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RNN+LDA+KN5+cache

Parameters
9M
Published
Dec 1, 2012

RNN+LDA+KN5+cache is an AI model developed by Microsoft and Brno University of Technology (United States and Czechia), first published in December 2012. 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 9,000,000 parameters. It was trained on roughly 929K datapoints.

Access: Unreleased. Its weights are not openly released. The reference paper has 716 citations.

Full record
Organization
Microsoft, Brno University of Technology
Country of organization
United States, Czechia
Domain
Language
Task
Language modeling
Parameters
9,000,000
Dataset size
929K
Model accessibility
Unreleased
Open weights
No
Citations
716
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.
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