AI models
Loop-Diffusion
Published
Sep 26, 2024
Loop-Diffusion is an AI model developed by University of Washington (United States), first published in September 2024. It works in the biology domain, on tasks such as protein design.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 77.9M datapoints.
Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- University of Washington
- Country of organization
- United States
- Domain
- Biology
- Task
- Protein design
- Dataset size
- 77.9M
- Epoch confidence
- Confident
More from University of Washington
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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