AI models
RankNet
Training compute
3.5×10¹² FLOP
Parameters
5.7K
Published
Aug 7, 2005
RankNet is an AI model developed by Microsoft Research and Microsoft (United States), first published in August 2005. It works in the search domain, on tasks such as search.
Training it took an estimated 3.5×10¹² FLOP of compute (estimation method: operation counting). The model has 5,711 parameters. It was trained on roughly 3.5M datapoints.
Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Microsoft Research, Microsoft
- Country of organization
- United States
- Domain
- Search
- Task
- Search
- Training compute
- 3.5×10¹² FLOP
- Compute estimation method
- Operation counting
- Parameters
- 5,711
- Dataset size
- 3.5M
- Training time
- 6 h
- Model accessibility
- Unreleased
- Open weights
- No
- Epoch confidence
- Confident
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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