Transformer models

The remarkable success of large-scale pretraining followed by task-specific fine-tuning for language modeling has established this approach as a regular practice. Similarly, computer vision methods are progressively embracing extensive data scales for pretraining. The...

As transformer models grow in size and complexity, they face significant challenges by way of computational efficiency and memory usage, particularly when coping with long sequences. Flash Attention is a optimization technique that guarantees...