100x less compute with GPT-level LLM performance: How a little known open source project could help solve the GPU power conundrum — 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 a memory that captures information about what has been calculated so far. In other words, they use their understanding from previous inputs to influence the output they will produce.

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

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