Reduce compute by 100x with GPT-level LLM performance: How a little-known open source project can help solve GPU power challenges — RWKV looks promising, but challenges remain

Recurrent neural networks (RNNs) are a type of artificial intelligence primarily used in the field of deep learning. Unlike traditional neural networks, RNNs have memory that captures information about what has been computed so far. In other words, they use their understanding from previous inputs to influence the outputs they produce.

RNNs are called “recurrent” because they perform the same task on every element in a sequence and the output depends on previous computations. RNNs are still used to power smart technologies like Apple's Siri and Google Translate.

Leave a Comment