Artificial Intelligence, Deep Learning, Machine Learning, Mathematics, Gpt 4.
terms of modeling capability and performance when compared to Transformers, making it a less favorable alternative. Sacrificing Training Parallelism: Some approaches have revisited recurrent models for efficient inference but at the cost of sacrificing the training parallelism that makes