Artificial intelligence
fromHackernoon
1 year agoNew AI Method Lets Models Decide What to Think About | HackerNoon
Mixture-of-Depths Transformers improve efficiency in transformer architectures by dynamically allocating computational resources.
Although our Transformer-based deep learning model provides state-of-the-art performance in both resolution enhancement and noise reduction for moderate noise levels, restoration becomes impossible when the noise level exceeds a threshold.
The potential of speeding up transformer inference lies in identifying where task recognition occurs in the model, which helps in optimizing processing and reducing redundancy.