10 New Approaches for Making Transformers More Efficient

Transformers are always at the center of attention, as they have proven to be effective in handling sequential data, such as text, images, or time series. Today, they are the backbone of many state-of-the-art AI models, and they continue to evolve constantly. Researchers, aiming to improve transformers, consistently develop new methods to increase their efficiency. They focus on various areas, from improving the attention mechanism to enhancing memory and long-context capabilities.

So here is a list of 10 novel approaches for improving Transformers’ efficiency: