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a lower-dimensional space that captures the essential features of the input data

ELI5: you can think of latent space as a map where similar pieces of data lives together

Navigating this is pretty hard, given that dimensionality of the feature space are usually a lot smaller comparing to the original representations of the model.

see also Embedding