PurposeGates fine-tuned model checkpoints before promotion using a four-stage workflow: data-quality, capability-drift suite, paired arena, and canary. It applies drift budgets, paired comparison, and forgetting checks to produce a PROMOTE/REJECT verdict with evidence, preventing unsafe models from shipping and guiding remediation.

Domains

Others

Forms

Workflow
Required Tools
None
Languages
python
Package Manager
N/A
Skill Composition
  • SKILL.md50.0%
  • references50.0%