👉 Skip engineering is a design technique used in neural networks, particularly in sequence-to-sequence models, to efficiently handle long input sequences by bypassing intermediate layers. Instead of processing each element in the input sequence one by one, skip engineering allows the model to directly access earlier or later elements, effectively "skipping" over parts of the sequence that are not immediately needed. This approach reduces computational complexity and memory usage, enabling the model to process longer sequences more efficiently while maintaining performance. By strategically placing skip connections, skip engineering helps preserve information from earlier parts of the input that might otherwise be lost or underutilized in a standard encoder-decoder architecture.
