Term #2,401
hyperparameter
Claim Term
hyperparameter
Origin matter
A method for screening manuscripts
Reference Case 1
FPR-PAT-1
Date Added
1/5/26
Created
1/5/26, 8:52 PM
Modified
8/18/26, 4:56 PM
Full Desc
"Hyperparameter" refers to a configurable value that governs the operation of a machine-learning model, such as parameters that control the training process (e.g., learning rate, batch size, and number of epochs) and/or parameters that control inference-time generation (e.g., temperature, top-p, and maximum token limits). Hyperparameters are selected or tuned externally to the model and are not learned as part of the model weights.
Applications using this term
| Matter | Usage | Notes | Actions |
|---|---|---|---|
| FPR-PAT-1-PROV | Defined | — | App terms |