AI models
SEST
Published
Mar 2, 2017
SEST is an AI model developed by Carnegie Mellon University (CMU) (United States), first published in March 2017. It works in the language domain, on tasks such as question answering.
Epoch AI has no training-compute estimate for this model. Training ran on 1 NVIDIA GeForce GTX 1080.
The reference paper has 53 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Carnegie Mellon University (CMU)
- Country of organization
- United States
- Domain
- Language
- Task
- Question answering
- Training hardware
- NVIDIA GeForce GTX 1080
- Chips used
- 1
- Training power draw
- 207 W
- Citations
- 53
- Epoch confidence
- Confident
More from Carnegie Mellon University (CMU)
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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