AI models
DOT(S)-RNN
Parameters
6.2M
Published
Dec 20, 2013
DOT(S)-RNN is an AI model developed by Aalto University and University of Montreal / Université de Montréal (Finland and Canada), first published in December 2013. It works in the language domain, on tasks such as language modeling.
Epoch AI has no training-compute estimate for this model. The model has 6,160,000 parameters. It was trained on roughly 929K datapoints.
Access: Unreleased. Its weights are not openly released. The reference paper has 1,255 citations.
Full record
- Organization
- Aalto University, University of Montreal / Université de Montréal
- Country of organization
- Finland, Canada
- Domain
- Language
- Task
- Language modeling
- Parameters
- 6,160,000
- Dataset size
- 929K
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 1,255
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
← All ai models