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| title: AI Validation Framework | |
| emoji: ✅ | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: static | |
| app_file: index.html | |
| pinned: false | |
| short_description: Build a practical validation plan for AI systems. | |
| license: apache-2.0 | |
| # AI Validation Framework | |
| An interactive framework for designing validation plans across AI models, agents, data, tools, outputs, and production systems. | |
| The tool helps teams identify relevant validation dimensions, suggested evidence, and practical checks based on the type of AI system being assessed. | |
| ## What it covers | |
| - Model validation | |
| - Agent validation | |
| - Data validation | |
| - Tool-use validation | |
| - Output validation | |
| - System validation | |
| - Reliability and robustness | |
| - Observability and production evidence | |
| - Revalidation triggers | |
| - Validation readiness | |
| This is an open technical resource for research, engineering, and enterprise AI teams. | |
| **Maintained by the Validation organization on Hugging Face.** | |
| For research and industry collaborations: **agenten@magenta.de** | |