benchmark-methodology

Here are 2 public repositories matching this topic...

mj3b / cdfi-framework

Evaluation governance methodology for domain-specific AI doctrinal benchmarking. Derived from 7 AI safety publications. SAICRED v2 reference implementation.

ai-safety ai-evaluation ai-governance cdfi religious-ai catholic-ai benchmark-methodology doctrinal-fidelity saicred

Updated Jun 1, 2026
Python

Blackbird081 / Controlled-Vibe-Framework-CVF

Star

Local-first AI governance gateway for controlled agent/provider execution, audit receipts, cost signals, and public QBS benchmark methodology.

cost-control audit-trail local-first ai-governance llm-evaluation agent-governance benchmark-methodology

Updated Jun 1, 2026
TypeScript

Improve this page

Add a description, image, and links to the benchmark-methodology topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the benchmark-methodology topic, visit your repo's landing page and select "manage topics."

Learn more

Provide feedback

Saved searches

Use saved searches to filter your results more quickly