know naive or basically impossible for that model to then potentially generalize the same question asked about a toad instead but if we have this dense distributed representation that is bringing together these words kind of into this similar feature space then you might expect that well if the you know representation frog is very similar the representation for toad the model might just be able to generalize and handle that and you know there's even more relations and properties which is beyond just similarity in that embedding space