Ok! I think I get it, for the most part. Can you explain kind 1987 a bit further, though?

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It's a way of measuring the similarity between objects, such as two long-form articles, by converting the content into numbers and then plotting them on a diagram. Closer objects are more-similar than objects that are further apart.

Vector embeddings are lists of those calculated numbers.

Gotcha! I had something very different in mind.

It's literally vectors, like in linear algebra.

Yea, I got that. It was your mentioning that it was needed for Visualization development that threw me off a little.

Lol thanks for explaining everything in small words.

🫡