Researchers have introduced RWKV, a type of recurrent neural network (RNN) that combines the benefits of traditional RNNs and transformers. Unlike transformers, which are typically more computationally expensive, RWKV achieves similar performance at a lower cost. This is made possible by using a combination of recurrence and self-attention mechanisms. --- Why it matters: This matters to engineers because it provides an alternative to transformer-based models that can be more efficient in terms of computational resources. Source: https://huggingface.co/blog/rwkv