AI models
JPMAX
Training compute
8.1×10⁷ FLOP
Parameters
4.4K
Published
Dec 2, 1994
JPMAX is an AI model, first published in December 1994. It works in the vision domain, on tasks such as image representation.
Training it took an estimated 8.1×10⁷ FLOP of compute (estimation method: operation counting). The model has 4,446 parameters. It was trained on roughly 1.5K datapoints.
Epoch AI rates the confidence of this record as speculative.
Full record
- Domain
- Vision
- Task
- Image representation
- Training compute
- 8.1×10⁷ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 4,446
- Dataset size
- 1.5K
- Epoch confidence
- Speculative
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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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