AI models
life2vec
Training compute
1.6×10¹⁴ FLOP
Parameters
8.4M
Published
Jun 5, 2023
life2vec is an AI model developed by Technical University of Denmark and University of Copenhagen (Denmark), first published in June 2023. It works in the medicine domain, on tasks such as mortality prediction.
Training it took an estimated 1.6×10¹⁴ FLOP of compute (estimation method: operation counting). The model has 8,400,000 parameters. It was trained on roughly 3.3M datapoints.
Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- Technical University of Denmark, University of Copenhagen
- Country of organization
- Denmark
- Domain
- Medicine
- Task
- Mortality prediction
- Training compute
- 1.6×10¹⁴ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 8,400,000
- Dataset size
- 3.3M
- Model accessibility
- Unreleased
- Open weights
- No
- Epoch confidence
- Speculative
More from Technical University of Denmark,University of Copenhagen
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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