[rahimnathwani]

They made a way to take any sentence, and output a small array of numbers that represent its essence. You can use their model to find the essence of your own sentences. And then use it either directly (e.g. compare the essence of two sentences to see if they're saying roughly the same thing) or use it as a starting point for the model you need (e.g. if you're building a system to convert English sentences into French, your neural network might generate the essence of the English sentence as part of its work. By using the pre-trained model, you have a better starting point for that part of the network than just random numbers, so your training time will be greatly reduced).

[laboo]

What do you mean by "its essence"? Is this a semantic essence?

[tree_of_item]

The array of numbers represents some opaque statistical property of the sentence with respect to the others in the corpus the model was trained from. The hope is that this property will correlate with what we believe to be the sentence's meaning.

[ttul]

Yes