learns how to do marks implicitly just by trying to predict the next word in a sentence.

then what you have is a system that basically is trying to predict the next word in a text, right?

Okay, so how does it figure out the next word?

Just read a gigantic amount of text and try to predict the next word.

wait till we get to letter m then we look at the next word and sure enough it's an o and then an r but then that oh too bad

it has at hand it is to say what would be the next word uh what would be the next word and it becomes uh

they need to be large to be good because they're trying to predict the next word so we don't when you don't know anything

So let's pick that next word which I also relate to.

Really see it smash into the side of a house, because the next word was house.

lots of words together and then if you don't capitalize the first part of the next word, it can look weird.

But like the basic idea is it's creating kind of vectors at each time step in your text to predict the next word, and

So give them a paragraph of text or a sentence and their job is to predict the next word.

When you go out about your day today, the next words you say, the next word you say to me, the question I ask of you that's prompting.

the representation learning, the pretext training of being able to sort of predict the next word or predict the missing part of the image.

So you consume a sequence of words from the internet and you try to predict the next word.

- I mean maybe this is like trying to complete the next word in a sentence.

i think too quickly get accustomed to how impressive it is that the prediction of the next word can achieve such depth of semantics accuracy of syntax

and um a prediction sometimes you can pick very accurately sometimes you can't i can't predict what next word is going to come out of your mouth but as you