Enterprise Reflux Laya
A Laya checkpoint specialised on Enterprise Reflex dynamic action-selection data.
Base
convaiinnovations/laya
This experiment preserves Laya's published decision architecture and its RLCD + soft-cross-entropy fine-tuning recipe.
Data
yasserrmd/enterprise-reflex-datasetyasserrmd/enterprise-reflex-v1-hard-dataset
Original pair rows are reconstructed into dynamic Laya choice questions. Multi-positive groups are represented as probability distributions.
Frozen extreme-200
| Metric | Result |
|---|---|
| Top-1 | 54.00% |
| Top-2 | 75.00% |
| Top-3 | 87.00% |
| System-1 coverage | 7.00% |
| System-1 accuracy | 100.00% |
| Unsafe observed System-1 failures | 0 |
Validation-selected autonomous threshold: 0.990
Choice temperature fitted on a held-out calibration subset: 3.509195
Important
This is a research decision model, not an authorization or policy engine. Deterministic permissions, preconditions, risk controls, and required human approvals remain external.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for yasserrmd/enterprise-reflux-laya
Base model
convaiinnovations/laya
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js