TLDR Tech / AI
The Recurrent Transformer: Greater Effective Depth and Efficient Decoding
The Recurrent Transformer is a novel architecture designed to overcome the "temporal shallowness" of standard Transformers. By introducing layerwise recurrence, the model uses a combination of temporary and persistent key-value pairs to allow each layer to maintain a continuously updating internal memory. This mechanism enables the model to perform complex, iterative reasoning across a sequence without requiring massive layer stacks.
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