US /ˌsɪməˈlærɪti/
・UK /ˌsɪmə'lærətɪ/
That's because of the uncanny similarity between Stay With Me and Petty's 1989 hits,
That's because of the uncanny similarity between Stay With Me and Petty's 1989 hits, I Won't Back Down.
He showed them to French anatomist Georges Cuvier, who noticed the bones' similarity with living lizards.
He showed them to French anatomist Georges Cuvier, who noticed the bone's similarity with living lizards.
For example, summarize a text of x, generate a poem in the style of x, give me a list of keywords based on semantic similarity for x.
For example, summarize a text of X, generate a poem in the style of X, give me a list of keywords based on semantic similarity for X.
know, showing preference -- we're again showing similarity. "Like Canada, England has many
We're again showing similarity.
So they're going to ask you, this is sort of this question here, what's the difference or similarity between what you say you're feeling is and what you really do?
What's the difference or similarity between what you
HAPPEN. BUT THERE IS SOME SIMILARITY, AND I DON'T CONSIDER
But there's some similarity,
similarity between this sentence and this one okay so in this case they are interchangeable
Hopefully, you would have spotted the similarity between this sentence and this one.
And that experiment that I described, of taking the human gene and putting it into a yeast cell, and showing that that human gene could control the reproduction of the yeast cell just as well as it could control a human cell, even though they diverged 1,500 million years ago, is another example of the extraordinary similarity between living things.
And that experiment that I described of, uh, taking the human gene and putting it into a, a yeast cell and showing that that human gene could control the reproduction of the yeast cell just as well as it could control a human cell, even though they diverged 1,500 million years ago, is another example of the extraordinary similarity between living things.
The clever idea from here is to make use of the similarity not just between the corresponding images and captions, but between all image-caption pairs in the batch when training our models.
The CLIP training objective seeks to maximize the similarity between corresponding image-caption pairs, while simultaneously minimizing the similarity between non-corresponding image-caption pairs.
We measure similarity by looking at the angle between the two vectors.
We measure similarity by looking at the angle between the two vectors.