AI models
Neural LM
Training compute
6.3×10¹⁵ FLOP
Parameters
6.9M
Published
Nov 28, 2000
Neural LM is an AI model developed by University of Montreal / Université de Montréal (Canada), first published in November 2000. It works in the language domain, on tasks such as language modeling. It counts among the frontier models: the systems trained with the most compute of their moment.
Training it took an estimated 6.3×10¹⁵ FLOP of compute (estimation method: operation counting). The model has 6,906,980 parameters. It was trained on roughly 32M datapoints.
The reference paper has 7,637 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University of Montreal / Université de Montréal
- Country of organization
- Canada
- Domain
- Language
- Task
- Language modeling
- Training compute
- 6.3×10¹⁵ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 6,906,980
- Dataset size
- 32M
- Citations
- 7,637
- Epoch confidence
- Confident
More from University of Montreal / Université de Montréal
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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