Attention Mechanism

The attention mechanism is a key innovation in deep learning that has led to significant improvements in the performance of neural networks on a wide range of tasks, including machine translation and text summarization. It allows the model to "pay attention" to the most important parts of the input when generating the output.

The attention mechanism is a key component of many of the recent advances in AI, including large language models and text-to-image generators.