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by mortenjorck 1033 days ago
I suppose an unavoidable effect of the dimensionality reduction process is that clusters of correlations across dozens of dimensions are by nature hard to describe.

This actually seems like a potentially great application for LLMs – generating a semantic description of an n-dimensional correlation.

1 comments

This does sound like a fun use case, but I wouldn't even mind being allowed to browse 2d representations to get an intuition of the clusterings
By the way, if you're browsing from the desktop, there's a 3D/2D toggle in the top left corner of the Overview page.