Context-dependent RNN is an AI model developed by Microsoft Research and Brno University of Technology (United States and Czechia), first published in July 2012. It works in the language domain, on tasks such as language modeling.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 37M datapoints.
The reference paper has 707 citations.