Language Model, Transformers, Deep Learning, Artificial Intelligence, Machine Learning.
context between different time steps. Compared to Transformers, RWKV offers linear attention and constant computational and memory complexity during inference, making it more efficient for large-scale models. There are two primary components of a RWKV block: time-mixing and channel-mixing.