File:RWKV architecture for language modelling.png

English: The Receptance Weighted Key Value (RWKV) architecture represents a groundbreaking fusion of the best of both worlds in deep learning. RWKV marries the efficient parallelizable training methods of Transformers with the inference efficiency typically associated with Recurrent Neural Networks (RNNs). This ingenious approach capitalizes on a linear attention mechanism, enabling the model to be seamlessly formulated as either a Transformer or an RNN. During training, this flexibility paves the way for parallelized computations, significantly enhancing efficiency.