حدّد كل جملة اصطناعية.

The transformer architecture fundamentally changed how we approach sequence modelling tasks.

Attention mechanisms enable the model to weigh the relevance of each token dynamically.

However, computational complexity grows quadratically with sequence length.

My own experiments with sparse attention showed mixed results on smaller corpora.

This limitation has prompted a wave of research into more efficient attention variants.

The results require further validation on domain-specific benchmarks.