| Perceiver IO overcomes this limitation without | |
| sacrificing the original's appealing properties by learning to flexibly query the model's latent space to produce | |
| outputs of arbitrary size and semantics. |
| Perceiver IO overcomes this limitation without | |
| sacrificing the original's appealing properties by learning to flexibly query the model's latent space to produce | |
| outputs of arbitrary size and semantics. |