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