Reinventing RNNs for the Transformer Era: RWKV Model
Machine Heart Report Machine Heart Editorial Department Transformer models have revolutionized almost all natural language processing (NLP) tasks, but their memory and computational complexity grows quadratically with sequence length. In contrast, Recurrent Neural Networks (RNNs) grow linearly in memory and computational requirements, but due to limitations in parallelization and scalability, it is difficult to achieve … Read more
