The e-books in Alexandria are kind 30040/30041. Then there is kind 1987, for vector embeddings (we need those the LLM implementation and the Visualization development). We have some additional kinds coming up in the Euler edition, focusing on source references.

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

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.

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