Latent space is an abstract multi-dimensional space where data is mapped. In AI, it represents the underlying structure and relationships of the data, where the model performs its 'thinking' and manipulations.
Concept from topology and manifold learning.
Critical for understanding how generative models interpolate between concepts to create new outputs.