Recurrent depth is a model design in which information passes through selected computational layers repeatedly. Instead of moving through each layer only once, the model can loop over part of its network to perform additional internal processing.
The approach can give difficult problems more computation without requiring the model to express every intermediate step as extra text. A looped transformer is another name used for this type of recurrent computation inside transformer layers.
ELI5
Imagine reading a tricky sentence more than once before answering a question about it. Recurrent depth gives an AI model a similar chance to revisit its internal work.
For example, an easy arithmetic question might need one pass, while a harder puzzle might benefit from several passes through the same useful layers before the model answers.
